ICASSP 2022 Accepted Papers

The full list of 1,864 papers accepted at ICASSP 2022 (IEEE International Conference on Acoustics, Speech and Signal Processing). Click any title for details, similar papers, and links to the original source. You can also search these papers by meaning, not just keywords.

Lattention: Lattice-Attention in ASR Rescoring
Lattice Rescoring Based on Large Ensemble of Complementary Neural Language Models
LatticeBART: Lattice-to-Lattice Pre-Training for Speech Recognition
Learnable Hypergraph Laplacian for Hypergraph Learning
Learnable Nonlinear Compression for Robust Speaker Verification
Learnable Wavelet Packet Transform for Data-Adapted Spectrograms
Learning Acoustic Frame Labeling for Phoneme Segmentation with Regularized Attention Mechanism
Learning Adjustable Image Rescaling with Joint Optimization of Perception and Distortion
Learning Approach For Fast Approximate Matrix Factorizations
Learning Common Dependency Structure for Unsupervised Cross-Domain Ner
Learning Continuous Representation of Audio for Arbitrary Scale Super Resolution
Learning Correlation for Online Multiple Object Tracking
Learning Decoupling Features Through Orthogonality Regularization
Learning Deep Pathological Features for WSI-Level Cervical Cancer Grading
Learning Domain-Invariant Transformation for Speaker Verification
Learning Expanding Graphs for Signal Interpolation
Learning Filterbanks for End-to-End Acoustic Beamforming
Learning Gaussian Graphical Models with Differing Pairwise Sample Sizes
Learning Monocular 3D Human Pose Estimation With Skeletal Interpolation
Learning Monocular Mesh Recovery of Multiple Body Parts Via Synthesis
Learning Multiple Explainable and Generalizable Cues for Face Anti-Spoofing
Learning Music Audio Representations Via Weak Language Supervision
Learning Music Sequence Representation From Text Supervision
Learning Semantic-Aligned Feature Representation for Text-Based Person Search
Learning Sound Localization Better from Semantically Similar Samples
Learning Sparse Graphs with a Core-Periphery Structure
Learning Structured Sparsity For Time-Frequency Reconstruction
Learning Subject-Invariant Representations from Speech-Evoked EEG Using Variational Autoencoders
Learning Task-Specific Representation for Video Anomaly Detection with Spatial-Temporal Attention
Learning To Integrate Vision Data Into Road Network Data
Learning to Enhance or Not: Neural Network-Based Switching of Enhanced and Observed Signals for Overlapping Speech Recognition
Learning to Fuse Heterogeneous Features for Low-Light Image Enhancement
Learning to Predict Speech in Silent Videos Via Audiovisual Analogy
Learning to Sample for Sparse Signals
Learning-Aided Initialization for Variational Bayesian DOA Estimation
Learning-Based Personal Speech Enhancement for Teleconferencing by Exploiting Spatial-Spectral Features
Learning-Based Resource Allocation with Dynamic Data Rate Constraints
Learnings from Federated Learning in The Real World
Leveraging Bilinear Attention to Improve Spoken Language Understanding
Leveraging Local Temporal Information for Multimodal Scene Classification
Leveraging Sparse Coding for EEG Based Emotion Recognition in Shooting
LightPose: A Lightweight and Efficient Model with Transformer for Human Pose Estimation
Linear-Time Sampling on Signed Graphs Via Gershgorin Disc Perfect Alignment
Lipreading Model Based On Whole-Part Collaborative Learning
Listen, Know and Spell: Knowledge-Infused Subword Modeling for Improving ASR Performance of OOV Named Entities
LiteHAR: Lightweight Human Activity Recognition from WIFI Signals with Random Convolution Kernels
LocUNet: Fast Urban Positioning Using Radio Maps and Deep Learning
Local Context Interaction-Aware Glyph-Vectors for Chinese Sequence Tagging
Local Information Modeling with Self-Attention for Speaker Verification
Local and Global Alignments for Generalizable Sensor-Based Human Activity Recognition
Local-Global Feature Aggregation for Light Field Image Super-Resolution
Localization based Sequential Grouping for Continuous Speech Separation
Localizing More Sources than Sensors in Presence of Coherent Sources
Locate This, Not that: Class-Conditioned Sound Event DOA Estimation
Location-Based Training for Multi-Channel Talker-Independent Speaker Separation
Look, Listen and Pay More Attention: Fusing Multi-Modal Information for Video Violence Detection
Low Complex Accurate Multi-Source RTF Estimation
Low Complexity Equalization for Afdm In Doubly Dispersive Channels
Low Precision Local Learning for Hardware-Friendly Neuromorphic Visual Recognition
Low Resources Online Single-Microphone Speech Enhancement with Harmonic Emphasis
Low-Complexity Attention Modelling via Graph Tensor Networks
Low-Complexity Multi-Model CNN in-Loop Filter for AVS3
Low-Latency Human-Computer Auditory Interface Based on Real-Time Vision Analysis
Low-Light Image Enhancement via Feature Restoration
Low-Rank Phase Retrieval with Structured Tensor Models
M2Met: The Icassp 2022 Multi-Channel Multi-Party Meeting Transcription Challenge
MA-NET: Multi-Scale Attention-Aware Network for Optical Flow Estimation
MAG+: An Extended Multimodal Adaptation Gate for Multimodal Sentiment Analysis
MAKD: MULTIPLE Auxiliary Knowledge Distillation
MANNER: Multi-View Attention Network For Noise Erasure
MBA-RainGAN: A Multi-Branch Attention Generative Adversarial Network for Mixture of Rain Removal
MBNet: A Multi-Resolution Branch Network for Semantic Segmentation Of Ultra-High Resolution Images
MEJIGCLU: More Effective Jigsaw Clustering For Unsupervised Visual Representation Learning
MFA: TDNN with Multi-Scale Frequency-Channel Attention for Text-Independent Speaker Verification with Short Utterances
MLP-SVNET: A Multi-Layer Perceptrons Based Network for Speaker Verification
MM-DFN: Multimodal Dynamic Fusion Network for Emotion Recognition in Conversations
MOS Predictor for Synthetic Speech with I-Vector Inputs
MRI Recovery with a Self-Calibrated Denoiser
MS-ROCANet: Multi-Scale Residual Orthogonal-Channel Attention Network for Scene Text Detection
MSDTRON: A High-Capability Multi-Speaker Speech Synthesis System for Diverse Data Using Characteristic Information
MTAF: Shopping Guide Micro-Videos Popularity Prediction Using Multimodal and Temporal Attention Fusion Approach
Magic Dust for Cross-Lingual Adaptation of Monolingual Wav2vec-2.0
Making The Unknown More Certain: A Stacked Ensemble Classifier for Open Gesture Recognition with a Social Robot
Manifold Learning-Supported Estimation of Relative Transfer Functions For Spatial Filtering
Mannet: A Large-Scale Manipulated Image Detection Dataset And Baseline Evaluations
Map: Multispectral Adversarial Patch to Attack Person Detection
Mask-Based Attention Parallel Network for in-the-Wild Facial Expression Recognition
Masked Acoustic Unit for Mispronunciation Detection and Correction
Massive Unsourced Random Access Based on Bilinear Vector Approximate Message Passing
Massively Multilingual ASR: A Lifelong Learning Solution
Matching Point Sets with Quantum Circuit Learning
Material-Guided Siamese Fusion Network for Hyperspectral Object Tracking
Matrix Decomposition on Graphs: A Simplified Functional View
Maximizing Audio Event Detection Model Performance on Small Datasets Through Knowledge Transfer, Data Augmentation, and Pretraining: an Ablation Study
Maximum Batch Frobenius Norm for Multi-Domain Text Classification
Melons: Generating Melody With Long-Term Structure Using Transformers And Structure Graph
Memobert: Pre-Training Model with Prompt-Based Learning for Multimodal Emotion Recognition
Memory in Echo State Networks and the Controllability Matrix Rank
Memory-Based Message Passing: Decoupling the Message for Propagation from Discrimination
Message Passing-Based Cooperative Localization with Embedded Particle Flow
Meta Talk: Learning To Data-Efficiently Generate Audio-Driven Lip-Synchronized Talking Face With High Definition
MetricGAN-U: Unsupervised Speech Enhancement/ Dereverberation Based Only on Noisy/ Reverberated Speech
Metricbert: Text Representation Learning Via Self-Supervised Triplet Training
Mimo Detection by Variational Posterior Inference
Minimizing Residuals for Native-Nonnative Voice Conversion in a Sparse, Anchor-Based Representation of Speech
Minimum Word Error Training For Non-Autoregressive Transformer-Based Code-Switching ASR
Mining Hard Samples Locally And Globally For Improved Speech Separation
Mismatched Supervised Learning
Mitigating Closed-Model Adversarial Examples with Bayesian Neural Modeling for Enhanced End-to-End Speech Recognition
Mixed In Time And Modality: Curse Or Blessingƒ Cross-Instance Data Augmentation for Weakly Supervised Multimodal Temporal Fusion
Mixed Knowledge Relation Transformer for Image Captioning
Mixed Precision DNN Quantization for Overlapped Speech Separation and Recognition
Mixed Transformer U-Net for Medical Image Segmentation
Mixer-TTS: Non-Autoregressive, Fast and Compact Text-to-Speech Model Conditioned on Language Model Embeddings
Mixture Model Auto-Encoders: Deep Clustering Through Dictionary Learning
Mmlatch: Bottom-Up Top-Down Fusion For Multimodal Sentiment Analysis
Model Selection via Misspecified Cramér-Rao Bound Minimization
Model-Based Approach for Measuring the Fairness in ASR
Model-Based Online Learning for Resource Sharing in Joint Radar-Communication Systems
Model-Based Reconstruction for Collimated Beam Ultrasound Systems
Modeling Beats and Downbeats with a Time-Frequency Transformer
Modeling Human Memory in Multi-Object Tracking with Transformers
Modeling Intention, Emotion and External World in Dialogue Systems
Modeling The Detection Capability Of High-Speed Spiking Cameras
Modeling of Pre-Trained Neural Network Embeddings Learned From Raw Waveform for COVID-19 Infection Detection
Modernn: Towards Fine-Grained Motion Details for Spatiotemporal Predictive Learning
Modulo Event-Driven Sampling: System Identification and Hardware Experiments
Monocular Vehicle 3D Bounding Box Estimation Using Homograhy and Geometry in Traffic Scene
Monotonic Generalized Nash Games with Application to the Management of Energy-Aware Aloha Networks
Motif-Topology and Reward-Learning Improved Spiking Neural Network for Efficient Multi-Sensory Integration
Multi-ACCDOA: Localizing And Detecting Overlapping Sounds From The Same Class With Auxiliary Duplicating Permutation Invariant Training
Multi-Channel Attentive Graph Convolutional Network with Sentiment Fusion for Multimodal Sentiment Analysis
Multi-Channel End-To-End Neural Diarization with Distributed Microphones
Multi-Channel Multi-Speaker ASR Using 3D Spatial Feature
Multi-Channel Narrow-Band Deep Speech Separation with Full-Band Permutation Invariant Training
Multi-Channel Speaker Diarization Using Spatial Features for Meetings
Multi-Channel Speaker Verification with Conv-Tasnet Based Beamformer
Multi-Channel Speech Denoising for Machine Ears
Multi-Domain Unpaired Ultrasound Image Artifact Removal Using a Single Convolutional Neural Network
Multi-Domain Unsupervised Image-to-Image Translation with Appearance Adaptive Convolution
Multi-Feature Integration for Speaker Embedding Extraction
Multi-Focus Guided Semantic Aggregation for Video Object Detection
Multi-Frame Full-Rank Spatial Covariance Analysis for Underdetermined BSS in Reverberant Environments
Multi-Frame Super-Resolution With Raw Images Via Modified Deformable Convolution
Multi-Head Relu Implicit Neural Representation Networks
Multi-Hierarchy Proxy Structure for Deep Metric Learning
Multi-Level Contrastive Learning for Cross-Lingual Alignment
Multi-Level Relation Aware Network for Person Re-Identification
Multi-Level Spatial-Temporal Adaptation Network for Motor Imagery Classification
Multi-Lingual Multi-Task Speech Emotion Recognition Using wav2vec 2.0
Multi-Modal Acoustic-Articulatory Feature Fusion For Dysarthric Speech Recognition
Multi-Modal Emotion Recognition with Self-Guided Modality Calibration
Multi-Modal Learning with Text Merging for TEXTVQA
Multi-Modal Pre-Training for Automated Speech Recognition
Multi-Modal Recurrent Fusion for Indoor Localization
Multi-Pose Virtual Try-On Via Self-Adaptive Feature Filtering
Multi-Query Multi-Head Attention Pooling and Inter-Topk Penalty for Speaker Verification
Multi-Relation Message Passing for Multi-Label Text Classification
Multi-Role Event Argument Extraction as Machine Reading Comprehension with Argument Match Optimization
Multi-Sample Subband Wavernn Via Multivariate Gaussian
Multi-Scale Refinement Network Based Acoustic Echo Cancellation
Multi-Scale Reinforcement Learning Strategy for Object Detection
Multi-Scale Speaker Embedding-Based Graph Attention Networks For Speaker Diarisation
Multi-Scale Temporal Frequency Convolutional Network With Axial Attention for Speech Enhancement
Multi-Scale Temporal Frequency Convolutional Network with Axial Attention for Multi-Channel Speech Enhancement
Multi-Speaker Pitch Tracking via Embodied Self-Supervised Learning
Multi-Stage Graph Representation Learning for Dialogue-Level Speech Emotion Recognition
Multi-Stage and Multi-Loss Training for Fullband Non-Personalized and Personalized Speech Enhancement
Multi-Task Deep Residual Echo Suppression with Echo-Aware Loss
Multi-Task Gaussian Process Regression for the Detection of Sleep Cycles in Premature Infants
Multi-Task Learning Improves Synthetic Speech Detection
Multi-Task Learning Improves the Brain Stoke Lesion Segmentation
Multi-Task RNN-T with Semantic Decoder for Streamable Spoken Language Understanding
Multi-Task Voice Activated Framework Using Self-Supervised Learning
Multi-Task fMRI Data Fusion Using IVA and PARAFAC2
Multi-Turn Incomplete Utterance Restoration As Object Detection
Multi-Turn RNN-T for Streaming Recognition of Multi-Party Speech
Multi-View And Multi-Modal Event Detection Utilizing Transformer-Based Multi-Sensor Fusion
Multi-View Data Representation Via Deep Autoencoder-Like Nonnegative Matrix Factorization
Multi-View Information Bottleneck Without Variational Approximation
Multi-View Learning Based on Non-Redundant Fusion for Icu Patient Mortality Prediction
Multi-View Self-Attention Based Transformer for Speaker Recognition
Multiband Image Fusion with Controllable Error Guarantees
Multichannel Noise Reduction Using Dilated Multichannel U-Net and Pre-Trained Single-Channel Network
Multichannel Speech Enhancement Without Beamforming
Multilingual Second-Pass Rescoring for Automatic Speech Recognition Systems
Multilingual Text-To-Speech Training Using Cross Language Voice Conversion And Self-Supervised Learning Of Speech Representations
Multimodal Depression Classification using Articulatory Coordination Features and Hierarchical Attention Based text Embeddings
Multimodal Emotion Recognition with Surgical and Fabric Masks
Multimodal Evaluation Method for Sound Event Detection
Multimodal Graph Signal Denoising Via Twofold Graph Smoothness Regularization with Deep Algorithm Unrolling
Multimodal Sentiment Analysis on Unaligned Sequences Via Holographic Embedding
Multimodal Transformer with Learnable Frontend and Self Attention for Emotion Recognition
Multiple Instance Learning with Task-Specific Multi-Level Features for Weakly Annotated Histopathological Image Classification
Multiple Kernel K-Means Clustering with Simultaneous Spectral Rotation
Multiple Offsets Multilateration: A New Paradigm for Sensor Network Calibration with Unsynchronized Reference Nodes
Multiple Patch-Aware Network for Faster Real-World Image Dehazing
Multiple Temporal Context Embedding Networks for Unsupervised time Series Anomaly Detection
Multiplication-Avoiding Variant of Power Iteration with Applications
Multiscale Attention Aggregation Network for 2D Vessel Segmentation
Multiscale Crowd Counting and Localization By Multitask Point Supervision
Multistream Neural Architectures for Cued Speech Recognition Using a Pre-Trained Visual Feature Extractor and Constrained CTC Decoding
Multisv: Dataset for Far-Field Multi-Channel Speaker Verification
Multitask Gaussian Process With Hierarchical Latent Interactions
Multitask Sparse Neural Network for Hyperspectral Image Denoising
Multivariate Multiscale Cosine Similarity Entropy
Multiview Long-Short Spatial Contrastive Learning For 3D Medical Image Analysis
Music Enhancement via Image Translation and Vocoding
Music Identification Using Brain Responses to Initial Snippets
Music Phrase Inpainting Using Long-Term Representation and Contrastive Loss
Music Source Separation With Deep Equilibrium Models
Musicyolo: A Sight-Singing Onset/Offset Detection Framework Based on Object Detection Instead of Spectrum Frames
NEX+: Novel View Synthesis with Neural Regularisation Over Multi-Plane Images
NFT-K: Non-Fungible Tangent Kernels
NN3A: Neural Network Supported Acoustic Echo Cancellation, Noise Suppression and Automatic Gain Control for Real-Time Communications
NVC-Net: End-To-End Adversarial Voice Conversion
Natural-Looking Adversarial Examples from Freehand Sketches
Navigating Audio-Visual Event Detection Across Mismatched Modalities
Nearest Subspace Search in The Signed Cumulative Distribution Transform Space For 1d Signal Classification
Neartracker: Acoustic 2-D Target Tracking with Nearby Reflector in Siso System
Neighbor-Augmented Transformer-Based Embedding for Retrieval
Netrca: An Effective Network Fault Cause Localization Algorithm
Neufa: Neural Network Based End-to-End Forced Alignment with Bidirectional Attention Mechanism
Neural Architecture Search for Speech Emotion Recognition
Neural Audio-To-Score Music Transcription For Unconstrained Polyphony Using Compact Output Representations
Neural Cascade Architecture for Joint Acoustic Echo and Noise Suppression
Neural Collapse in Deep Homogeneous Classifiers and The Role of Weight Decay
Neural Grapheme-To-Phoneme Conversion with Pre-Trained Grapheme Models
Neural HMMS Are All You Need (For High-Quality Attention-Free TTS)
Neural Network-Based Compression Framework for DOA Estimation Exploiting Distributed Array
Neural Speech Synthesis on a Shoestring: Improving the Efficiency of Lpcnet
Neural-FST Class Language Model for End-to-End Speech Recognition
New Improved Criterion for Model Selection in Sparse High-Dimensional Linear Regression Models
News Recommendation Via Multi-Interest News Sequence Modelling
No More Than 6ft Apart: Robust K-Means via Radius Upper Bounds
No-Reference Quality Assessment of Variable Frame-Rate Videos Using Temporal Bandpass Statistics
Node Slicing Broad Learning System for Text Classification
Node-Screening Tests For The L0-Penalized Least-Squares Problem
Noise Suppression for Improved Few-Shot Learning
Noise-Robust Speech Recognition With 10 Minutes Unparalleled In-Domain Data
Non-Autoregressive ASR with Self-Conditioned Folded Encoders
Non-Autoregressive End-To-End Automatic Speech Recognition Incorporating Downstream Natural Language Processing
Non-Autoregressive Transformer with Unified Bidirectional Decoder for Automatic Speech Recognition
Non-Invasive Blood Pressure Monitoring with Multi-Modal In-Ear Sensing
Non-Rigid Transformation Based Adversarial Attack Against 3d Object Tracking
Nonlinear Signal Decomposition Based on Block Sparse Approximation
Nonverbal Sound Detection for Disordered Speech
Not All Features are Equal: Selection of Robust Features for Speech Emotion Recognition in Noisy Environments
Novel Class Discovery: A Dependency Approach
Novel Instance Mining with Pseudo-Margin Evaluation for Few-Shot Object Detection
OPTE: Online Per-Title Encoding for Live Video Streaming
ORCA-PARTY: An Automatic Killer Whale Sound Type Separation Toolkit Using Deep Learning
OT Cleaner: Label Correction as Optimal Transport
Object Detection and Tracking in Ultrasound Scans Using an Optical Flow and Semantic Segmentation Framework Based on Convolutional Neural Networks
Object-Oriented Backdoor Attack Against Image Captioning
Occluded Person Re-Identification Via Relational Adaptive Feature Correction Learning
Off-The-Grid Covariance-Based Super-Resolution Fluctuation Microscopy
Off-the-Shelf Deep Integration For Residual-Echo Suppression
Omni-Sparsity DNN: Fast Sparsity Optimization for On-Device Streaming E2E ASR Via Supernet
On Adversarial Robustness Of Large-Scale Audio Visual Learning
On Continuous-Domain Inverse Problems with Sparse Superpositions of Decaying Sinusoids as Solutions
On Federated Learning with Energy Harvesting Clients
On Identifiable Polytope Characterization for Polytopic Matrix Factorization
On Language Model Integration for RNN Transducer Based Speech Recognition
On Loss Functions and Evaluation Metrics for Music Source Separation
On Mini-Batch Training with Varying Length Time Series
On Spectral and Temporal Sparsification of Speech Signals for the Improvement of Speech Perception in CI Listeners
On Submodular Set Cover Problems for Near-Optimal Online Kernel Basis Selection
On Synchronization of Wireless Acoustic Sensor Networks in the Presence of Time-Varying Sampling Rate Offsets and Speaker Changes
On The Convergence of ADAM-Type Algorithms for Solving Structured Single Node and Decentralized Min-Max Saddle Point Games
On The Effectiveness of Active Learning by Uncertainty Sampling in Classification of High-Dimensional Gaussian Mixture Data
On The Impact of Normalization Strategies in Unsupervised Adversarial Domain Adaptation for Acoustic Scene Classification
On The Observability in Visual Slam Networks
On The Relaxation of Orthogonal Tensor Rank and Its Nonconvex Riemannian Optimization for Tensor Completion
On the Acquisition of Stationary Signals Using Uniform ADCS
On the False Alarm Probability of the Normalized Matched Filter for Off-Grid Target Detection
On the Importance of Different Frequency Bins for Speaker Verification
On the Interplay between Sparsity, Naturalness, Intelligibility, and Prosody in Speech Synthesis
On the Potential of Spatially-Spread Orthogonal Time Frequency Space Modulation for ISAC Transmissions
On the Prediction of the Frequency Response of a Wooden Plate from Its Mechanical Parameters
On the Stability of Low Pass Graph Filter with a Large Number of Edge Rewires
On the Use of Component Structural Characteristics for Voxel Segmentation in Semicon 3D Images
On the Use of Geodesic Triangles between Gaussian Distributions for Classification Problems
One Model to Enhance Them All: Array Geometry Agnostic Multi-Channel Personalized Speech Enhancement
One TTS Alignment to Rule Them All
One-Shot Voice Conversion For Style Transfer Based On Speaker Adaptation
Online Continual Learning Using Enhanced Random Vector Functional Link Networks
Online Detection of Scalp-Invisible Mesial-Temporal Brain Interictal Epileptiform Discharges from EEG
Online Ecg Biometrics Via Hadamard Code
Online Learning for Latent Yule-Simon Processes
Online Learning with Probabilistic Feedback
OpenFEAT: Improving Speaker Identification by Open-Set Few-Shot Embedding Adaptation with Transformer
Operator Formulation for Linear Transformations and Signal Estimation in the Joint Spatial-Slepian Domain
Optimal Combination Policies for Adaptive Social Learning
Optimal Qos-Aware Network Slicing for Service-Oriented Networks with Flexible Routing
Optimal Resource Allocation and Beamforming for Two-User Miso WPCNS for a Non-Linear Circuit-Based EH Model : (Invited Paper)
Optimization Guarantees for ISTA and ADMM Based Unfolded Networks
Optimization of Compressive Light Field Display in Dual-Guided Learning
Optimization of a Fixed Virtual Sensing Feedback ANC Controller For In-Ear Headphones with Multiple Loudspeakers
Optimize Wav2vec2s Architecture for Small Training Set Through Analyzing its Pre-Trained Models Attention Pattern
Optimizing Alignment of Speech and Language Latent Spaces for End-To-End Speech Recognition and Understanding
Optimizing Latent Space Directions for Gan-Based Local Image Editing
Optimizing The Consumption Of Spiking Neural Networks With Activity Regularization
Optm3sec: Optimizing Multicast Irs-Aided Multiantenna Dfrc Secrecy Channel With Multiple Eavesdroppers
Orthogonal Nonnegative Matrix Tri-Factorization for Community Detection in Multiplex Networks
Out-Of-Distribution As A Target Class in Semi-Supervised Learning
Over-Parameterized Network Solves Phase Retrieval Effectively
Over-the-Air Personalized Federated Learning
PAMA-TTS: Progression-Aware Monotonic Attention for Stable SEQ2SEQ TTS with Accurate Phoneme Duration Control
PDD-Net: A Precise Defect Detection Network Based on Point Set Representation
PEAR: Photographic Embedding for Aesthetic Rating
PGTRNET: Two-Phase Weakly Supervised Object Detection with Pseudo Ground Truth Refinement
PMP-NET: Rethinking Visual Context for Scene Graph Generation
POPO: Pessimistic Offline Policy Optimization
PU-Refiner: A Geometry Refiner with Adversarial Learning for Point Cloud Upsampling
PVAE-TTS: Adaptive Text-to-Speech via Progressive Style Adaptation
PYXIS: An Open-Source Performance Dataset Of Sparse Accelerators
Pair-Level Supervised Contrastive Learning for Natural Language Inference
Panchromatic Imagery Copy-Paste Localization Through Data-Driven Sensor Attribution
Parallel Composition of Weighted Finite-State Transducers
Parameter Estimation in Sparse Inverse Problems Using Bernoulli-Gaussian Prior
Parameter-Free Style Projection for Arbitrary Image Style Transfer
Parametric Modeling of Human Wrist for Bioimpedance-Based Physiological Sensing
Parametric Models for Doa Trajectory Localization
Part-of-Speech Models Compression Methods for on-Device Grapheme-to-Phoneme Conversion
Partial Arithmetic Consensus based Distributed Intensity Particle Flow SMC-PHD Filter for Multi-Target Tracking
Partial Variable Training for Efficient on-Device Federated Learning
Partially Fake Audio Detection by Self-Attention-Based Fake Span Discovery
Partially Relaxed Orthogonal Least Squares Weighted Subspace Fitting Direction-of-Arrival Estimation
Pas-Mef: Multi-Exposure Image Fusion Based On Principal Component Analysis, Adaptive Well-Exposedness And Saliency Map
Passtrans: An Improved Password Reuse Model Based on Transformer
Patch Steganalysis: A Sampling Based Defense Against Adversarial Steganography
Path Signatures for Non-Intrusive Load Monitoring
Peer Collaborative Learning for Polyphonic Sound Event Detection
Perfect Reconstruction of Classes of Non-Bandlimited Signals from Projections with Unknown Angles
Performance Optimization for Wireless Semantic Communications over Energy Harvesting Networks
Performance-Efficiency Trade-Offs in Unsupervised Pre-Training for Speech Recognition
Personalized Automatic Speech Recognition Trained on Small Disordered Speech Datasets
Personalized Pagerank Graph Attention Networks
Personalized speech enhancement: new models and Comprehensive evaluation
Phase Continuity: Learning Derivatives of Phase Spectrum for Speech Enhancement
Phase Control of Parametric Array Loudspeaker by Optimizing Sideband Weights
Phase Shifted Bedrosian Filterbank: An Interpretable Audio Front-End for Time-Domain Audio Source Separation
Phase-Only Reconfigurable Sparse Array Beamforming Using Deep Learning
Phone-Informed Refinement of Synthesized Mel Spectrogram for Data Augmentation in Speech Recognition
Phone-to-Audio Alignment without Text: A Semi-Supervised Approach
Phoneme Mispronunciation Detection By Jointly Learning To Align
Phonology Recognition in American Sign Language
Phonotactic Language Recognition Using A Universal Phoneme Recognizer and A Transformer Architecture
Photon-Limited Deblurring Using Algorithm Unrolling
Physical Layer Anonymous Communications: An Anonymity Entropy Oriented Precoding Design (Invited Paper)
Picknet: Real-Time Channel Selection for Ad Hoc Microphone Arrays
Pixel-Level and Affinity-Level Knowledge Distillation for Unsupervised Segmentation of Covid-19 Lesions
Pixinwav: Residual Steganography for Hiding Pixels in Audio
Plug-and-Play and Relay Regularizations on Noisy Low Rank Tensor Completion for Snapshot Multispectral Image Restoration
Point Cloud Attribute Compression Via Chroma Subsampling
Point Cloud Denoising Using Normal Vector-Based Graph Wavelet Shrinkage
Point-Mass Filter with Decomposition of Transient Density
Polyphone Disambiguation and Accent Prediction Using Pre-Trained Language Models in Japanese TTS Front-End
Polyphonic Audio Event Detection: Multi-Label or Multi-Class Multi-Task Classification Problem?
Position-Invariant Adversarial Attacks on Neural Modulation Recognition
PostGAN: A GAN-Based Post-Processor to Enhance the Quality of Coded Speech
Power Allocation for Wireless Federated Learning Using Graph Neural Networks
Power-Efficient Hybrid MIMO Receiver with Task-Specific Beamforming using Low-Resolution ADCs
Predicting Flat-Fading Channels via Meta-Learned Closed-Form Linear Filters and Equilibrium Propagation
Predicting Human Motion Using Key Subsequences
Predicting the Generalization Gap in Deep Models using Anchoring
Preliminary Results on the Generation of Artificial Handwriting Data Using a Decomposition-Recombination Strategy
Preserving Trajectory Privacy in Driving Data Release
Prime Knowledge with Local Pattern Consistency for Knowledge Distillation
Prior-Bert and Multi-Task Learning for Target-Aspect-Sentiment Joint Detection
Privacy Attacks for Automatic Speech Recognition Acoustic Models in A Federated Learning Framework
Privacy Protection In Learning Fair Representations
Privacy Sensitive Speech Analysis Using Federated Learning to Assess Depression
Privacy-Aware Communication over a Wiretap Channel with Generative Networks
Privacy-Enhancing Appliance Filtering For Smart Meters
Privacy-Preserving Action Recognition
Privacy-Preserving Distributed Expectation Maximization for Gaussian Mixture Model Using Subspace Perturbation
Privacy-Preserving Federated Multi-Task Linear Regression: A One-Shot Linear Mixing Approach Inspired By Graph Regularization
Private Learning Via Knowledge Transfer with High-Dimensional Targets
Probabilistic Fine-Grained Urban Flow Inference with Normalizing Flows
Probably Pleasant? A Neural-Probabilistic Approach to Automatic Masker Selection for Urban Soundscape Augmentation
Progressive Continual Learning for Spoken Keyword Spotting
Progressive Image Super-Resolution via Neural Differential Equation
Progressive Multi-Stage Neural Audio Coding with Guided References
Progressive Teacher-Student Training Framework for Music Tagging
Progressive-Granularity Retrieval Via Hierarchical Feature Alignment for Person Re-Identification
Prosodyspeech: Towards Advanced Prosody Model for Neural Text-to-Speech
Prosospeech: Enhancing Prosody with Quantized Vector Pre-Training in Text-To-Speech
Prototype Learning for Interpretable Respiratory Sound Analysis
Prototype-Based Inter-Camera Learning for Person Re-Identification
Provable Sample Complexity Guarantees For Learning Of Continuous-Action Graphical Games With Nonparametric Utilities
Provable Second-Order Riemannian Gauss-Newton Method for Low-Rank Tensor Estimation ‖
Proximal-Based Adaptive Simulated Annealing for Global Optimization
Pseudo Strong Labels for Large Scale Weakly Supervised Audio Tagging
Pseudo-Interacting Guided Network for Few-Shot Segmentation
Pseudo-Label Transfer from Frame-Level to Note-Level in a Teacher-Student Framework for Singing Transcription from Polyphonic Music
Pseudo-Labeling for Massively Multilingual Speech Recognition
Punctuation Prediction for Streaming On-Device Speech Recognition
Pyramid Fusion Attention Network For Single Image Super-Resolution
QA4QG: Using Question Answering to Constrain Multi-Hop Question Generation
Qrelation: an Agent Relation-Based Approach for Multi-Agent Reinforcement Learning Value Function Factorization
Quantifying Discriminability between NMF Bases
Quantization-Aware Precoding For Mu-Mimo With Limited-Capacity Fronthaul
Quantized Winograd Acceleration for CONV1D Equipped ASR Models on Mobile Devices
Quantum Federated Learning with Quantum Data
Quantum Long Short-Term Memory
Quickest Detection of Composite and Non-Stationary Changes with Application to Pandemic Monitoring
RCANet: Row-Column Attention Network for Semantic Segmentation
RIS-Aided Monostatic Mimo Radar with Co-Located Antennas
RTSNet: Deep Learning Aided Kalman Smoothing
Randomized Smoothing Under Attack: How Good is it in Practice?
Rangeinet: Fast Lidar Point Cloud Temporal Interpolation
Rank-Based Loss For Learning Hierarchical Representations
Rate Coding Or Direct Coding: Which One Is Better For Accurate, Robust, And Energy-Efficient Spiking Neural Networks?
Rate Control for Learned Video Compression
Rational Arrays for DOA Estimation
Raw Plenoptic Video Coding Under Hexagonal Lattice Resolution of Motion Vectors
Raw Source and Filter Modelling for Dysarthric Speech Recognition
RawNeXt: Speaker Verification System For Variable-Duration Utterances With Deep Layer Aggregation And Extended Dynamic Scaling Policies
Rawboost: A Raw Data Boosting and Augmentation Method Applied to Automatic Speaker Verification Anti-Spoofing
Real Additive Margin Softmax for Speaker Verification
Real-M: Towards Speech Separation on Real Mixtures
Real-Time Fall Detection Using Mmwave Radar
Real-World Adversarial Examples Via Makeup
Real-World On-Board Uav Audio Data Set For Propeller Anomalies
Realistic Monocular-To-3d Virtual Try-On Via Multi-Scale Characteristics Capture
Recognition Of Silently Spoken Word From Eeg Signals Using Dense Attention Network (DAN)
Recovery of Graph Signals From Sign Measurements
Recovery of Noisy Pooled Tests via Learned Factor Graphs with Application to COVID-19 Testing
Recurrent Design of Probing Waveform for Sparse Bayesian Learning Based DOA Estimation
Referee: Towards Reference-Free Cross-Speaker Style Transfer with Low-Quality Data for Expressive Speech Synthesis
Reference Microphone Selection and Low-Rank Approximation Based Multichannel Wiener Filter with Application to Speech Recognition
Reformulating Speaker Diarization As Community Detection With Emphasis On Topological Structure
Region-to-Region Kernel Interpolation of Acoustic Transfer Function with Directional Weighting
Regression Assisted Matrix Completion for Reconstructing a Propagation Field with Application to Source Localization
Regularization Using Denoising: Exact and Robust Signal Recovery
Regularized Latent Space Exploration for Discriminative Face Super-Resolution
Relation Discovery in Nonlinearly Related Large-Scale Settings
Relative Viewpoint Estimation Based on Structured 3d Representation Alignment
Remix-Cycle-Consistent Learning on Adversarially Learned Separator for Accurate and Stable Unsupervised Speech Separation
Repeat after Me: Self-Supervised Learning of Acoustic-to-Articulatory Mapping by Vocal Imitation
Repetition Assessment for Speech and Language Disorders: A Study of the Logopenic Variant of Primary Progressive Aphasia
Representation Learning Through Cross-Modal Conditional Teacher-Student Training For Speech Emotion Recognition
RescoreBERT: Discriminative Speech Recognition Rescoring With Bert
Residual Recovery Algorithm for Modulo Sampling
Residual-Guided Personalized Speech Synthesis based on Face Image
Restless Multi-Armed Bandits under Exogenous Global Markov Process
Rethinking Computer-Aided Pelvis Segmentation
Rethinking Two-B-Real Net for Real-Time Salient Object Detection
Retrieval Bias Aware Ensemble Model for Conditional Sentence Generation
Retrieval Enhanced Segment Generation Neural Network for Task-Oriented Dialogue Systems
Retrieving Speaker Information from Personalized Acoustic Models for Speech Recognition
Robust Adaptive Beamforming Based on Power Method Processing and Spatial Spectrum Matching
Robust Adaptive Beamforming Maximizing the Worst-Case SINR Over Distributional Uncertainty Sets for Random INC Matrix And Signal Steering Vector
Robust Adaptive Noise Canceller Algorithm with Snr-Based Stepsize Control and Noise-Path Gain Compensation
Robust Bayesian Reconstruction of Multispectral Single-Photon 3D Lidar Data with Non-Uniform Background
Robust Classification with Flexible Discriminant Analysis in Heterogeneous Data
Robust Collaborative Learning for Sequence Modelling
Robust Disentangled Variational Speech Representation Learning for Zero-Shot Voice Conversion
Robust High-Order Tensor Recovery Via Nonconvex Low-Rank Approximation
Robust Nonparametric Distribution Forecast with Backtest-Based Bootstrap and Adaptive Residual Selection
Robust Parameter Estimation Based on the K-Divergence
Robust Pressure Matching with ATF Perturbation Constraints for Sound Field Control
Robust Self-Supervised Speaker Representation Learning Via Instance Mix Regularization
Robust Signal Processing Over Simplicial Complexes
Robust Speaker Verification Using Population-Based Data Augmentation
Robust Speaker Verification with Joint Self-Supervised and Supervised Learning
Robust Thermal Infrared Pedestrian Detection By Associating Visible Pedestrian Knowledge
Robust Unstructured Knowledge Access in Conversational Dialogue with ASR Errors
Robust Video Hashing Based on Local Fluctuation Preserving for Tracking Deep Fake Videos
Robust and Efficient Uncertainty Aware Biosignal Classification via Early Exit Ensembles
Run-and-Back Stitch Search: Novel Block Synchronous Decoding For Streaming Encoder-Decoder ASR
S-DCCRN: Super Wide Band DCCRN with Learnable Complex Feature for Speech Enhancement
S2 Reducer: High-Performance Sparse Communication to Accelerate Distributed Deep Learning
S3PRL-VC: Open-Source Voice Conversion Framework with Self-Supervised Speech Representations
S3T: Self-Supervised Pre-Training with Swin Transformer For Music Classification
SA-SDR: A Novel Loss Function for Separation of Meeting Style Data
SADN: Learned Light Field Image Compression with Spatial-Angular Decorrelation
SAGA: Self-Augmentation with Guided Attention for Representation Learning
SALSA-Lite: A Fast and Effective Feature for Polyphonic Sound Event Localization and Detection with Microphone Arrays
SDETR: Attention-Guided Salient Object Detection with Transformer
SDNET: Lightweight Facial Expression Recognition For Sample Disequilibrium
SDR - Medium Rare with Fast Computations
SERAB: A Multi-Lingual Benchmark for Speech Emotion Recognition
SIG-VC: A Speaker Information Guided Zero-Shot Voice Conversion System for Both Human Beings and Machines
SLUE: New Benchmark Tasks For Spoken Language Understanding Evaluation on Natural Speech
SODA: Self-Organizing Data Augmentation in Deep Neural Networks Application to Biomedical Image Segmentation Tasks
SP Attack: Single-Perspective Attack for Generating Adversarial Omnidirectional Images
SQAPP: No-Reference Speech Quality Assessment Via Pairwise Preference
SRP-DNN: Learning Direct-Path Phase Difference for Multiple Moving Sound Source Localization
SRU++: Pioneering Fast Recurrence with Attention for Speech Recognition
SYNT++: Utilizing Imperfect Synthetic Data to Improve Speech Recognition
Safari from Visual Signals: Recovering Volumetric 3d Shapes
Safeguarding UAV Networks through Integrated Sensing, Jamming, and Communications
Sain: Similarity-Aware Video Frame Interpolation
Sampling Set Selection for Graph Signals under Arbitrary Signal Priors
Sar-Shipnet: Sar-Ship Detection Neural Network via Bidirectional Coordinate Attention and Multi-Resolution Feature Fusion
Scalable Data Association and Multi-Target Tracking Under a Poisson Mixture Measurement Process
Scalable Neural Architectures for End-to-End Environmental Sound Classification
Scalable Ridge Leverage Score Sampling for the Nyström Method
Scattering Statistics of Generalized Spatial Poisson Point Processes
Score Difficulty Analysis for Piano Performance Education based on Fingering
Screen & Relax: Accelerating The Resolution Of Elastic-Net By Safe Identification of The Solution Support
SecMPNN: 3-Party Privacy-Preserving Molecular Structure Properties Inference
Seed: Sound Event Early Detection Via Evidential Uncertainty
SegNet-Based Deep Representation Learning for Dysphagia Classification
Seismic Fault Identification Using Graph High-Frequency Components as Input to Graph Convolutional Network
Selective Multi-Task Learning For Speech Emotion Recognition Using Corpora Of Different Styles
Selective Mutual Learning: An Efficient Approach for Single Channel Speech Separation
Selective Scale Cascade Attention Network for Breast Cancer Histopathology Image Classification
Self Supervised Representation Learning with Deep Clustering for Acoustic Unit Discovery from Raw Speech
Self-Attention for Incomplete Utterance Rewriting
Self-Critical Sequence Training for Automatic Speech Recognition
Self-Ensemble Variance Regularization for Domain Adaptation
Self-Knowledge Distillation based Self-Supervised Learning for Covid-19 Detection from Chest X-Ray Images
Self-Knowledge Distillation via Feature Enhancement for Speaker Verification
Self-Learned Video Super-Resolution with Augmented Spatial and Temporal Context
Self-Supervised Acoustic Anomaly Detection Via Contrastive Learning
Self-Supervised Contrastive Learning for Cross-Domain Hyperspectral Image Representation
Self-Supervised Learning Method Using Multiple Sampling Strategies for General-Purpose Audio Representation
Self-Supervised Learning for Sentiment Analysis via Image-Text Matching
Self-Supervised Learning on A Lightweight Low-Light Image Enhancement Model with Curve Refinement
Self-Supervised Representation Learning for Unsupervised Anomalous Sound Detection Under Domain Shift
Self-Supervised Speaker Recognition Training using Human-Machine Dialogues
Self-Supervised Speaker Recognition with Loss-Gated Learning
Self-Supervised Speaker Verification with Simple Siamese Network and Self-Supervised Regularization
Semantic Association Network for Video Corpus Moment Retrieval
Semantically Proportional Patchmix for Few-Shot Learning
Semi-Supervised 360° Depth Estimation from Multiple Fisheye Cameras with Pixel-Level Selective Loss
Semi-Supervised Gaussian Mixture Variational Autoencoder for Pulse Shape Discrimination
Semi-Supervised Source Localization With Residual Physical Learning
Semi-Supervised Standardized Detection of Periodic Signals with Application to Exoplanet Detection
Semidefinite Relaxation Method for Moving Object Localization Using a Stationary Transmitter at Unknown Position
Sensing-Assisted Beam Tracking in V2I Networks: Extended Target Case
Sensors to Sign Language: A Natural Approach to Equitable Communication
Sentiment-Aware Automatic Speech Recognition Pre-Training for Enhanced Speech Emotion Recognition
Sentiment-Aware Distillation for Bitcoin Trend Forecasting Under Partial Observability
Sequence Transduction with Graph-Based Supervision
Sequential MCMC Methods for Audio Signal Enhancement
Shared Transformer Encoder with Mask-Based 3d Model Estimation for Container Mass Estimation
Short-and-Sparse Deconvolution Via Rank-One Constrained Optimization (Roco)
Signal Compression via Neural Implicit Representations
Signal Processing On Cell Complexes
Signal Recovery from Inconsistent Nonlinear Observations
Simple Attention Module Based Speaker Verification with Iterative Noisy Label Detection
Simpler is Better: Spectral Regularization and Up-Sampling Techniques for Variational Autoencoders
Simplicial Convolutional Neural Networks
Simulation-and-Mining: Towards Accurate Source-Free Unsupervised Domain Adaptive Object Detection
Simultaneous Nonlocal Low-Rank And Deep Priors For Poisson Denoising
Single Image De-Raining with High-Low Frequency Guidance
Single-Shot Balanced Detector for Geospatial Object Detection
Sketch Storytelling
Sketched RT3D: How to Reconstruct Billions of Photons Per Second
Skim: Skipping Memory Lstm for Low-Latency Real-Time Continuous Speech Separation
SleepGAN: Towards Personalized Sleep Therapy Music
Slim: Explicit Slot-Intent Mapping with Bert for Joint Multi-Intent Detection and Slot Filling
Social Welfare Maximization in Cross-Silo Federated Learning
Solving The Long-Tailed Problem Via Intra- And Inter-Category Balance
Sound Event Detection Guided by Semantic Contexts of Scenes
Source Separation By Steering Pretrained Music Models
Spain-Net: Spatially-Informed Stereophonic Music Source Separation
Sparse Adversarial Attack For Video Via Gradient-Based Keyframe Selection
Sparse Array Source Enumeration Via Coarray Subspace Optimization
Sparse Modeling of The Early Part of Noisy Room Impulse Responses with Sparse Bayesian Learning
Sparse Multi-Reference Alignment: Sample Complexity and Computational Hardness
Sparse Recovery of Acoustic Waves
Sparse Self-Attention for Semi-Supervised Sound Event Detection
Sparse Subspace Tracking in High Dimensions
Sparse-Group Log-Sum Penalized Graphical Model Learning For Time Series
SparseBFA: Attacking Sparse Deep Neural Networks with the Worst-Case Bit Flips on Coordinates
Sparsity Improves Unsupervised Attribute Discovery in Stylegan
Sparsity-Based Sound Field Separation in the Spherical Harmonics Domain
Spatial Active Noise Control Based on Individual Kernel Interpolation of Primary and Secondary Sound Fields
Spatial Active Noise Control with the Remote Microphone Technique: an Approach with a Moving Higher Order Microphone
Spatial Data Augmentation with Simulated Room Impulse Responses for Sound Event Localization and Detection
Spatial Mixup: Directional Loudness Modification as Data Augmentation for Sound Event Localization and Detection
Spatial Processing Front-End for Distant ASR Exploiting Self-Attention Channel Combinator
Spatial-Context-Aware Deep Neural Network for Multi-Class Image Classification
Spatial-Temporal Graph Convolution Network for Multichannel Speech Enhancement
Spatio-Temporal Attention Graph Convolution Network for Functional Connectome Classification
Spatio-Temporal Graph Complementary Scattering Networks
Spatio-Temporal Graph Convolutional Networks for Continuous Sign Language Recognition
Spatio-Temporal Motion Aggregation Network for Video Action Detection
Spatio-Temporal PRRS Epidemic Forecasting via Factorized Deep Generative Modeling
Speaker Embedding Conversion for Backward and Cross-Channel Compatibility
Speaker Generation
Speaker Identity Preservation in Dysarthric Speech Reconstruction by Adversarial Speaker Adaptation
Speaker Normalization for Self-Supervised Speech Emotion Recognition
Speaker Reinforcement Using Target Source Extraction for Robust Automatic Speech Recognition
Speaker-Targeted Audio-Visual Speech Recognition Using a Hybrid CTC/Attention Model with Interference Loss
Specialised Video Quality Model For Enhanced User Generated Content (UGC) With Special Effects
Spectral Permutation Test on Persistence Diagrams
Spectral-Spatial Symmetrical Aggregation Cross-Linking Multi-Modal Data Fusion Network
Speech Denoising in the Waveform Domain With Self-Attention
Speech Emotion Recognition Using Self-Supervised Features
Speech Emotion Recognition with Co-Attention Based Multi-Level Acoustic Information
Speech Emotion Recognition with Global-Aware Fusion on Multi-Scale Feature Representation
Speech Enhancement for Low Bit Rate Speech Codec
Speech Enhancement with Neural Homomorphic Synthesis
Speech Pattern Based Black-Box Model Watermarking for Automatic Speech Recognition
Speech Recognition Using Biologically-Inspired Neural Networks
Speech Recovery For Real-World Self-Powered Intermittent Devices
Speech Tasks Relevant to Sleepiness Determined With Deep Transfer Learning
SpeechSplit2.0: Unsupervised Speech Disentanglement for Voice Conversion without Tuning Autoencoder Bottlenecks
Speechmoe2: Mixture-of-Experts Model with Improved Routing
Spell My Name: Keyword Boosted Speech Recognition
Spherical Convolutional Recurrent Neural Network for Real-Time Sound Source Tracking
Spoken Language Recognition with Cluster-Based Modeling
Stability Analysis of Unfolded WMMSE for Power Allocation
Stability of Neural Networks on Manifolds to Relative Perturbations
Stable and Transferable Wireless Resource Allocation Policies Via Manifold Neural Networks
Stacked Multi-Scale Attention Network for Image Colorization
Statistical Pyramid Dense Time Delay Neural Network for Speaker Verification
Statistical, Spectral and Graph Representations for Video-Based Facial Expression Recognition in Children
Stealthy Backdoor Attack with Adversarial Training
Stgat-Mad : Spatial-Temporal Graph Attention Network For Multivariate Time Series Anomaly Detection
Stpointgcn: Spatial Temporal Graph Convolutional Network for Multiple People Recognition Using Millimeter-Wave Radar
Streaming Transformer Transducer based Speech Recognition Using Non-Causal Convolution
Streaming on-Device Detection of Device Directed Speech from Voice and Touch-Based Invocation
Structural Prior Models for 3-D Deep Vessel Segmentation
Study of Positional Encoding Approaches for Audio Spectrogram Transformers
Study of the Null Directions on The Performance of Differential Beamformers
Study on Time-of-Flight Estimation in Ultrasonic Well Logging Tool: Model-Driven Transfer Learning
Studying Three Families of Divergences to Compare Wide-Sense Stationary Gaussian Arma Processes
Stylegan-Induced Data-Driven Regularization for Inverse Problems
Subgraph Representation Learning with Hard Negative Samples for Inductive Link Prediction
Subjective And Objective Quality Assessment Of Mobile Gaming Video
Subspace Clustering Using Unsupervised Data Augmentation
Summary on the ICASSP 2022 Multi-Channel Multi-Party Meeting Transcription Grand Challenge
Super-Resolution of Satellite Images by two-Dimensional RRDB and Edge-Enhancement Generative Adversarial Network
Superresolution and Segmentation of OCT Scans Using Multi-Stage Adversarial Guided Attention Training
Supervised Attention in Sequence-to-Sequence Models for Speech Recognition
Supervised Learning Based Sparse Channel Estimation For RIS Aided Communications
Supervised Training of Siamese Spiking Neural Networks with Earth Mover's Distance
Supervised and Self-Supervised Pretraining Based Covid-19 Detection Using Acoustic Breathing/Cough/Speech Signals
Symbol-Level Online Channel Tracking for Deep Receivers
Synergistic Network Learning and Label Correction for Noise-Robust Image Classification
Synpose: A Large-Scale and Densely Annotated Synthetic Dataset for Human Pose Estimation in Classroom
Syntax-Based Graph Matching for Knowledge Base Question Answering
Synthesis of Adversarial Samples in Two-Stage Classifiers
Synthesizing Dysarthric Speech Using Multi-Speaker Tts For Dysarthric Speech Recognition
T-NGA: Temporal Network Grafting Algorithm for Learning to Process Spiking Audio Sensor Events
T-SVD Based Broadband Non-Synchronous Measurements
TCRNet: Make Transformer, CNN and RNN Complement Each Other
TEA-PSE: Tencent-Ethereal-Audio-Lab Personalized Speech Enhancement System for ICASSP 2022 DNS Challenge
TED Talk Teaser Generation with Pre-Trained Models
TFPSNet: Time-Frequency Domain Path Scanning Network for Speech Separation
TH-Net: A Method Of Single 3d Object Tracking Based On Transformers And Hausdorff Distance
TINYS2I: A Small-Footprint Utterance Classification Model with Contextual Support for On-Device SLU
TNTC: Two-Stream Network with Transformer-Based Complementarity for Gait-Based Emotion Recognition
TP-VIT: A Two-Pathway Vision Transformer for Video Action Recognition
TPARN: Triple-Path Attentive Recurrent Network for Time-Domain Multichannel Speech Enhancement
Tackling Data Scarcity in Speech Translation Using Zero-Shot Multilingual Machine Translation Techniques
Tackling the Score Shift in Cross-Lingual Speaker Verification by Exploiting Language Information
TalkingFlow: Talking Facial Landmark Generation with Multi-Scale Normalizing Flow Network
Target-Aware Auto-Augmentation for Unsupervised Domain Adaptive Object Detection
TargetDrop: A Targeted Regularization Method for Convolutional Neural Networks
Teaching CNNs to Mimic Human Visual Cognitive Process & Regularise Texture-Shape Bias
Tempo: Improving Training Performance in Cross-Silo Federated Learning
Temporal Contrastive-Loss for Audio Event Detection
Temporal Cross-Graph Network for Brain Functional Activity Prediction
Temporal Dynamic Convolutional Neural Network for Text-Independent Speaker Verification and Phonemic Analysis
Temporal Early Exiting for Streaming Speech Commands Recognition
Temporal Knowledge Distillation for on-device Audio Classification
Tensor-Based Orthogonal Matching Pursuit with Phase Rotation for Channel Estimation In Hybrid Beamforming Mimo-Ofdm Systems
Terahertz Image Restoration Benchmarking Dataset
Test-Time Detection of Backdoor Triggers for Poisoned Deep Neural Networks
Text Adaptive Detection for Customizable Keyword Spotting
Text-Free Non-Parallel Many-To-Many Voice Conversion Using Normalising Flow
Text-Image De-Contextualization Detection Using Vision-Language Models
Text2Poster: Laying Out Stylized Texts on Retrieved Images
Text2video: Text-Driven Talking-Head Video Synthesis with Personalized Phoneme - Pose Dictionary
Texture Information Boosts Video Quality Assessment
The CUHK-Tencent Speaker Diarization System for the ICASSP 2022 Multi-Channel Multi-Party Meeting Transcription Challenge
The Cocktail Fork Problem: Three-Stem Audio Separation for Real-World Soundtracks
The Coral++ Algorithm for Unsupervised Domain Adaptation of Speaker Recognition
The DKU Audio-Visual Wake Word Spotting System for the 2021 MISP Challenge
The Data/Identity Tradeoff with Censored Sensors
The Dawn of Quantum Natural Language Processing
The First Multimodal Information Based Speech Processing (Misp) Challenge: Data, Tasks, Baselines And Results
The Impact of JPEG Compression on Prior Image Noise
The Impact of Removing Head Movements on Audio-Visual Speech Enhancement
The Mirrornet : Learning Audio Synthesizer Controls Inspired by Sensorimotor Interaction
The PCG-AIID System for L3DAS22 Challenge: MIMO and MISO Convolutional Recurrent Network for Multi Channel Speech Enhancement and Speech Recognition
The Prototype Co-Prime Array with a Robust Difference Co-Array
The Representation Jensen-Rényi Divergence
The Royalflush System of Speech Recognition for M2met Challenge
The Second Dicova Challenge: Dataset and Performance Analysis for Diagnosis of Covid-19 Using Acoustics
The Sjtu System For Multimodal Information Based Speech Processing Challenge 2021
The USTC-Ximalaya System for the ICASSP 2022 Multi-Channel Multi-Party Meeting Transcription (M2met) Challenge
The Vicomtech Audio Deepfake Detection System Based on Wav2vec2 for the 2022 ADD Challenge
The Volcspeech System for the ICASSP 2022 Multi-Channel Multi-Party Meeting Transcription Challenge
The impact of cross language on acoustic-to-articulatory inversion and its influence on articulatory speech synthesis
Thin Slices of Depression: Improving Depression Detection Performance Through Data Segmentation
Threshold Independent Evaluation of Sound Event Detection Scores
Tie Your Embeddings Down: Cross-Modal Latent Spaces for End-to-end Spoken Language Understanding
Tight Integration Of Neural- And Clustering-Based Diarization Through Deep Unfolding Of Infinite Gaussian Mixture Model
Time Domain Adversarial Voice Conversion for ADD 2022
Time Domain Radial Filter Design for Spherical Waves
Time-Balanced Focal Loss for Audio Event Detection
Time-Domain Acoustic Contrast Control with A Spatial Uniformity Constraint for Personal Audio Systems
Time-Domain Audio-Visual Speech Separation on Low Quality Videos
Time-Frequency Attention for Monaural Speech Enhancement
Time-Frequency and Geometric Analysis of Task-Dependent Learning in Raw Waveform Based Acoustic Models
TitaNet: Neural Model for Speaker Representation with 1D Depth-Wise Separable Convolutions and Global Context
To Catch A Chorus, Verse, Intro, or Anything Else: Analyzing a Song with Structural Functions
Tonet: Tone-Octave Network for Singing Melody Extraction from Polyphonic Music
Topological Correlation of Brain Signals
Torchaudio: Building Blocks for Audio and Speech Processing
Toward Degradation-Robust Voice Conversion
Toward mmWave-Based Sound Enhancement and Separation
Towards A Common Speech Analysis Engine
Towards Accurate Cross-Domain in-Bed Human Pose Estimation
Towards Automatic Transcription of Polyphonic Electric Guitar Music: A New Dataset and a Multi-Loss Transformer Model
Towards Better Meta-Initialization with Task Augmentation for Kindergarten-Aged Speech Recognition
Towards Closed-Loop Speech Synthesis from Stereotactic EEG: A Unit Selection Approach
Towards Controllable and Physical Interpretable Underwater Scene Simulation
Towards End-to-End Integration of Dialog History for Improved Spoken Language Understanding
Towards Expressive Speaking Style Modelling with Hierarchical Context Information for Mandarin Speech Synthesis
Towards Fast And Convenient End-To-End HRTF Personalization
Towards Faster Continuous Multi-Channel HRTF Measurements Based On Learning System Models
Towards Identity Preserving Normal to Dysarthric Voice Conversion
Towards Interpretability of Speech Pause in Dementia Detection Using Adversarial Learning
Towards Interpreting Deep Learning Models to Understand Loss of Speech Intelligibility in Speech Disorders Step 2: Contribution of the Emergence of Phonetic Traits
Towards Joint Frame-Level and MOS Quality Predictions with Low-Complexity Objective Models
Towards Learning Universal Audio Representations
Towards Lifelong Learning of Multilingual Text-to-Speech Synthesis
Towards Lightweight Applications: Asymmetric Enroll-Verify Structure for Speaker Verification
Towards Low-Distortion Multi-Channel Speech Enhancement: The ESPNET-Se Submission to the L3DAS22 Challenge
Towards Measuring Fairness in Speech Recognition: Casual Conversations Dataset Transcriptions
Towards Practical and Efficient Long Video Summary
Towards Reducing the Need for Speech Training Data to Build Spoken Language Understanding Systems
Towards Robust Speech-to-Text Adversarial Attack
Towards Robust Visual Transformer Networks via K-Sparse Attention
Towards Speaker Age Estimation With Label Distribution Learning
Towards Transferable Speech Emotion Representation: On Loss Functions for Cross-Lingual Latent Representations
Towards Using Clothes Style Transfer for Scenario-Aware Person Video Generation
Towards end-to-end Speaker Diarization with Generalized Neural Speaker Clustering
Tracking the Dimensions of Latent Spaces of Gaussian Process Latent Variable Models
Training Privacy-Preserving Video Analytics Pipelines by Suppressing Features That Reveal Information About Private Attributes
Training Robust Zero-Shot Voice Conversion Models with Self-Supervised Features
Training Stable Graph Neural Networks Through Constrained Learning
Training Strategies for Automatic Song Writing: A Unified Framework Perspective
Training Strategies for Improved Lip-Reading
Transcribe-to-Diarize: Neural Speaker Diarization for Unlimited Number of Speakers Using End-to-End Speaker-Attributed ASR
Transducer-Based Streaming Deliberation for Cascaded Encoders
Transductive Clip with Class-Conditional Contrastive Learning
Transformer-Based Domain Adaptation for Event Data Classification
Transformer-Based Estimation of Spoken Sentences Using Electrocorticography
Transformer-Based Multi-Aspect Multi-Granularity Non-Native English Speaker Pronunciation Assessment
Transformer-Based Person Search Model with Symmetric Online Instance Matching
Transformer-Based Streaming ASR with Cumulative Attention
Transformer-S2A: Robust and Efficient Speech-to-Animation
Transient Analysis of Clustered Multitask Diffusion RLS Algorithm
Transient Detection with Unknown Statistics Via Source Coding
Transmit Beamforming with Fixed Covariance for Integrated MIMO Radar and Multiuser Communications
Transtl: Spatial-Temporal Localization Transformer for Multi-Label Video Classification
TriBYOL: Triplet BYOL for Self-Supervised Representation Learning
Tts4pretrain 2.0: Advancing the use of Text and Speech in ASR Pretraining with Consistency and Contrastive Losses
Tunet: A Block-Online Bandwidth Extension Model Based On Transformers And Self-Supervised Pretraining
Turn-to-Diarize: Online Speaker Diarization Constrained by Transformer Transducer Speaker Turn Detection
Two Strategies Toward Lightweight Image Super-Resolution
Two-Path GMM-ResNet and GMM-SENet for ASV Spoofing Detection
Two-Snapshot DOA Estimation Via Hankel-Structured Matrix Completion
Type-Aware Medical Visual Question Answering
U-GAT-VC: Unsupervised Generative Attentional Networks for Non-Parallel Voice Conversion
UNET-TTS: Improving Unseen Speaker and Style Transfer in One-Shot Voice Cloning
Ubilung: Multi-Modal Passive-Based Lung Health Assessment
Ubiquitous Physiological Prediction of SUD Patients' Wellness State Using Memory-Based Convolutional Models
Uformer: A Unet Based Dilated Complex & Real Dual-Path Conformer Network for Simultaneous Speech Enhancement and Dereverberation
Uncertainty Estimation with a VAE-Classifier Hybrid Model
Uncertainty in Data-Driven Kalman Filtering for Partially Known State-Space Models
Underdetermined Two-Dimensional Localization for Wideband Sources Based on Distributed Sensor Array Networks
Underwater Image Enhancement Via Learning Water Type Desensitized Representations
Underwater Small Target Detection Based on Deformable Convolutional Pyramid
Underwater Stereo Matching Via Unsupervised Appearance And Feature Adaptation Networks
Unfolding Model-Based Beamforming for High Quality Ultrasound Imaging
Unified Matrix Coding for NN Originated MIP in H.266/VVC
Unified Multimodal Punctuation Restoration Framework for Mixed-Modality Corpus
Unified Speculation, Detection, and Verification Keyword Spotting
Unimodular Waveform Design with Low Correlation Levels: A Fast Algorithm Development to Support Large-Scale Code Lengths
Unispeech-Sat: Universal Speech Representation Learning With Speaker Aware Pre-Training
Universal Efficient Variable-Rate Neural Image Compression
Universal Paralinguistic Speech Representations Using self-Supervised Conformers
Unlimited Sampling with Local Averages
Unlimited Sampling with Sparse Outliers: Experiments with Impulsive and Jump or Reset Noise
Unrolling Particles: Unsupervised Learning of Sampling Distributions
Unsupervised Anomaly Detection for Container Cloud Via BILSTM-Based Variational Auto-Encoder
Unsupervised Audio-Caption Aligning Learns Correspondences Between Individual Sound Events and Textual Phrases
Unsupervised Clustering and Analysis of Contraction-Dependent Fetal Heart Rate Segments
Unsupervised Contrastive Hashing for Cross-Modal Retrieval in Remote Sensing
Unsupervised Data Selection for Speech Recognition with Contrastive Loss Ratios
Unsupervised Deep Learning Network for Deformable Fundus Image Registration
Unsupervised Hierarchical Translation-Based Model for Multi-Modal Medical Image Registration
Unsupervised Model Adaptation for End-to-End ASR
Unsupervised Speech Enhancement with Speech Recognition Embedding and Disentanglement Losses
Unsupervised Word-Level Prosody Tagging for Controllable Speech Synthesis
Unsupervised and Untrained Underwater Image Restoration Based on Physical Image Formation Model
Upmixing Via Style Transfer: A Variational Autoencoder for Disentangling Spatial Images And Musical Content
Urban Sound & Sight: Dataset And Benchmark For Audio-Visual Urban Scene Understanding
User Scheduling Using Graph Neural Networks for Reconfigurable Intelligent Surface Assisted Multiuser Downlink Communications
Using Acoustic Deep Neural Network Embeddings to Detect Multiple Sclerosis From Speech
Using Multiple Reference Audios and Style Embedding Constraints for Speech Synthesis
Using Spectral Sequence-to-Sequence Autoencoders to Assess Mild Cognitive Impairment
Using a Single Input to Forecast Human Action Keystates in Everyday Pick and Place Actions
Usted: Improving ASR with a Unified Speech and Text Encoder-Decoder
VADOI: Voice-Activity-Detection Overlapping Inference for End-To-End Long-Form Speech Recognition
VCD: View-Constraint Disentanglement for Action Recognition
VCVTS: Multi-Speaker Video-to-Speech Synthesis Via Cross-Modal Knowledge Transfer from Voice Conversion
VISinger: Variational Inference with Adversarial Learning for End-to-End Singing Voice Synthesis
VQA-BC: Robust Visual Question Answering Via Bidirectional Chaining
VR-FAM: Variance-Reduced Encoder with Nonlinear Transformation for Facial Attribute Manipulation
VSEGAN: Visual Speech Enhancement Generative Adversarial Network
VU-BERT: A Unified Framework for Visual Dialog
VarArray: Array-Geometry-Agnostic Continuous Speech Separation
Variable Span Trade-Off Filter for Sound Zone Control with Kernel Interpolation Weighting
Variance Reduction-Boosted Byzantine Robustness in Decentralized Stochastic Optimization
Varianceflow: High-Quality and Controllable Text-to-Speech using Variance Information via Normalizing Flow
Variational Bayesian Framework for Advanced Image Generation with Domain-Related Variables
Variational Bayesian Graph Convolutional Network for Robust Collaborative Filtering
Variational Bayesian Tensor Networks with Structured Posteriors
Video Anomaly Detection via Prediction Network with Enhanced Spatio-Temporal Memory Exchange
Video Frame Interpolation via Local Lightweight Bidirectional Encoding with Channel Attention Cascade
Violinist Identification Using Note-Level Timbre Feature Distributions
Vision Transformer Equipped With Neural Resizer On Facial Expression Recognition Task
Vision Transformer-Based Retina Vessel Segmentation with Deep Adaptive Gamma Correction
Visual Representation Learning with Self-Supervised Attention for Low-Label High-Data Regime
Visualtts: TTS with Accurate Lip-Speech Synchronization for Automatic Voice Over
Vocalsound: A Dataset for Improving Human Vocal Sounds Recognition
Vocbench: A Neural Vocoder Benchmark for Speech Synthesis
Voice Filter: Few-Shot Text-to-Speech Speaker Adaptation Using Voice Conversion as a Post-Processing Module
W-ART: Action Relation Transformer for Weakly-Supervised Temporal Action Localization
WENETSPEECH: A 10000+ Hours Multi-Domain Mandarin Corpus for Speech Recognition
WLS Design of Arma Graph Filters Using Iterative Second-Order Cone Programming
Wasserstein Cross-Lingual Alignment For Named Entity Recognition
Wassertrain: An Adversarial Training Framework Against Wasserstein Adversarial Attacks
Watermarking Images in Self-Supervised Latent Spaces
Wav2CLIP: Learning Robust Audio Representations from Clip
Wav2vec-Switch: Contrastive Learning from Original-Noisy Speech Pairs for Robust Speech Recognition
Wave-Domain Approach for Cancelling Noise Entering Open Windows
Wavebender GAN: An Architecture for Phonetically Meaningful Speech Manipulation
Waveform Optimization for Wireless Power Transfer with Power Amplifier and Energy Harvester Non-linearities
Wavelet-Based Unsupervised Label-to-Image Translation
Weak Target Detection in Massive MIMO Radar via an Improved Reinforcement Learning Approach
Weakly Supervised Point Cloud Upsampling VIA Optimal Transport
Wearable Seld Dataset: Dataset For Sound Event Localization And Detection Using Wearable Devices Around Head
Weighted Graph Embedded Low-Rank Projection Learning for Feature Extraction
Weighted Wavelet-Based Spectral-Spatial Transforms For CFA-Sampled Raw Camera Image Compression Considering Image Features
What Is The Patient Looking At? Robust Gaze-Scene Intersection Under Free-Viewing Conditions
When BERT Meets Quantum Temporal Convolution Learning for Text Classification in Heterogeneous Computing
When Does Backdoor Attack Succeed in Image Reconstruction? A Study of Heuristics vs. Bi-Level Solution
Wide-Sense Stationarity and Spectral Estimation for Generalized Graph Signal
Wikitag: Wikipedia-Based Knowledge Embeddings Towards Improved Acoustic Event Classification
Win The Lottery Ticket Via Fourier Analysis: Frequencies Guided Network Pruning
Wishart Localization Prior On Spatial Covariance Matrix In Ambisonic Source Separation Using Non-Negative Tensor Factorization
Wlinker: Modeling Relational Triplet Extraction As Word Linking
Word Order does not Matter for Speech Recognition
WordMarkov: A New Password Probability Model of Semantics
Zero-Shot Cross-Lingual Transfer Using Multi-Stream Encoder and Efficient Speaker Representation
Zeroth-Order Randomized Subspace Newton Methods
nnSpeech: Speaker-Guided Conditional Variational Autoencoder for Zero-Shot Multi-speaker text-to-speech
r-G2P: Evaluating and Enhancing Robustness of Grapheme to Phoneme Conversion by Controlled Noise Introducing and Contextual Information Incorporation
r-Local Unlabeled Sensing: Improved Algorithm and Applications

ICASSP accepted papers in other years

ICASSP 2026 (1,432)ICASSP 2025 (3,298)ICASSP 2024 (2,679)ICASSP 2023 (2,718)ICASSP 2021 (1,712)ICASSP 2020 (1,849)ICASSP 2019 (1,730)ICASSP 2018 (1,393)ICASSP 2017 (1,320)ICASSP 2016 (1,322)ICASSP 2015 (1,198)

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