ICASSP 2018 Accepted Papers
The full list of 1,393 papers accepted at ICASSP 2018 (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.
- Phasesplit: A Variable Splitting Framework for Phase Retrieval
- Phoneme Based Embedded Segmental K-Means for Unsupervised Term Discovery
- Phonetic and Graphemic Systems for Multi-Genre Broadcast Transcription
- Pilot Design for Gaussian Mixture Channel Estimation in Massive MIMO
- Policy Adaptation for Deep Reinforcement Learning-Based Dialogue Management
- Polyphonic Music Sequence Transduction with Meter-Constrained LSTM Networks
- Potential-Field-Based Active Exploration for Acoustic Simultaneous Localization and Mapping
- Practical Considerations of a BMI Application for Detecting Acute Pain Signals
- Precise Regression for Bounding Box Correction for Improved Tracking Based on Deep Reinforcement Learning
- Precoding Matrix Design in Linear Video Coding
- Predicting Tongue Motion in Unlabeled Ultrasound Video Using 3D Convolutional Neural Networks
- Prediction of LSTM-RNN Full Context States as a Subtask for N-Gram Feedforward Language Models
- Prediction of Negative Symptoms of Schizophrenia from Emotion Related Low-Level Speech Signals
- Prediction of Satisfied User Ratio for Compressed Video
- Prima: Probabilistic Ranking with Inter-Item Competition and Multi-Attribute Utility Function
- Primary-Ambient Source Separation for Upmixing to Surround Sound Systems
- Privacy Preserving and Collusion Resistant Energy Sharing
- Privacy-Aware Kalman Filtering
- Privacy-Preserving Outsourced Media Search Using Secure Sparse Ternary Codes
- Probability Reweighting in Social Learning: Optimality and Suboptimality
- Project Handover in Undergraduate Projects - Efficient Handover for Increased Learning Opportunities
- Projecting on to the Multi-Layer Convolutional Sparse Coding Model
- Pseudo-Supervised Approach for Text Clustering Based on Consensus Analysis
- Pulmonary Textures Classification Using A Deep Neural Network with Appearance and Geometry Cues
- Pulse-Stream Models in Time-of-Flight Imaging
- Pykaldi: A Python Wrapper for Kaldi
- Pyroomacoustics: A Python Package for Audio Room Simulation and Array Processing Algorithms
- QOI: Assessing Participation in Threat Information Sharing
- Quality Enhancement for Intra Frame Coding Via Cnns: An Adversarial Approach
- Quantification of Longitudinal Changes in Retinal Vasculature from Wide-Field Fluorescein Angiography via a Novel Registration and Change Detection Approach
- Quantisation Effects in Distributed Optimisation
- Quaternion Adaptive Line Enhancer based on Singular Spectrum Analysis
- Query Expansion with Diffusion On Mutual Rank Graphs
- Query-by-Example Spoken Term Detection Using Attention-Based Multi-Hop Networks
- Quickest Change Detection Under a Nuisance Change
- Quickest Change-Point Detection Over Multiple Data Streams via Sequential Observations
- Quickest Detection of Dynamic Events in Sensor Networks
- RADMM: Recurrent Adaptive Mixture Model with Applications to Domain Robust Language Modeling
- RED-UCATION: A Novel CNN Architecture Based on Denoising Nonlinearities
- ROOM REFLECTORS ESTIMATION FROM SOUND BY GREEDY ITERATIVE APPROACH
- Radar Autofocus Using Sparse Blind Deconvolution
- Radar Data Cube Analysis for Fall Detection
- Radio Transient Detection in Radio Astronomical Arrays
- Random Matrix Asymptotics of Inner Product Kernel Spectral Clustering
- Random Walks with Restarts for Graph-Based Classification: Teleportation Tuning and Sampling Design
- Ranking Using Transition Probabilities Learned from Multi-Attribute Data
- Rate Control for Hevc Intra-Coding Based on Piecewise Linear Approximations
- Rate-Distortion Optimized Illumination Estimation for Wavelet-Based Video Coding
- Rate-Optimal Meta Learning of Classification Error
- Rcdfnn: Robust Change Detection Based on Convolutional Fusion Neural Network
- Real- Time Pedestrian Detection in Crowded Scenes Using Deep Omega-Shape Features
- Real-Time Indoor Event Monitoring Using CSI Time Series
- Real-Time Total Focusing Method Imaging for Ultrasonic Inspection of Three-Dimensional Multilayered Media
- Real-Time Total Focusing Method for Ultrasonic Imaging of Multilayered Object
- Realizing Directional Sound Source in FDTD Method by Estimating Initial Value
- Recall Neural Network for Source Separation
- Recognition of Faces and Facial Attributes Using Accumulative Local Sparse Representations
- Recognizing Minimal Facial Sketch by Generating Photorealistic Faces With the Guidance of Descriptive Attributes
- Recognizing Zero-Resourced Languages Based on Mismatched Machine Transcriptions
- Recovering Signals from their FROG Trace
- Recovery of Noisy Points on Bandlimited Surfaces: Kernel Methods Re-Explained
- Recurrent Neural Networks for Automatic Replay Spoofing Attack Detection
- Recurrent Neural Networks for Cochannel Speech Separation in Reverberant Environments
- Recursive Distortion Estimation for Hybrid Digital-Analog Video Transmission
- Recursive Evaluation of Sure for Total Variation Denoising
- Reduced Dimension Minimum BER PSK Precoding for Constrained Transmit Signals in Massive MIMO
- Reduced-Complexity Trellis Min-Max Decoder for Non-Binary Ldpc Codes
- Reducing Model Complexity for DNN Based Large-Scale Audio Classification
- Reference Signal Generation for Broadband ANC Systems in Reverberant Rooms
- Reg-Gan: Semi-Supervised Learning Based on Generative Adversarial Networks for Regression
- Regressing Kernel Dictionary Learning
- Regularized Svd-Based Video Frame Saliency for Unsupervised Activity Video Summarization
- Reinforcement Learning for 5G Caching with Dynamic Cost
- Reinforcement Learning of Speech Recognition System Based on Policy Gradient and Hypothesis Selection
- Remote Photoplethysmography Using Nonlinear Mode Decomposition
- Removing Ring Artifacts in Cbct Images Via Generative Adversarial Network
- Rescoring N-Best Speech Recognition List Based on One-on-One Hypothesis Comparison Using Encoder-Classifier Model
- Residual Learning for Face Sketch Synthesis
- Resource Efficient Deep Eigenvector Beamforming
- Resource Efficient Hardware Implementation for Real-Time Traffic Sign Recognition
- Restoration of Ultrasound Images Using Spatially-Variant Kernel Deconvolution
- Retrieval of Song Lyrics from Sung Queries
- Reversible Data Hiding in Encrypted Images Based on Reserving Room After Encryption and Multiple Predictors
- Rfcm for Data Association and Multitarget Tracking Using 3D Radar
- Robust Audiovisual Liveness Detection for Biometric Authentication Using Deep Joint Embedding and Dynamic Time Warping
- Robust Beat-To-Beat Detection Algorithm for Pulse Rate Variability Analysis from Wrist Photoplethysmography Signals
- Robust Calibration of Radio Interferometers in Multi-Frequency Scenario
- Robust Decentralized Dynamic Optimization
- Robust Denoising of Piece-Wise Smooth Manifolds
- Robust Detection of Epileptic Seizures Using Deep Neural Networks
- Robust Detection of Glottal Activity Using Unwrapped Phase Electroglottographic Signal
- Robust Detection of Jittered Multiply Repeating Audio Events Using Iterated Time-Warped ACF
- Robust Diffusion Recursive Least Squares Estimation with Side Information for Networked Agents
- Robust Distributed Gradient Descent with Arbitrary Number of Byzantine Attackers
- Robust Estimation in Linear ILL-Posed Problems with Adaptive Regularization Scheme
- Robust Feature Clustering for Unsupervised Speech Activity Detection
- Robust Full-Sphere Binaural Sound Source Localization
- Robust Haze Removal Via Joint Deep Transmission and Scene Propagation
- Robust Mask Estimation By Integrating Neural Network-Based and Clustering-Based Approaches for Adaptive Acoustic Beamforming
- Robust Object-Aware Sample Consensus with Application to Lidar Odometry
- Robust PCA via Dictionary Based Outlier Pursuit
- Robust Principal Component Analysis with Matrix Factorization
- Robust Recognition of Speech with Background Music in Acoustically Under-Resourced Scenarios
- Robust Sequence-Based Localization in Acoustic Sensor Networks
- Robust Sequential Testing of Multiple Hypotheses in Distributed Sensor Networks
- Robust Speech Recognition Using Generative Adversarial Networks
- Robust Spoken Language Understanding with Unsupervised ASR-Error Adaptation
- Robust Visual Tracking Via Adaptive Structure-Enhanced Particle Filter
- Robust Widely Widely Beamforming via the Technique of Shrinkage for Steering Vector Estimation
- Robust and Effective Hyperspectral Pansharpening Using Spatio-Spectral Total Variation
- Robustness of Coarrays of Sparse Arrays to Sensor Failures
- Robustness of Deep Convolutional Neural Networks for Image Degradations
- Role of Prosodic Features on Children's Speech Recognition
- Roof Type Classification Using Deep Convolutional Neural Networks on Low Resolution Photogrammetric Point Clouds From Aerial Imagery
- Room Identification Using Frequency Dependence of Spectral Decay Statistics
- Rumor Source Detection: A Probabilistic Perspective
- SVSGAN: Singing Voice Separation Via Generative Adversarial Network
- Saliency Detection via Multi-Center Convex Hull Prior
- Saliency-Based Feature Selection Strategy in Stereoscopic Panoramic Video Generation
- Sample-Level CNN Architectures for Music Auto-Tagging Using Raw Waveforms
- Sampled Connectionist Temporal Classification
- Samplernn-Based Neural Vocoder for Statistical Parametric Speech Synthesis
- Sampling and Reconstruction of Graph Signals via Weak Submodularity and Semidefinite Relaxation
- Says Who? Deep Learning Models for Joint Speech Recognition, Segmentation and Diarization
- Scalable Energy Disaggregation Via Successive Submodular Approximation
- Scalable Hierarchical Mixture of Gaussian Processes for Pattern Classification
- Scalable Network Parameter Estimation in the Presence of Anomalies
- Scalable Sentiment for Sequence-to-Sequence Chatbot Response with Performance Analysis
- Scene Image Classification Using Reduced Virtual Feature Representation in Sparse Framework
- Scheduling of Multistatic Sonobuoy Fields Using Multi-Objective Optimization
- Score-Aligned Polyphonic Microtiming Estimation
- Second Order Natural Scene Statistics Model of Blind Image Quality Assessment
- Secrecy Capacity Under List Decoding For A Channel with A Passive Eavesdropper and an Active Jammer
- Seeing Through Noise: Visually Driven Speaker Separation And Enhancement
- Segment Parameter Labelling in MCMC Mean-Shift Change Detection
- Segmental Audio Word2Vec: Representing Utterances as Sequences of Vectors with Applications in Spoken Term Detection
- Self -Paced Mixture of T Distribution Model
- Self-Adaptive Machine Learning Operating Systems for Security Applications
- Selfish Learning: Leveraging the Greed in Social Learning
- Semi-Blind Channel Estimation in Massive Mimo Systems with Different Priors on Data Symbols
- Semi-Closed Form Solution for Sum Rate Maximization in Downlink Multiuser MIMO Via Large-System Analysis
- Semi-Recurrent Cnn-Based Vae-Gan for Sequential Data Generation
- Semi-Supervised Learning with Deep Neural Networks for Relative Transfer Function Inverse Regression
- Semi-Supervised Multiple Feature Fusion for Video Preference Estimation
- Semi-Supervised Sleep-Stage Scoring Based on Single Channel EEG
- Semi-Supervised Training Using Adversarial Multi-Task Learning for Spoken Language Understanding
- Semi-Supervised Training of Acoustic Models Using Lattice-Free MMI
- Semi-Supervised and Transfer Learning Approaches for Low Resource Sentiment Classification
- Semidefinite Programming for Tdoa Localization with Locally Synchronized Anchor Nodes
- Sensory Mapping Adaptation Under Multiple Task Scenarios
- Separable Dictionary Learning for Convolutional Sparse Coding via Split Updates
- Separake: Source Separation with a Little Help from Echoes
- Sequence Distillation for Purely Sequence Trained Acoustic Models
- Sequence Modeling in Unsupervised Single-Channel Overlapped Speech Recognition
- Sequence Training of Encoder-Decoder Model Using Policy Gradient for End-to-End Speech Recognition
- Sequence-Based Multi-Lingual Low Resource Speech Recognition
- Sequence-to-Sequence Asr Optimization Via Reinforcement Learning
- Sequential Adaptive Detection for In-Situ Transmission Electron Microscopy (TEM)
- Sequential Direction Detection for Sound Scene Analysis
- Sequential Inference Methods for Non-Homogeneous Poisson Processes with State-Space Prior
- Sequential Maximum Margin Classifiers for Partially Labeled Data
- Sfemcca: Supervised Fractional-Order Embedding Multiview Canonical Correlation Analysis for Video Preference Estimation
- Shaking Acoustic Spectral Sub-Bands can Letxer Regularize Learning in Affective Computing
- Shared Human-Machine Control for Self-Aware Prostheses
- Shift-Invariant Kernel Additive Modelling for Audio Source Separation
- Short Packet Structure for Ultra-Reliable Machine-Type Communication: Tradeoff between Detection and Decoding
- Signboard Saliency Detection in Street Videos
- Similarity Measures for Vocal-Based Drum Sample Retrieval Using Deep Convolutional Auto-Encoders
- Simulating Dysarthric Speech for Training Data Augmentation in Clinical Speech Applications
- Simultaneous Accurate Detection of Pulmonary Nodules and False Positive Reduction Using 3D CNNs
- Simultaneous Speech Recognition and Acoustic Event Detection Using an LSTM-CTC Acoustic Model and a WFST Decoder
- Singing Expression Transfer from One Voice to Another for a Given Song
- Singing Style Investigation by Residual Siamese Convolutional Neural Networks
- Singing Voice Correction Using Canonical Time Warping
- Single Channel Speech Separation with Constrained Utterance Level Permutation Invariant Training Using Grid LSTM
- Single Channel Target Speaker Extraction and Recognition with Speaker Beam
- Single Depth Image Super-Resolution Using Convolutional Neural Networks
- Sliding Bidirectional Recurrent Neural Networks for Sequence Detection in Communication Systems
- Slow-Time Coding for Mutual Interference Mitigation
- Small Perturbation Analysis of Network Topologies
- Small-Sample-Support Channel Estimation for Massive Mimo Systems
- Smoothing Model Predictions Using Adversarial Training Procedures for Speech Based Emotion Recognition
- Soft Decoding of Light Field Images Using Pocs and Fast Graph Spectrayl Filters
- Soft-Target Training with Ambiguous Emotional Utterances for DNN-Based Speech Emotion Classification
- Software Defined Resource Allocation for Service-Oriented Networks
- Solving Linear Inverse Problems Using Gan Priors: An Algorithm with Provable Guarantees
- Sometimes They Come Back: Testing Two Simple Hypotheses (In The Realm Of Unlabeled Data)
- Sound Field Decomposition Using SPICE Decomposition
- Sound Field Reproduction with Exterior Cancellation Using Analytical Weighting of Harmonic Coefficients
- Sound Source Localization in a Multipath Environment Using Convolutional Neural Networks
- Sound Source Separation Using Phase Difference and Reliable Mask Selection Selection
- Source and Direction of Arrival Estimation Based on Maximum Likelihood Combined with GMM and Eigenanalysis
- Source-Aware Context Network for Single-Channel Multi-Speaker Speech Separation
- Sparse Activity Detection for Massive Connectivity in Cellular Networks: Multi-Cell Cooperation Vs Large-Scale Antenna Arrays
- Sparse Bounded Component Analysis for Convolutive Mixtures
- Sparse Disparity Estimation Using Global Phase Only Correlation for Stereo Matching Acceleration
- Sparse Dynamic Filtering via Earth Mover's Distance Regularization
- Sparse Head-Related Transfer Function Representation with Spatial Aliasing Cancellation
- Sparse Low-Rank Component Coding for Face Recognition with Illumination And Corruption
- Sparse Non-Local Similarity Modeling for Audio Inpainting
- Sparse Recovery Assisted Doa Estimation Utilizing Sparse Bayesian Learning
- Sparse Support Recovery Via Covariance Estimation
- Sparse Three-Parameter Restricted Indian Buffet Process for Understanding International Trade
- Sparse Topology Identification for Point Process Networks
- Sparsity and Rank Exploitation for Time-Varying Narrowband Leaked OFDM Channel Estimation
- Sparsity-Based Space-Time Adaptive Processing for Airborne Radar with Coprime Array and Coprime Pulse Repetition Interval
- Spatial Array Thinning for Interference Cancellation Under Connectivity Constraints
- Spatial Audio Feature Discovery with Convolutional Neural Networks
- Spatial Ensemble Kernel Learning for Scene Classification
- Spatially-Limited Sampling of Band-Limited Signals on the Sphere
- Spatiotemporal Attention Based Deep Neural Networks for Emotion Recognition
- Speaker Adaptation for Multichannel End-to-End Speech Recognition
- Speaker Diarization with LSTM
- Speaker Invariant Feature Extraction for Zero-Resource Languages with Adversarial Learning
- Speaker-Invariant Training Via Adversarial Learning
- Speaker-Phonetic Vector Estimation for Short Duration Speaker Verification
- Spectral Distortion Model for Training Phase-Sensitive Deep-Neural Networks for Far-Field Speech Recognition
- Spectral Feature Mapping with MIMIC Loss for Robust Speech Recognition
- Spectral Radii of Asymptotic Mappings and the Convergence Speed of the Standard Fixed Point Algorithm
- Spectral Smoothing by Variationalmode Decomposition and its Effect on Noise and Pitch Robustness of ASR System
- Spectral-Envelope-Based Least Significant Bit Management for Low-Delay Bit-Error-Robust Speech Coding
- Spectrally Compatible Waveform Design for MIMO Radar Transmit Beampattern with Par and Similarity Constraints
- Spectro-Temporal Neural Factorization for Speech Dereverberation
- Speech Bandwidth Extension Using Generative Adversarial Networks
- Speech Dereverberation Based on Convex Optimization Algorithms for Group Sparse Linear Prediction
- Speech Dereverberation Based on Integrated Deep and Ensemble Learning Algorithm
- Speech Enhancement Using Multiple Deep Neural Networks
- Speech Prediction Using an Adaptive Recurrent Neural Network with Application to Packet Loss Concealment
- Speech Segment Clustering for Real-Time Exemplar-Based Speech Enhancement
- Speech Watermarking Based on Robust Principal Component Analysis and Formant Manipulations
- Speech Waveform Synthesis from MFCC Sequences with Generative Adversarial Networks
- Speech-Transformer: A No-Recurrence Sequence-to-Sequence Model for Speech Recognition
- Spoken Language Understanding without Speech Recognition
- Stan: Spatio- Temporal Adversarial Networks for Abnormal Event Detection
- State-of-the-Art Speech Recognition with Sequence-to-Sequence Models
- Statistical Evaluation of Visual Quality Metrics for Image Denoising
- Statistical Learning of Rational Wavelet Transform for Natural Images
- Statistical Phrase/Accent Command Estimation Algorithm Utilizing Linguistic Information
- Statistical Speech Enhancement Based on Probabilistic Integration of Variational Autoencoder and Non-Negative Matrix Factorization
- Statistical T+2d Subband Modelling for Crowd Counting
- Statistical Voice Conversion Based on Wavenet
- Stochastic Dynamical Systems Based Latent Structure Discovery in High-Dimensional Time Series
- Stochastic Online Dictionary Learning for Speech Source Localization and Separation in Spherical Harmonic Domain
- Stochastic Optimization of Power Systems with Risk Constraints And Sparsely Distributed Storage
- Stochastic Variance Reduced Multiplicative Update for Nonnegative Matrix Factorization
- Streaming Influence Maximization in Social Networks Based on Multi-Action Credit Distribution
- Strong Duality of Sparse Functional Optimization
- Structure from Sound with Incomplete Data
- Structured Analysis Dictionary Learning for Image Classification
- Structured Prediction of Dense Maps between Geometric Domains
- Study of Dense Network Approaches for Speech Emotion Recognition
- Sub-Diffraction Imaging Using Fourier Ptychography and Structured Sparsity
- Subset Selection for Kernel-Based Signal Reconstruction
- Sufficiency Quantification for Seamless Text-Independent Speaker Enrollment
- Super Wide Regression Network for Unsupervised Cross-Database Facial Expression Recognition
- Supervised Noise Reduction for Multichannel Keyword Spotting
- Sure-Based Dual Domain Image Denoising
- Symbol-Level Precoding is Symbol-Perturbed zf When Energy Efficiency is Sought
- Symmetric Upwind Scheme for Discrete Weighted Total Variation
- Synthesis of Images by Two-Stage Generative Adversarial Networks
- Synthetic CT Generation Using MRI with Deep Learning: How Does the Selection of Input Images Affect the Resulting Synthetic CT?
- TV-SVM: Support Vector Machine with Total Variational Regularization
- TaSNet: Time-Domain Audio Separation Network for Real-Time, Single-Channel Speech Separation
- Target and Background Separation in Hyperspectral Imagery for Automatic Target Detection
- Tarm: A Turbo-Type Algorithm for Low-Rank Matrix Recovery
- Team Decision Making with Social Learning: Human Subject Experiments
- Temperature Robust Active-Compensated Sound Field Reproduction Using Impulse Response Shaping
- Temporal Modeling Using Dilated Convolution and Gating for Voice-Activity-Detection
- Tensor Subspace Detection with Tubal-Sampling and Elementwise-Sampling
- Tensor-Based Nonlinear Classifier for High-Order Data Analysis
- Tensor-Based Parameter Estimation of Double Directional Massive Mimo Channel with Dual-Polarized Antennas
- Terahertz Imaging of Binary Reflectance with Variational Bayesian Inference
- Text-to-Speech Synthesis Using STFT Spectra Based on Low-/Multi-Resolution Generative Adversarial Networks
- The Asynchronous Power Iteration: A Graph Signal Perspective
- The Av1 Constrained Directional Enhancement Filter (Cdef)
- The Chord Gap Divergence and a Generalization of the Bhattacharyya Distance
- The Dimensions of Perceptual Quality of Sound Source Separation
- The Incremental Proximal Method: A Probabilistic Perspective
- The Landscape of Non-Convex Quadratic Feasibility
- The Learned Inexact Project Gradient Descent Algorithm
- The Microsoft 2017 Conversational Speech Recognition System
- The Network Nullspace Property for Compressed Sensing of Big Data Over Networks
- The Nystrom Extension for Signals Defined on a Graph
- Three-User Mimo Broadcast Channel with Delayed Csit: A Higher Achievable DoF
- Tic-Tac, Forgery Time Has Run-Up! Live Acoustic Watermarking For Integrity Check in Forensic Applications
- Time Reversal Indoor Tracking with Centimeter Accuracy
- Time Series and Morphological Feature Extraction for Classifying Coronary Artery Disease from Photoplethysmogram
- Time-Delayed Bottleneck Highway Networks Using a DFT Feature for Keyword Spotting
- Time-Frequency Masking-Based Speech Enhancement Using Generative Adversarial Network
- Time-Frequency Networks for Audio Super-Resolution
- Time-Varying Delay Estimation Using Common Local All-Pass Filters with Application to Surface Electromyography
- Toeplitz Matrix-Based Transmit Covariance Matrix of Colocated Mimo Radar Waveforms for Sinr Maximization
- Tomography of Adaptive Multi-Agent Networks Under Limited Observation
- Tone Reservation and Solvability Concepts for the Papr Problem in General Orthonormal Transmission Systems
- Total Variation Iterative Linear Expansion of Thresholds with Applications in CT
- Toward Secure Image Denoising: A Machine Learning Based Realization
- Towards Adaptive Deep Brain Stimulation in Parkinson'S Disease: Lfp-Based Feature Analysis and Classification
- Towards Complete Polyphonic Music Transcription: Integrating Multi-Pitch Detection and Rhythm Quantization
- Towards Conditional Adversarial Training for Predicting Emotions from Speech
- Towards Directly Modeling Raw Speech Signal for Speaker Verification Using CNNS
- Towards End-to-end Spoken Language Understanding
- Towards Language-Universal End-to-End Speech Recognition
- Towards Learning Nuisance-Free Representations of Speech
- Towards Open Set Camera Model Identification Using a Deep Learning Framework
- Towards Optimum Counterforensics of Multiple Significant Digits Using Majorisation-Minimisation
- Towards Perceptually Guided Rate-Distortion Optimization For Hevc
- Towards Predicting Physiology from Speech During Stressful Conversations: Heart Rate and Respiratory Sinus Arrhythmia
- Towards Scalable Information-Seeking Multi-Domain Dialogue
- Towards a Wearable Cough Detector Based on Neural Networks
- Tracked Instance Search
- Tracking of Enriched Dialog States for Flexible Conversational Information Access
- Trade-offs in Data-Driven False Data Injection Attacks Against the Power Grid
- Trainable Co-Occurrence Activation Unit for Improving Convnet
- Training Deep Neural Networks via Optimization Over Graphs
- Training Probabilistic Spiking Neural Networks with First- To-Spike Decoding
- Training Supervised Speech Separation System to Improve STOI and PESQ Directly
- Transcribing Lyrics from Commercial Song Audio: the First Step Towards Singing Content Processing
- Transferring Information Between Neural Networks
- Transformed Spiked Covariance Completion for Time Series Estimation
- True Gradient-Based Training of Deep Binary Activated Neural Networks Via Continuous Binarization
- Twitter User Geolocation Using Deep Multiview Learning
- Two Embedding Strategies for Payload Distribution in Multiple Images Steganography
- Two-Dimensional Quaternion Sparse Principle Component Analysis
- Two-Sample Testing can be as Hard as Structure Learning in Ising Models: Minimax Lower Bounds
- Two-Stage Identification of Locally Stationary Autoregressive Processes and its Application to the Parametric Spectrum Estimation
- U-Fresh: An Fri-Based Single Image Super Resolution Algorithm and An Application in Image Compression
- Unbiased Distance Based Non-Local Fuzzy Means
- Uncertainty Principle for Rational Functions in Hardy Spaces
- Underlay Device-to-Device Communications on Multiple Channels
- Understanding Recurrent Neural State Using Memory Signatures
- Understanding The Aesthetic Styles of Social Images
- Underwater Optical Sensor Networks Localization with Limited Connectivity
- Unequal Error Protection Querying Policies for the Noisy 20 Questions Problem
- Unifying Local and Global Methods for Harmonic-Percussive Source Separation
- Universal Approach for DCT-Based Constant-Time Gaussian Filter with Moment Preservation
- Unlimited Sampling of Sparse Signals
- Unobtrusive Monitoring of Speech Impairments of Parkinson'S Disease Patients Through Mobile Devices
- Unsupervised Adaptation of Neural Networks for Discriminative Sound Source Localization with Eliminative Constraint
- Unsupervised Beamforming Based on Multichannel Nonnegative Matrix Factorization for Noisy Speech Recognition
- Unsupervised Cross-Corpus Speech Emotion Recognition Using Domain-Adaptive Subspace Learning
- Unsupervised Deep Transform Learning
- Unsupervised Discovery of an Extended Phoneme Set in L2 English Speech for Mispronunciation Detection and Diagnosis
- Unsupervised Domain Adaptation for Gender-Aware PLDA Mixture Models
- Unsupervised Domain Adaptation via Domain Adversarial Training for Speaker Recognition
- Unsupervised Image Segmentation by Backpropagation
- Unsupervised Learning Approach to Feature Analysis for Automatic Speech Emotion Recognition
- Unsupervised Learning of Semantic Audio Representations
- Use of Pitch Continuity for Robust Speech Activity Detection
- Using Accelerometric and Gyroscopic Data to Improve Blood Pressure Prediction from Pulse Transit Time Using Recurrent Neural Network
- Using Block Coordinate Descent to Learn Sparse Coding Dictionaries with a Matrix Norm Update
- Using Deep Learning to Classify Power Consumption Signals of Wireless Devices: An Application to Cybersecurity
- Using Optimal Mass Transport for Tracking and Interpolation of Toeplitz Covariance Matrices
- Using audio-visual information to understand speaker activity: Tracking active speakers on and off screen
- Using the Arduino Due for Teaching Digital Signal Processing
- Utterance-Wise Recurrent Dropout and Iterative Speaker Adaptation for Robust Monaural Speech Recognition
- VR IQA NET: Deep Virtual Reality Image Quality Assessment Using Adversarial Learning
- Vae-Space: Deep Generative Model of Voice Fundamental Frequency Contours
- Variational Bayes Sub-Group Adaptive Sparse Component Extraction for Diagnostic Imaging System
- Variational Deep Learning for Low-Dose Computed Tomography
- Vector ℓ0 Sparse Conditional Independence Graphs
- Vectorwise Coordinate Descent Algorithm for Spatially Regularized Independent Low-Rank Matrix Analysis
- Verbal Protest Recognition in Children with Autism
- Video enhancement with convex optimization methods
- Virtual Pulse Design for IEEE 802.11AD-Based Joint Communication-Radar
- Vision as an Interlingua: Learning Multilingual Semantic Embeddings of Untranscribed Speech
- Visual-Only Recognition of Normal, Whispered and Silent Speech
- Visualization and Interpretation of Siamese Style Convolutional Neural Networks for Sound Search by Vocal Imitation
- Vocal Melody Extraction Using Patch-Based CNN
- Voice Activity Detection Using Neurograms
- Voice Conversion Through Residual Warping in a Sparse, Anchor-Based Representation of Speech
- Voice Impersonation Using Generative Adversarial Networks
- Voxel-Based Lesion-Symptom Mapping: A Nonparametric Bayesian Approach
- WAKE-BPAT: Wavelet-Based Adaptive Kalman Filtering for Blood Pressure Estimation Via Fusion of Pulse Arrival Times
- Watch, Listen Once, and Sync: Audio-Visual Synchronization With Multi-Modal Regression Cnn
- Water Equivalent Thickness Estimation Via Sparse Deconvolution of Proton Radiography Data
- Watermarking and Rank Metric Codes
- Waveform-Based Multi-Stimulus Coding for Brain-Computer Interfaces Based on Steady-State Visual Evoked Potentials
- Wavelet Shrinkage and Thresholding Based Robust Classification for Brain-Computer Interface
- Wavelet-Based Reconstruction for Unlimited Sampling
- Wavenet Based Low Rate Speech Coding
- Weighted Block Sparse Bayesian Learning for Basis Selection
- Weighted and Multi-Task Loss for Rare Audio Event Detection
- What is my Dog Trying to Tell Me? the Automatic Recognition of the Context and Perceived Emotion of Dog Barks
- When Does Periodicity in Discrete-Time Imply that in Continuous-Time?
- Who is More at Risk in Heterogenous Networks?
- Whole Sentence Neural Language Models
- WiDetect: A Robust and Low-Complexity Wireless Motion Detector
- Widely Linear CLMS Based Cancelation of Nonlinear Self -Interference in Full-Duplex Direct-Conversion Transceivers
- X-Vectors: Robust DNN Embeddings for Speaker Recognition
- Yedroudj-Net: An Efficient CNN for Spatial Steganalysis
- Zeroth-Order Diffusion Adaptation Over Networks
- a Multi-Perspective Approach to Anomaly Detection for Self -Aware Embodied Agents
- learning Effective Factorized Hidden Layer Bases Using Student-Teacher Training for LSTM Acoustic Model Adaptation
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