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Boaz Rafaely

10 accepted papers

2026

AN EFFICIENT NEURAL NETWORK FOR MODELING HUMAN AUDITORY NEUROGRAMS FOR SPEECH

ICASSP 2026poster

Classical auditory-periphery models, exemplified by Bruce et al., 2018, provide high-fidelity simulations but are stochastic and computationally demanding, limiting large-scale experimentation and low-latency use. Prior neural encoders approximate aspects of the periphery; however, few are explicitl…

Cited by 0SourcePDFScholar
2025

Ambisonics Binaural Rendering via Masked Magnitude Least Squares

ICASSP 2025accepted

Ambisonics rendering has become an integral part of 3D audio for headphones. It works well with existing recording hardware, the processing cost is mostly independent of the number of sound sources, and it elegantly allows for rotating the scene and listener. One challenge in Ambisonics headphone re…

Cited by 0SourceScholar
2025

The Importance of Spatial and Spectral Information in Multiple Speaker Tracking

ICASSP 2025accepted

Multi-speaker localization and tracking using microphone array recording is of importance in a wide range of applications. One of the challenges with multi-speaker tracking is to associate direction estimates with the correct speaker. Most existing association approaches rely on spatial or spectral…

Cited by 0SourceScholar
2024

Ambisonics Networks - The Effect of Radial Functions Regularization

ICASSP 2024accepted

Ambisonics, a popular format of spatial audio, is the spherical harmonic (SH) representation of the plane wave density function of a sound field. Many algorithms operate in the SH domain and utilize the Ambisonics as their input signal. The process of encoding Ambisonics from a spherical microphone…

Cited by 0SourceScholar
2024

On HRTF Notch Frequency Prediction using Anthropometric Features and Neural Networks

ICASSP 2024accepted

High fidelity spatial audio often performs better when produced using a personalized head-related transfer function (HRTF). However, the direct acquisition of HRTFs is cumbersome and requires specialized equipment. Thus, many personalization methods estimate HRTF features from easily obtained anthro…

Cited by 0SourceScholar
2022

Audio Signal Processing for Telepresence Based on Wearable Array in Noisy and Dynamic Scenes

ICASSP 2022accepted

Telepresence for virtual meetings has gained interest due to recent travel limitations and the new reality of working from home. However, current literature supporting real-world microphone arrays for realistic telepresence in audio is very limited. This paper investigates a scenario of a distant pa…

Cited by 0SourceScholar
2018

Sparse Head-Related Transfer Function Representation with Spatial Aliasing Cancellation

ICASSP 2018accepted

High-fidelity 3D audio experience requires accurate individual head-related transfer function (HRTF) representation. However, the process of measuring individual HRTFs typically involves measurements from hundreds of directions, with specialized and expensive equipment, which makes this process inac…

Cited by 0SourceScholar
2017

Speaker localization in reverberant rooms based on direct path dominance test statistics

ICASSP 2017accepted

Speaker localization using microphone arrays is typically based on the expected phase and amplitude differences between microphones as a function of the wave arrival direction. However, in rooms with significant reverberation, the direct sound is contaminated by reflections and localization often fa…

Cited by 0SourceScholar
2015

Enhanced robot audition by dynamic acoustic sensing in moving humanoids

ICASSP 2015accepted

Auditory systems of humanoid robots usually acquire the surrounding sound field by means of microphone arrays. These arrays can undergo motion related to the robot's activity. The conventional approach to dealing with this motion is to stop the robot during sound acquisition. This approach avoids ch…

Cited by 0SourceScholar