activity
20232026
most citedOn HRTF Notch Frequency Prediction Using Anthropometric Features and Neural Networks

5 citations · 12 across the 9 of their papers we have counts for

collaborators

12 papers

eess.AS2026

Conditional Flow Matching for Visually-Guided Acoustic Highlighting

Hugo Malard, Gael Le Lan, Daniel Wong +3

Visually-guided acoustic highlighting seeks to rebalance audio in alignment with the accompanying video, creating a coherent audio-visual experience. While visual saliency and enha…

eess.AS2026

Residual Learning for Neural Ambisonics Encoders

Thomas Deppisch, Yang Gao, Manan Mittal +4

Emerging wearable devices such as smartglasses and extended reality headsets demand high-quality spatial audio capture from compact, head-worn microphone arrays. Ambisonics provide…

eess.AS2025

Binaural Signal Matching with Wearable Arrays for Near-Field Sources and Directional Focus

Sapir Goldring, Zamir Ben Hur, David Lou Alon +3

This paper investigates the performance of Binaural Signal Matching (BSM) methods for near-field sound reproduction using a wearable glasses-mounted microphone array. BSM is a flex…

cs.SD2025

Mixture-of-Experts Framework for Field-of-View Enhanced Signal-Dependent Binauralization of Moving Talkers

Manan Mittal, Thomas Deppisch, Joseph Forrer +4

We propose a novel mixture of experts framework for field-of-view enhancement in binaural signal matching. Our approach enables dynamic spatial audio rendering that adapts to conti…

eess.AS2025

Binaural Signal Matching with Wearable Arrays for Near-Field Sources

Sapir Goldring, Zamir Ben Hur, David Lou Alon +1

Binaural reproduction methods aim to recreate an acoustic scene for a listener over headphones, offering immersive experiences in applications such as Virtual Reality (VR) and tele…

eess.AS2025

Ambisonics Encoder for Wearable Array with Improved Binaural Reproduction

Yhonatan Gayer, Vladimir Tourbabin, Zamir Ben-Hur +2

Ambisonics Signal Matching (ASM) is a recently proposed signal-independent approach to encoding Ambisonic signal from wearable microphone arrays, enabling efficient and standardize…

eess.AS2025★ 2 cited

BSM-iMagLS: ILD Informed Binaural Signal Matching for Reproduction with Head-Mounted Microphone Arrays

Or Berebi, Zamir Ben-Hur, David Lou Alon +1

Headphone listening in applications such as augmented and virtual reality (AR and VR) relies on high-quality spatial audio to ensure immersion, making accurate binaural reproductio…

eess.AS2024

Blind Localization of Early Room Reflections with Arbitrary Microphone Array

Yogev Hadadi, Vladimir Tourbabin, Zamir Ben-Hur +2

Blindly estimating the direction of arrival (DoA) of early room reflections without prior knowledge of the room impulse response or source signal is highly valuable in audio signal…

eess.AS2024

Assessing the Potential Impact of Direction-Dependent HRTF Selection on Sound Localization Accuracy

Sapir Goldring, Zamir Ben Hur, David Lou Alon +1

This study investigates the approach of direction-dependent selection of Head-Related Transfer Functions (HRTFs) and its impact on sound localization accuracy. For applications suc…

eess.AS2024

Feasibility of iMagLS-BSM -- ILD Informed Binaural Signal Matching with Arbitrary Microphone Arrays

Or Berebi, Zamir Ben-Hur, David Lou Alon +1

Binaural reproduction for headphone-centric listening has become a focal point in ongoing research, particularly within the realm of advancing technologies such as augmented and vi…

eess.AS2024★ 5 cited

On HRTF Notch Frequency Prediction Using Anthropometric Features and Neural Networks

Lior Arbel, Ishwarya Ananthabhotla, Zamir Ben-Hur +2

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 a…

eess.AS2023★ 5 cited

iMagLS: Interaural Level Difference with Magnitude Least-Squares Loss for Optimized First-Order Head-Related Transfer Function

Or Berebi, Zamir Ben-Hur, David Lou Alon +1

Binaural reproduction for headphone-based listening is an active research area due to its widespread use in evolving technologies such as augmented and virtual reality (AR and VR).…