Search Results for author: Vladimir Tourbabin

Found 9 papers, 1 papers with code

Ambisonics Networks -- The Effect Of Radial Functions Regularization

no code implementations29 Feb 2024 Bar Shaybet, Anurag Kumar, Vladimir Tourbabin, Boaz Rafaely

Ambisonics, a popular format of spatial audio, is the spherical harmonic (SH) representation of the plane wave density function of a sound field.

Ambisonics Encoding For Arbitrary Microphone Arrays Incorporating Residual Channels For Binaural Reproduction

no code implementations27 Feb 2024 Yhonatan Gayer, Vladimir Tourbabin, Zamir Ben-Hur, Jacob Donley, Boaz Rafaely

In the rapidly evolving fields of virtual and augmented reality, accurate spatial audio capture and reproduction are essential.

Direction of Arrival Estimation Using Microphone Array Processing for Moving Humanoid Robots

no code implementations4 Jan 2024 Vladimir Tourbabin, Boaz Rafaely

It is also demonstrated that by using the motion-based enhancement method it is possible to improve the direction of arrival estimation performance, as compared to that obtained when using a stationary array.

Direction of Arrival Estimation Motion Compensation

Blind Localization of Room Reflections with Application to Spatial Audio

no code implementations21 Dec 2023 Yogev Hadadi, Vladimir Tourbabin, Paul Calamia, Boaz Rafaely

Additionally, performance in terms of perception is investigated through a listening test.

Performance Analysis Of Binaural Signal Matching (BSM) in the Time-Frequency Domain

no code implementations22 Nov 2023 Ami Berger, Vladimir Tourbabin, Jacob Donley, Zamir Ben-Hur, Boaz Rafaely

The capture and reproduction of spatial audio is becoming increasingly popular, with the mushrooming of applications in teleconferencing, entertainment and virtual reality.

Subspace Hybrid Beamforming for Head-worn Microphone Arrays

no code implementations15 Mar 2023 Sina Hafezi, Alastair H. Moore, Pierre Guiraud, Patrick A. Naylor, Jacob Donley, Vladimir Tourbabin, Thomas Lunner

A two-stage multi-channel speech enhancement method is proposed which consists of a novel adaptive beamformer, Hybrid Minimum Variance Distortionless Response (MVDR), Isotropic-MVDR (Iso), and a novel multi-channel spectral Principal Components Analysis (PCA) denoising.

Denoising Speech Enhancement

EasyCom: An Augmented Reality Dataset to Support Algorithms for Easy Communication in Noisy Environments

1 code implementation9 Jul 2021 Jacob Donley, Vladimir Tourbabin, Jung-Suk Lee, Mark Broyles, Hao Jiang, Jie Shen, Maja Pantic, Vamsi Krishna Ithapu, Ravish Mehra

In this work, we describe, evaluate and release a dataset that contains over 5 hours of multi-modal data useful for training and testing algorithms for the application of improving conversations for an AR glasses wearer.

Speech Enhancement

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