@inproceedings{4376d1c7e86641eaa1820bc3a8f8b979,
title = "Audio Signal Processing for Telepresence Based on Wearable Array in Noisy and Dynamic Scenes.",
abstract = "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 participant joining virtually a meeting between two dynamic participants. The audio signal processing chain (i) starts by recording using an array mounted on glasses, (ii) with initial processing providing direction-of-arrival estimation of a desired speaker using a direct-path dominance test robust to reverberation, combined with speaker separation for improved dynamic localization, (iii) followed by speech enhancement against interfering speakers and noise, (iv) and ends with applying binaural signal matching for headphone listening. This paper compares model-based processing to learning-based processing in both noisy and dynamic scenarios, and presents a novel processing using data from a real wearable array, studied by simulation and a listening test.",
keywords = "Telepresence, Array signal processing, Recording, Microphone arrays, Data models, Speech enhancement, binaural signal matching, speaker tracking, spatial enhancement",
author = "Hanan Beit-On and Moti Lugasi and Lior Madmoni and Anjali Menon and Anurag Kumar and Jacob Donley and Vladimir Tourbabin and Boaz Rafaely",
note = "DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.; 47th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 ; Conference date: 23-05-2022 Through 27-05-2022",
year = "2022",
month = may,
doi = "10.1109/ICASSP43922.2022.9747583",
language = "English",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers",
pages = "8797--8801",
booktitle = "ICASSP",
address = "United States",
}