Szczegóły publikacji
Opis bibliograficzny
Distributed multiarray noise reduction with online estimation of masks and spatial filters / Julitta Bartolewska, Konrad KOWALCZYK // W: SAM 2020 [Dokument elektroniczny] : 2020 IEEE 11th Sensor Array and Multichannel signal processing workshop : June 8–11, 2020, Hangzhou, China. — Wersja do Windows. — Dane tekstowe. — Piscataway : Institute of Electrical and Electronics Engineers, cop. 2020. — (Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop ; ISSN 1551-2282). — e-ISBN: 978-1-7281-1946-5. — S. [1–5]. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. [5], Abstr. — Publikacja dostępna online od: 2020-06-10
Autorzy (2)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 129103 |
|---|---|
| Data dodania do BaDAP | 2020-06-25 |
| Tekst źródłowy | URL |
| DOI | 10.1109/SAM48682.2020.9104400 |
| Rok publikacji | 2020 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Institute of Electrical and Electronics Engineers (IEEE) |
| Czasopismo/seria | Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop |
Abstract
A rapid increase in popularity of smart devices equipped with acoustic sensors enables the design of speech enhancement methods for distributed setups. In this work, we present a distributed noise reduction scheme in which the time-frequency masks and spatial filters are estimated at the nodes based on the locally available microphone signals and the compressed signals received from other nodes, where each node transmits only a single signal. The proposed block processing facilitates online estimation of masks and distributed spatial filters in an interchanged fashion. The results of performed numerical experiments indicate that the proposed online distributed noise reduction scheme performs similarly to the centralized approach, in which signals of all microphones of the distributed arrays are available for joint processing, and it significantly outperforms the local approach in which only the local microphone signals are available for the estimation of masks and spatial filters.