A COHERENCE-BASED CLUSTERING METHOD FOR MULTICHANNEL SPEECH ENHANCEMENT IN WIRELESS ACOUSTIC SENSOR NETWORKS

Antonio Muñoz-Montoro, Pedro Vera-Candeas, Mads Græsbøll Christensen

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

Abstrakt

Speech enhancement constitutes a great challenge in unknown noisy environments. Many studies have addressed this problem for both single-channel and centralized multichannel cases. However, in a real-world scenario, the effect of the reverberation and interference sounds degrades the performance of the state-of-the-art methods. In this sense, speech and signal processing with wireless acoustic sensor networks (WASNs) is becoming more and more popular, since they are able to physically cover a larger space and capture more spatial information mitigating the effect of the reverberation and the interference. In this paper, we present an unsupervised clustering method to cluster the nodes in a WASN into subnetworks, which detect different speakers. Thus, each subnetwork will be interested in detecting one of the multiple speakers in the acoustic scene. The proposed node clustering is based on the estimation of the magnitude-squared coherence between microphones observations, which measures the degree of their linear dependency. Then, a nonnegative matrix factorization (NMF) based approach is developed and applied to find the optimal clustering. Simulation results show that the proposed clustering method can assign nodes into subnetworks based on the microphones observations obtaining promising results.
OriginalsprogEngelsk
Titel2021 29th European Signal Processing Conference (EUSIPCO)
Antal sider5
ForlagIEEE
Publikationsdato8 dec. 2021
Sider1130-1134
Artikelnummer9616074
ISBN (Trykt)978-1-6654-0900-1
ISBN (Elektronisk)978-9-0827-9706-0
DOI
StatusUdgivet - 8 dec. 2021
Begivenhed29th European Signal Processing Conference (EUSIPCO) - Dublin, Irland
Varighed: 23 aug. 202127 aug. 2021
https://eusipco2021.org/

Konference

Konference29th European Signal Processing Conference (EUSIPCO)
Land/OmrådeIrland
ByDublin
Periode23/08/202127/08/2021
Internetadresse
NavnProceedings of the European Signal Processing Conference
ISSN2076-1465

Fingeraftryk

Dyk ned i forskningsemnerne om 'A COHERENCE-BASED CLUSTERING METHOD FOR MULTICHANNEL SPEECH ENHANCEMENT IN WIRELESS ACOUSTIC SENSOR NETWORKS'. Sammen danner de et unikt fingeraftryk.

Citationsformater