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Author:

Deng, Shuhao (Deng, Shuhao.) | Bao, Changchun (Bao, Changchun.)

Indexed by:

CPCI-S EI Scopus

Abstract:

Multi-channel speech coding has become an important research field due to the demand of high quality speech in real life. This paper proposes a novel multi-channel speech coding method based on deep neural networks (DNN) by employing sound localization called time difference of arrival (TDOA). As Figure 1 shown, the DNN and TDOA estimation are used to compress and recover multi-channel speech signals. © 2022 IEEE.

Keyword:

Speech communication Time difference of arrival Deep neural networks

Author Community:

  • [ 1 ] [Deng, Shuhao]Beijing University of Technology, Speech and Audio Signal Processing Laboratory, Faculty of Information Technology, Beijing; 100124, China
  • [ 2 ] [Bao, Changchun]Beijing University of Technology, Speech and Audio Signal Processing Laboratory, Faculty of Information Technology, Beijing; 100124, China

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Source :

ISSN: 1068-0314

Year: 2022

Volume: 2022-March

Page: 451

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 5

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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