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Author:

Jia, Yitian (Jia, Yitian.) | Jia, Maoshen (Jia, Maoshen.) | Li, Lu (Li, Lu.) | Gao, Ju (Gao, Ju.) | Yang, Shaoxin (Yang, Shaoxin.)

Indexed by:

EI Scopus

Abstract:

This paper presents a multiple speech source separation method that adopts the minimum variance distortionless response (MVDR) beamformer to separate speech sources based on the direction-of-arrival (DOA) estimated from the B-format microphone recordings. Unlike conventional microphone arrays, the B-format microphone provides complete spatial information of the pressure gradient and acoustic pressure which is useful to multiple sources localization. Therefore, this paper adopts the single-source points detection of the B-format microphone recordings, where only the dominant source is present in the time-frequency domain. A higher accuracy of source localization is achieved by identifying and utilizing only single-source points which contain correct direction cues. According to the DOA estimates, MVDR beamformer is then adopted for recovering the sources separately. The objective evaluation shows that the proposed method outperforms the existing BSS algorithm. © 2020 ACM.

Keyword:

Frequency domain analysis Direction of arrival Blind source separation Microphone array Audio recordings

Author Community:

  • [ 1 ] [Jia, Yitian]Faculty of Information Technology, Beijing University of Technology, 100 PingLeYuan, Chaoyang District Beijing, China
  • [ 2 ] [Jia, Maoshen]Faculty of Information Technology, Beijing University of Technology, 100 PingLeYuan, Chaoyang District Beijing, China
  • [ 3 ] [Li, Lu]Faculty of Information Technology, Beijing University of Technology, 100 PingLeYuan, Chaoyang District Beijing, China
  • [ 4 ] [Gao, Ju]Faculty of Information Technology, Beijing University of Technology, 100 PingLeYuan, Chaoyang District Beijing, China
  • [ 5 ] [Yang, Shaoxin]Beijing-Dublin International College, Beijing University of Technology, 100 PingLeYuan, Chaoyang District, Beijing, China

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Year: 2020

Page: 400-404

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 8

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