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Author:

Zhang, Da-Wei (Zhang, Da-Wei.) | Bao, Chang-Chun (Bao, Chang-Chun.) (Scholars:鲍长春) | Xia, Bing-Yin (Xia, Bing-Yin.)

Indexed by:

EI Scopus PKU CSCD

Abstract:

In order to improve the performance of source localization in noisy and reverberant environments, a novel time delay estimation (TDE) method was proposed. This method is called acoustical transfer function ratio based on statistical model (ATFR-SM). In the proposed algorithm, the noise reduction method based on the statistical model was adopted to reduce the effect of noise on acoustical transfer Function (ATF). In the ATF method, the power spectral density (PSD) was smoothed and whitened to reduce the effect of reverberations. voice activity detection (VAD) was used to distinguish the speech period from the noise period, and the TDE was performed in the speech period to improve the estimation accuracy. Moreover, the proposed TDE method and the linear closed-form method for source localization were combined to constitute a source localization system. The results of performance evaluation show that, in both the noisy and reverberant conditions, the lower percentage of abnormal points (PAP) and lower root mean square error (RMSE) can be achieved by the proposed TDE method than those of the reference methods. Meanwhile, the source localization has higher accuracy than the reference methods.

Keyword:

Acoustic noise Transfer functions Velocity control Time delay Spectral density Timing circuits Speech recognition Bioelectric phenomena Mean square error Noise abatement Reverberation

Author Community:

  • [ 1 ] [Zhang, Da-Wei]Speech and Audio Signal Processing Lab, School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
  • [ 2 ] [Bao, Chang-Chun]Speech and Audio Signal Processing Lab, School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
  • [ 3 ] [Xia, Bing-Yin]Speech and Audio Signal Processing Lab, School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China

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Source :

Journal on Communications

ISSN: 1000-436X

Year: 2014

Issue: 1

Volume: 35

Page: 183-190

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: 8

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