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作者:

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

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EI Scopus

摘要:

In order to improve the performance of source localization in noisy and reverberant environments, a novel Time Delay Estimation (TDE) method is proposed in this paper. This method is called Acoustical Transfer Function Ratio based on Statistical Model (ATFR-SM). In our algorithm, the noise reduction method based on the statistical model is adopted to reduce the effect of noise on Acoustical Transfer Function (ATF). In the ATF method, the Power Spectral Density (PSD) is whitened to reduce the effect of reverberations. Voice Activity Detection (VAD) is used to distinguish the speech period from the noise period, and the TDE is performed in the speech period to improve the estimation accuracy. 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 method than the reference methods. © 2013 IEEE.

关键词:

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

作者机构:

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

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年份: 2013

语种: 英文

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