A novel time delay estimation method in noisy and reverberant environments - Details

Author：

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

Indexed by：

EI Scopus

Abstract：

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.

Keyword：

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

Author Community：

[ 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