Robust Talker Direction Estimation Based on Weighted CSP Analysis and Maximum Likelihood Estimation

Authors:
Yuki Denda;Takanobu Nishiura;Yoichi Yamashita
Affiliations:
The authors are with the Graduate School of Science and Engineering, Ritsumeikan University, Kusatsu-shi, 525--8577 Japan. E-mail: gr021052@se.ritsumei.ac.jp;The authors are with the Graduate School of Science and Engineering, Ritsumeikan University, Kusatsu-shi, 525--8577 Japan. E-mail: gr021052@se.ritsumei.ac.jp;The authors are with the Graduate School of Science and Engineering, Ritsumeikan University, Kusatsu-shi, 525--8577 Japan. E-mail: gr021052@se.ritsumei.ac.jp
Venue:
IEICE - Transactions on Information and Systems
Year:
2006

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Abstract

This paper describes a new talker direction estimation method for front-end processing to capture distant-talking speech by using a microphone array. The proposed method consists of two algorithms: One is a TDOA (Time Delay Of Arrival) estimation algorithm based on a weighted CSP (Cross-power Spectrum Phase) analysis with an average speech spectrum and CSP coefficient subtraction. The other is a talker direction estimation algorithm based on ML (Maximum Likelihood) estimation in a time sequence of the estimated TDOAs. To evaluate the effectiveness of the proposed method, talker direction estimation experiments were carried out in an actual office room. The results confirmed that the talker direction estimation performance of the proposed method is superior to that of the conventional methods in both diffused- and directional-noise environments.