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Talker localization based on the combination of DOA estimation and statistical sound source identification with microphone array

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2 Author(s)
T. Nishiura ; ATR Spoken Language Translation Res. Laboratories, Kyoto, Japan ; S. Nakamura

It is very important for a hands-free speech interface to capture distant talking speech with high quality. A microphone array is an ideal candidate for this purpose. However, this approach requires localizing the target talker. Conventional talker localization algorithms in multiple sound source environments not only have difficulty localizing the multiple sound sources accurately, but also have difficulty localizing the target talker among known multiple sound source positions. To cope with these problems, we propose a new talker localization algorithm consisting of two algorithms. One is DOA (direction of arrival) estimation algorithm for multiple sound source localization based on CSP (cross-power spectrum phase) coefficient addition method. The other is statistical sound source identification algorithm based on GMM (Gaussian mixture model) for localizing the target talker position among localized multiple sound sources. In this paper, we particularly focus on the evaluation of the talker localization algorithm based on the combination of these two algorithms with a microphone array.

Published in:

Statistical Signal Processing, 2003 IEEE Workshop on

Date of Conference:

28 Sept.-1 Oct. 2003