Detection and separation of speech events in meeting recordings using a microphone array

Authors:
Futoshi Asano;Kiyoshi Yamamoto;Jun Ogata;Miichi Yamada;Masami Nakamura
Affiliations:
Information Technology Research Institute, National Institute of Advanced Industrial Science and Technology, Umezono, Tsukuba, Japan;Information Technology Research Institute, National Institute of Advanced Industrial Science and Technology, Umezono, Tsukuba, Japan;Information Technology Research Institute, National Institute of Advanced Industrial Science and Technology, Umezono, Tsukuba, Japan;Advanced Media Inc., Toshima-Ku, Tokyo, Japan;Advanced Media Inc., Toshima-Ku, Tokyo, Japan
Venue:
EURASIP Journal on Audio, Speech, and Music Processing
Year:
2007

Citing 2
Cited 2

Detection and separation of speech event using audio and video information fusion and its application to robust speech interface

EURASIP Journal on Applied Signal Processing
A robust adaptive beamformer for microphone arrays with a blockingmatrix using constrained adaptive filters

IEEE Transactions on Signal Processing

Signal Processing Techniques for Robust Speech Recognition

IEICE - Transactions on Information and Systems
Speech activity detection for multi-party conversation analyses based on likelihood ratio test on spatial magnitude

IEEE Transactions on Audio, Speech, and Language Processing

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Abstract

When applying automatic speech recognition (ASR) to meeting recordings including spontaneous speech, the performance of ASR is greatly reduced by the overlap of speech events. In this paper, a method of separating the overlapping speech events by using an adaptive beamforming (ABF) framework is proposed. The main feature of this method is that all the information necessary for the adaptation of ABF, including microphone calibration, is obtained from meeting recordings based on the results of speech-event detection. The performance of the separation is evaluated via ASR using real meeting recordings.