Detection and Separation of Speech Events in Meeting Recordings Using a Microphone Array

被引：0
作者：
Futoshi Asano
Kiyoshi Yamamoto
Jun Ogata
Miichi Yamada
Masami Nakamura
机构：
[1] National Institute of Advanced Industrial Science and Technology,Information Technology Research Institute
[2] Advanced Media,undefined
[3] Inc.,undefined
来源：
EURASIP Journal on Audio, Speech, and Music Processing | / 2007卷
关键词：
Acoustics; Speech Recognition; Automatic Speech Recognition; Spontaneous Speech; Microphone Array;
D O I：
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学科分类号：
摘要：
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.
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