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KMID : 1022420090010040111
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Phonetics and Speech Sciences
2009 Volume.1 No. 4 p.111 ~ p.117
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Spectral Pattern Based Robust Speech Endpoint Detection in Noisy Environments
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Park Jin-Soo
Lee Yoon-Jae
Lee In-Ho
Ko Han-Seok
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Abstract
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In this paper, a new speech endpoint detector in noisy environment is proposed. According to the previous research, the energy feature in the speech region is easily distinguished from that in the speech absent region. In conventional method, the endpoint can be found by applying the edge detection filter that finds the abrupt changing point in feature domain. However, since the frame energy feature is unstable in noisy environment, the accurate edge detection is not possible. Therefore, in this paper, the novel feature extraction method based on spectrum envelop pattern is proposed. Then, the edge detection filter is applied to the proposed feature for detection of the endpoint. The experiments are performed in the car noise environment and a substantial improvement was obtained over the conventional method.
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KEYWORD
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endpoint detection, frame energy, spectral pattern, edge detection filter
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