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A Novel Endpoint Detection Using Discrete Wavelet Transform
Jong Won SEOK Keun Sung BAE
IEICE TRANSACTIONS on Information and Systems
Publication Date: 1999/11/25
Print ISSN: 0916-8532
Type of Manuscript: LETTER
Category: Speech Processing and Acoustics
endpoint detection, discrete wavelet transform, scale,
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A new feature parameter based on a discrete wavelet transform is proposed for word boundary detection of isolated utterances. The sum of standard deviation of wavelet coefficients in the third coarse and weighted first detailed scale is defined as a new feature parameter for endpoint detection. Experimental results demonstrate the superiority of the proposed feature to the conventional ones in capturing word boundaries even in noisy speech.