A Novel Endpoint Detection Using Discrete Wavelet Transform

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概要

• 論文の詳細を見る

• 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.

• 社団法人電子情報通信学会の論文
• 1999-11-25

著者

• BAE Keun

  School of Electronic & Electrical Engineering of Kyungpook National University

• Bae Keun

  School Of Electronic & Electrical Engineering Of Kyungpook National University

• Seok Jong

  Broadcasting Technology Department Electronics And Telecommunications Research Institute

関連論文

• Comparison of Glottal Closure Instants Obtained by Using Wavelet Transform of Speech Signal and EGG Signal
• A Novel Endpoint Detection Using Discrete Wavelet Transform

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