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An English Fricative Detection Method Based on Energy Spectrum Entropy |
LI Li-Yong, ZHANG Lian-Hai |
Institute of Information System Engineering, PLA Information Engineering University, Zhengzhou 450002 |
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Abstract According to the spectrum characteristics of fricatives, a fricative detection method based on the energy spectrum entropy is proposed. Firstly, phone boundaries are detected based on spectrum of different phonemes. Then, each spectrum entropy of speech segments is computed and the segments whose entropy exceeds the threshold are selected as candidates. Finally, post processing is conducted to remove the insertion errors according to parameters of segment length and the sudden changing of energy at segment starts and ends. The experimental results show that the accuracy of the proposed method is up to 96.9% in clean circumstance when the tolerance is 20 ms.
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Received: 10 December 2012
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