New speech harmonic structure measure and its applications to speech processing

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作者
Yu, An-Tze [1 ,2 ]
Wang, Hsiao-Chuan [3 ,4 ]
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[1] Department of Computer Science, National Chupei Senior High School, Hsinchu, Taiwan
[2] No. 3, Jungyang Rd., Jubei City, Hsinchu, 302, Taiwan
[3] Department of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan
[4] 101, Sec. 2, Kuang Fu Road, Hsinchu, 30055, Taiwan
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The harmonic structure can be easily recognized in time-frequency representation of speech signals in adverse environment. The harmonicity is a measure of the completeness of a harmonic structure. This paper presents a new harmonic structure measure that extends the conventional harmonicity to a set of harmonicities. They are expressed in terms of the grid harmonicity; the temporal harmonicity; the segment-spectral harmonicity; and the segmental harmonicity. The grid harmonicity measures the completeness of individual harmonics in each frame. The grid harmonicities in a frame are summed up to form a temporal harmonicity for representing the strength of harmonicity. The segment-spectral harmonicity; computed by summing specific grid harmonicity over a segment; evaluates the integrity of individual harmonics across a segment. The segmental harmonicity evaluates the total strength of harmonic structure within a segment. This set of harmonicities is available for a systematic analysis of the harmonic structure and effective to several speech processing tasks. The applications to speech distortion analysis; robust fundamental frequency estimation; robust voicing detection; and speech enhancement are demonstrated. © 2006 Acoustical Society of America;
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页码:2938 / 2949
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