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Please use this identifier to cite or link to this item: http://hdl.handle.net/1842/1128

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Title: Robust Pitch Detection by Narrow Band Spectrum Analysis
Authors: Shimodaira, Hiroshi
Nakai, Mitsuru
Issue Date: Oct-1992
Citation: [ICSLP-1992] Second International Conference on Spoken Language Processing (ICSLP'92), Banff, Alberta, Canada, October 13-16, 1992. pp. 1597-1600.
Publisher: International Speech Communication Association
Abstract: This paper proposes a new technique for detecting pitch patterns which is useful for automatic speech recognition, by using a narrow band spectrum analysis. The motivation of this approach is that humans perceive some kind of pitch in whispers where no fundamental frequencies can be observed, while most of the pitch determination algorithm (PDA) fails to detect such perceptual pitch. The narrow band spectrum analysis enable us to find pitch structure distributed locally in frequency domain. Incorporating this technique into PDA's is realized to applying the technique to the lag window based PDA. Experimental results show that pitch detection performance could be improved by 4% for voiced sounds and 8% for voiceless sounds.
URI: http://www.isca-speech.org/archive/icslp_1992
http://hdl.handle.net/1842/1128
Appears in Collections:CSTR publications

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