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Proceedings Paper

Comparison study between dyadic wavelet transform and modified higher order moment
Author(s): Jeiran Choupan; Seyed Ghorshi; Mohammad Mortazavi; Farshid Sepehrband
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Paper Abstract

Pitch detection is the process of determining the period of the vocal cords closure or in another word the time duration of one glottal closed, open and returning phase. Dyadic wavelets transform (DyWT) and modified higher order moment, are two pitch detection methods. DyWT is an accurate pitch detection method, however it has less accuracy compared to modified higher order moment. On the other hand modified higher order moment has high computational complexity and is time consuming. The DyWT pitch period detection is based on a two pass dyadic wavelet transform over a signal. Modified higher order moment is based on autocorrelation function (ACF) and in this method the speech signal has been split into a positive-amplitude and a negative-amplitude. For window length selection a larger window length that consists of current and several past frames followed by a smaller window length is used. In this paper we try to compare these two pitch detection methods in terms of accuracy, computational complexity and robustness to noise.

Paper Details

Date Published: 1 October 2011
PDF: 8 pages
Proc. SPIE 8285, International Conference on Graphic and Image Processing (ICGIP 2011), 82855F (1 October 2011); doi: 10.1117/12.913400
Show Author Affiliations
Jeiran Choupan, Sharif Univ. of Technology (Iran, Islamic Republic of)
Seyed Ghorshi, Sharif Univ. of Technology (Iran, Islamic Republic of)
Mohammad Mortazavi, Sharif Univ. of Technology (Iran, Islamic Republic of)
Farshid Sepehrband, Sharif Univ. of Technology (Iran, Islamic Republic of)


Published in SPIE Proceedings Vol. 8285:
International Conference on Graphic and Image Processing (ICGIP 2011)

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