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Comparison study between dyadic wavelet transform and modified higher order moment

Choupan, J ; Sharif University of Technology | 2011

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  1. Type of Document: Article
  2. DOI: 10.1117/12.913400
  3. Publisher: 2011
  4. Abstract:
  5. 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
  6. Keywords:
  7. Autocorrelation function ; Component; Pitch detection ; Autocorrelation functions ; DyWT ; modified higher order moment ; Pitch detection ; RMSE ; Autocorrelation ; Computational complexity ; Correlation detectors ; Image processing ; Imaging systems ; Regression analysis ; Signal detection ; Wavelet transforms
  8. Source: Proceedings of SPIE - The International Society for Optical Engineering ; Volume 8285 , 2011 ; 0277786X (ISSN) ; 9780819489326 (ISBN)
  9. URL: http://proceedings.spiedigitallibrary.org/proceeding.aspx?articleid=1197946