NDLI: Pitch Detection Method for Noisy Speech Signals Based on Wavelet Transform and Autocorrelation Function

Content Provider	IEEE Xplore Digital Library
Author	Li Ru-Wei Cao Long-tao Li Yang
Copyright Year	2013
Description	Author affiliation: Sch. of Electron. Inf. & Control Eng., Beijing Univ. of Technol., Beijing, China (Li Ru-Wei; Cao Long-tao; Li Yang)
Abstract	Most of the current pitch detection algorithms can not work well under the high noise environment. For this reason, a pitch detection algorithm for noisy speech signals based on wavelet transform and autocorrelation function is proposed. First, the noisy speech signals are decomposed by three-layer wavelet transform in order to get rid of the high frequency noise and obtain the approximate signals which can better describe the periodicity of speech signal. Then, the autocorrelation functions (ACF) of the approximate signals are calculated. Next, the initial pitches are determined according to the peaks of the autocorrelation function. Finally, median filtering is adopted to improve the smoothness of pitch detection. Experiments show that, the proposed algorithm can improve the accuracy of pitch detection in both clean and noisy environments in comparison the ACF approach.
Starting Page	153
Ending Page	156
File Size	413185
Page Count	4
File Format	PDF
ISBN	9780769551203
DOI	10.1109/IIH-MSP.2013.47
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-10-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wavelet transforms pre-filter Correlation pitch detection Noise Signal processing algorithms wavelet transform speech signal processing Speech Noise measurement
Content Type	Text
Resource Type	Article

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