Use of fuzzy weighted autocorrelation function for pitch extraction from noisy speech

2002 ◽  
Vol 38 (19) ◽  
pp. 1148 ◽  
Author(s):  
W.-W. Hung
Keyword(s):  
Autocorrelation Function ◽  
Noisy Speech ◽  
Pitch Extraction

scholarly journals Fundamental Frequency Extraction of Noisy Speech Signals

2015 ◽  
Vol 43 ◽  
pp. 51-61
Author(s):  
Mirza A.F.M. Rashidul Hasan ◽  
Rubaiyat Yasmin ◽  
Dipankar Das ◽  
M. M. Hoque ◽  
M. I. Pramanik ◽  
...  
Keyword(s):  
Fundamental Frequency ◽  
Autocorrelation Function ◽  
Time Domain ◽  
Speech Signals ◽  
Original Signal ◽  
New Approach ◽  
Noisy Speech ◽  
Frequency Detection ◽  
Comparative Results

In this paper, we proposed a correlation based method which is a new approach using the autocorrelation function is weighted by the reciprocal of the YIN and very useful for accurate fundamental frequency extraction. The autocorrelation function and also YIN is a popular measurement in estimating fundamental frequency in time domain. In our proposed method, instead of the original signal, we employ its center clipping signal for obtaining the autocorrelation function and this function is weighted by the reciprocal of the YIN for fundamental frequency detection. Comparative results on female and male voices in white and exhibition noise shows that the proposed method can detect fundamental frequency with better accuracy in terms of gross pitch errors as compared to other related methods.

scholarly journals Windowless-Autocorrelation-Based Cepstrum Method for Pitch Extraction of Noisy Speech

2012 ◽  
Vol 16 (3) ◽  
pp. 231-239 ◽  
Author(s):  
M. A. F. M. Rashidul Hasan ◽  
M. Shahidur Rahman ◽  
Tetsuya Shimamura
Keyword(s):  
Noisy Speech ◽  
Pitch Extraction
Sign in / Sign up

Export Citation Format

Share Document