DocumentCode
1534011
Title
Weighted autocorrelation for pitch extraction of noisy speech
Author
Shimamura, Tetsuya ; Kobayashi, Hajime
Author_Institution
Dept. of Inf. & Comput. Sci., Saitama Univ., Urawa, Japan
Volume
9
Issue
7
fYear
2001
fDate
10/1/2001 12:00:00 AM
Firstpage
727
Lastpage
730
Abstract
In this paper, we propose a modified version of the autocorrelation pitch extraction method well known to be robust against noise. Utilizing that the average magnitude difference function (AMDF) has similar characteristics with the autocorrelation function, the autocorrelation function is weighted by the reciprocal of the AMDF. By simulation experiments, it is shown that the proposed pitch extraction method is useful in noisy environments
Keywords
acoustic correlation; acoustic noise; frequency estimation; speech processing; AMDF; autocorrelation function; average magnitude difference function; noisy environments; noisy speech; pitch extraction; weighted autocorrelation; Additive white noise; Autocorrelation; Data mining; Frequency; Noise robustness; Oral communication; Speech enhancement; Speech processing; Testing; Working environment noise;
fLanguage
English
Journal_Title
Speech and Audio Processing, IEEE Transactions on
Publisher
ieee
ISSN
1063-6676
Type
jour
DOI
10.1109/89.952490
Filename
952490
Link To Document