DocumentCode
3131007
Title
Efficient algorithms for speech pitch estimation
Author
Mei, Xiao-Dan ; Pan, Jengshyang ; Sun, Sheng-he
Author_Institution
Dept. of Autom. Test & Control, Harbin Inst. of Technol., China
fYear
2001
fDate
2001
Firstpage
421
Lastpage
424
Abstract
Two novel algorithms for speech pitch estimation are presented. One is based on the average magnitude difference function (AMDF), the other is based on auto-correlation pitch detection algorithms (PDA). Accurate and stable pitch estimation can be obtained by using these fast algorithms. The simulation results prove the effectiveness of these algorithms
Keywords
real-time systems; speech processing; auto-correlation pitch detection algorithms; average magnitude difference function; real time system; simulation; speech pitch estimation algorithms; Autocorrelation; Automatic control; Automatic testing; Digital communication; Electronic equipment testing; Equations; Frequency estimation; Hidden Markov models; Speech analysis; Sun;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Multimedia, Video and Speech Processing, 2001. Proceedings of 2001 International Symposium on
Conference_Location
Hong Kong
Print_ISBN
962-85766-2-3
Type
conf
DOI
10.1109/ISIMP.2001.925423
Filename
925423
Link To Document