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
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;
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
DOI :
10.1109/ISIMP.2001.925423
