DocumentCode
2883666
Title
Speech signal processing basing upon delta modulation
Author
Gang, Wei ; Yang, Ou ; Zheng, Jing
Author_Institution
South China Univ. of Technol., Guangzhou, China
fYear
1991
fDate
16-17 Jun 1991
Firstpage
6
Abstract
A delta modulation based speech signal processing method is proposed. Analytical as well as experimental results show that this method can work quite successfully in endpoints detection, pitch extraction and vowel recognition. The statistics on the 384 tested vowels produced by 16 Chinese people with different dialectic representations show that the speaker independent recognition rate based upon the AR model parameter of the DM sequence can be as high as 96.1%
Keywords
delta modulation; speech analysis and processing; speech recognition; AR model parameter; Chinese people; delta modulation; dialectic representations; endpoints detection; pitch extraction; speech signal processing; vowel recognition; Costs; Delta modulation; Hidden Markov models; Linear predictive coding; Natural languages; Neural networks; Signal processing; Speech analysis; Speech processing; Speech recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1991. Conference Proceedings, China., 1991 International Conference on
Conference_Location
Shenzhen
Type
conf
DOI
10.1109/CICCAS.1991.184234
Filename
184234
Link To Document