DocumentCode
231567
Title
Comparison of performance between normal and whispered speech in Chinese isolated word recognition
Author
Jun Sha ; Xueqin Chen ; Yibiao Yu
Author_Institution
Sch. of Electron. & Inf. Eng., Soochow Univ., Suzhou, China
fYear
2014
fDate
19-23 Oct. 2014
Firstpage
545
Lastpage
548
Abstract
Whisper plays an important role on special occasions. Due to differences between normal and whispered speech, this paper firstly compares them in Chinese acoustic characters and MFCC feature distance. Besides, the performance in recognition is compared based on an isolated word recognition system. The experiment result shows that the performance of whisper is worse than normal speech whether in the degree of distinction among isolated word features or the recognition rate by using the same feature parameter and recognition model.
Keywords
cepstral analysis; feature extraction; speech recognition; Chinese acoustic character; Chinese isolated word recognition; MFCC feature distance; Mel-frequency cepstral coefficient feature; whispered speech recognition; Databases; Hidden Markov models; Mel frequency cepstral coefficient; Speech; Speech recognition; Training; MFCC; Speech recognition; feature distance; whispered speech;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing (ICSP), 2014 12th International Conference on
Conference_Location
Hangzhou
ISSN
2164-5221
Print_ISBN
978-1-4799-2188-1
Type
conf
DOI
10.1109/ICOSP.2014.7015064
Filename
7015064
Link To Document