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
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;
Conference_Titel :
Signal Processing (ICSP), 2014 12th International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4799-2188-1
DOI :
10.1109/ICOSP.2014.7015064
