DocumentCode
2301833
Title
The perceptual wavelet feature for noise robust Vietnamese speech recognition
Author
Quoc Trung, Nguyen ; Trung Nghia, Phung
Author_Institution
Fac. of Electron. & Telecommun., Hanoi Univ. of Technol., Hanoi
fYear
2008
fDate
4-6 June 2008
Firstpage
258
Lastpage
261
Abstract
This study proposes a novel noise robust speech feature for Vietnamese speech recognition based on the Bark scale, the Perceptual Wavelet Packet Transform (PWPT), the Wavelet sub-band Energy Parameters (WEP). This method is used in compare to the widely used MFCC feature recognizer. The experimental results show that our proposal is superior to the widely used MFCC feature for Vietnamese speech corpus with both clean and white noisy speech.
Keywords
speech recognition; wavelet transforms; Bark scale; PWPT; Vietnamese speech recognition; WEP; perceptual wavelet feature; perceptual wavelet packet transform; wavelet subband energy parameters; Discrete cosine transforms; Fourier transforms; Mel frequency cepstral coefficient; Noise robustness; Speech enhancement; Speech processing; Speech recognition; Wavelet packets; Wavelet transforms; Working environment noise; Noise Robust Speech Recognition; Wavelet;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications and Electronics, 2008. ICCE 2008. Second International Conference on
Conference_Location
Hoi an
Print_ISBN
978-1-4244-2425-2
Electronic_ISBN
978-1-4244-2426-9
Type
conf
DOI
10.1109/CCE.2008.4578968
Filename
4578968
Link To Document