The Speech Recognition Based on the Bark Wavelet Front-End Processing
The paper uses Bark wavelet filter instead of the FIR filter as front-end processor of speech recognition system. Bark wavelet divides frequency band based on critical band and its bandwidths are equal in Bark domain. By selecting suitable parameters, Bark wavelet can overcome the disadvantage of dyadic wavelet and M-band wavelet dividing frequency band based on octave. The paper gave the concept and parameter setting method of Bark wavelet. For signals that are filtered by Bark wavelet, ZCPA features with noise-robust are extracted and used in speech recognition. And recognition network uses HMM. The results show the recognition rates of the system in noise environments are improved.
KeywordsRecognition Rate Speech Recognition Shanxi Province Speech Data Linear Frequency
Unable to display preview. Download preview PDF.
- 2.Fu, Q., Yi, K.C.: Bark wavelet transform of speech and its application in speech recognition. Journal of Electronics 28(10), 102–105 (2000)Google Scholar
- 3.Gajic, B., Kudldip, K.P.: Robust speech recognition using feature based on zero-crossings with peak amplitudes. In: ICASSP, vol. 1, pp. 64–67 (2003)Google Scholar