The Application of Adaptively Enhanced Bark Wavelet MFCC and The Introduction of A Novel Noise-robust Speech Recognition System
Bark wavelet is a new wavelet which is especially designed for speech signal. Its base function satisfies time and bandwidth product least. Moreover, the Bark wavelet divides frequency band based on auditory model. In order to enhance the ability to resist the noises of different environments, an adaptive enhancement approach is introduced .With this method, it can also solve the problem of poor understandability of the speech signals. This paper uses Bark wavelet in MFCC. It was used to make preprocessing before FFT. On the other hand, it was used to instead of DCT in MFCC for overcoming the DCTs disadvantage of fixed time frequency resolution. Thus, a kind of good anti-noisy speech feature coefficient was obtained. Experimental results of speech recognition demonstrate that this new feature is more robust than the MFCC feature in noise environment and large vocabulary.
Zheng Yu-Zheng Li Go-Liang ZhangJie Liu Xiao-ying
Chengdu University of Information Technology, Chengdu, 610225, China
国际会议
2009 International Workshop on Information Security and Application(2009 信息安全与应用国际研讨会)
青岛
英文
168-172
2009-11-21（万方平台首次上网日期，不代表论文的发表时间）