Be the first to like this
We have proposed new approach for the speech recognition system by applying kernel adaptive filter for
speech enhancement and for the recognition, the hybrid HMM/DTW methods are used in this paper. Noise
removal is very important in many applications like telephone conversation, speech recognition, etc. In the
recent past, the kernel methods are showing good results for speech processing applications. The feature
used in the recognition process is MFCC features. It consists of a HMM system used to train the speech
features and for classification purpose used the DTW method. Experimental results show a relative
improvement of recognition rate compared to the traditional methods.