INVESTIGATIONS INTO THE EFFECT OF PROPOSED VQ TECHNIQUE ON ISOLATED HINDI SPEECH RECOGNITION USING DISCRETE HMM’S
Keywords:
VQ, Discrete HMM, Isolated Speech RecognizerAbstract
This paper describes the development of Front End for a Isolated Hindi speech recognizer which includes the
digitization of raw speech and finding its Mel frequency cepstral coefficients (MFCC) which are subjected to a
proposed Vector Quantization (VQ) technique. The Effect of proposed VQ technique is investigated through
Proposed discrete Isolated Hindi speech recognizer. This includes a Front End along with a Statistical model such
as HMM. The results of the experimentation have shown that Proposed VQ technique is more powerful and efficient
as compared to existing K Means technique.


