Fuzzy smoothing of HMM parameters using the Parzen window

Presents a parameter-smoothing technique for discrete hidden Markov models in speech recognition using fuzzy vector quantisation and the Parzen window. The technique is compared with existing smoothing techniques by experiments with speaker-independent isolated word recognition. The results suggest that this technique is more effective than the others in terms of improved recognition.