Speaker Dependent and Independent Isolated Hindi Word Recognizer using Hidden Markov Model (HMM)

Speaker Dependent and Independent Isolated Hindi Word Recognizer using Hidden Markov Model (HMM)

Hindi is very complex language with large number of phonemes and being used with various ascents in different regions in India. In this manuscript, speaker dependent and independent isolated Hindi word recognizers using the Hidden Markov Model (HMM) is implemented, under noisy environment. For this study, a set of 10 Hindi names has been chosen as a test set for which the training and testing i...

Speaker-Independent Isolated Word Recognition Using Multiple Hidden Markov Models

A multi-HMM speaker-independent isolated word recognition system is described. In this system , three vector quantization methods, the LBG algorithm, the EM algorithm, and a new MGC algorithm, are used for the classiication of the speech space. These quantizations of the speech space are then used to produce three HMMs for each word in the vocabulary. In the recognition step, the Viterbi algori...

Speaker Independent Speech Recognition Using Hidden Markov Models for Persian Isolated Words

Speaker Independent Speech Recognition Using Hidden Markov Models for Persian Isolated Words

speaker independent speech recognition using hidden markov models for persian isolated words

0