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picture1_Sanskrit Pdf 102242 | Sanskrit Speech Recognition Using Hidden Markov Model Toolkit Ijertv3is100141


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File: Sanskrit Pdf 102242 | Sanskrit Speech Recognition Using Hidden Markov Model Toolkit Ijertv3is100141
international journal of engineering research technology ijert issn 2278 0181 vol 3 issue 10 october 2014 sanskrit speech recognition using hidden markov model toolkit jitendra singh pokhariya d r sanjay ...

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...International journal of engineering research technology ijert issn vol issue october sanskrit speech recognition using hidden markov model toolkit jitendra singh pokhariya d r sanjay mathu electronics communicatio n communication g b p u at pantnagar uttarakhand india abstract automated asr is the ability a machine or program to recognize voice into mfcc format for further use in process commands take dictation which involves training and testing here represents mel frequency match pattern against provided acquired cepstral coefficient feature extraction also includes vocabulary present mainly parameters such as amplitude energy hmms based recognizers are used this signal mapping given test work aims build system one data various language htk knowledge refers develop trained phone acoustic utterances has been collected from ten can be monophone triphone speakers experimental results show that overall developed accuracy presented with state states order generate hmm topology respective...

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