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Automatic Speech Recognition (ASR) system was implemented using the HMM toolkit for building HMM model using training data. Then, this trained HMM Model was used for recognising words and results revealed that 80.02% accuracy for Phoneme Level Acoustic Model and 79.36% accuracy for word Level Acoustic Model. This developed system can be used by developers and researchers who are interested in speech recognition for language and any other related Indian languages.

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MATLAB 12.68% Groff 87.32%
speech-recognition hmm hmm-model sphinx hidden-markov-model speech-to-text speech-recognizer

speech-recognition-using-hmm's Introduction

Hi ๐Ÿ‘‹, I'm Nilkanth Shet Shirodkar

A passionate Full Stack Developer from India

  • ๐Ÿ”ญ Iโ€™m currently working on Blockchain

  • ๐ŸŒฑ Iโ€™m currently learning Docker, kubernetes

  • ๐Ÿ‘ฏ Iโ€™m looking to collaborate on containerizing apps

  • ๐Ÿ‘จโ€๐Ÿ’ป All of my projects are available at https://www.linkedin.com/in/nilkanthshirodkar/

  • ๐Ÿ’ฌ Ask me about Javascript, Angular, Python

  • ๐Ÿ“ซ How to reach me [email protected]

  • โšก Fun fact Playing TT

nilkanthshet nilkanthshirodkar nilkanthshirodkar nilkanth_shet_shirodkar

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