Hindi Number Recognition using GMM
نویسندگان
چکیده
This paper aims at designing and implementation of Hindi number recognition system using the microphone and mobile recorded speech. Spectral features known to represent phonetic information are used as the features to characterize different Hindi digits. Gaussian mixture models (GMM) are used to develop the digit recognition system. This paper focuses on the ten basic Hindi digits where '0' is pronounced as 'shunya' to '9' is pronounced as 'no'. Data has been collected separately from male, female and child speakers using microphone and mobile phone device. The experimental results show that the overall accuracy of digit recognition is 98. 9% in the case of microphone recorded speech and 96. 4% in the case of mobile phone recorded speech.
منابع مشابه
Audio Visual Speech Synthesis and Speech Recognition for Hindi Language
Every person in the world want to share their information, thoughts from one person to another. So communication plays very important role into that. Speech is the primary means of communication. Hindi is very popular and well known language of India. Everybody understands and speak and write easily. Our System developed for Hindi Text to Speech and Speech to Text Conversion mainly into the Hin...
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