Call For Paper Volume:4 Issue:10 Oct'2017 |

Isolated Digit Recogntion using Mathematical Tool based on Hidden Markov Model

Publication Date : 10/07/2015

Author(s) :

Ganesh S Pawar , Sunil S Morade.

Conference Name :
4th International Conference on Recent Trends in Engineering & Technology(ICRTET-2015) July 2-4,2015 Organized by SNJB's KBJ College of Engineering,Chandwad,Nashik,Maharashtra,India

Abstract :

The work presented here describes the use of Mathematical tool like HTK (Hidden Markov Model Toolkit) for recognition of English isolated digits. Two different databases are used here which comprise of audio recordings for the English language isolated digits. Digits used are ZERO to NINE. First database is a standard CUAVE database (36 speakers, each spoken 10 words) and other database is self-recorded sample files of students of Engineering. The system has been implemented for speaker dependent and independent way, corresponding comparison has been made. For every individual digit, separate HMM has been created. It has been trained many times and tested against every other digit to check the every possibility of recognition/ duplication. Further this system can be used for continuous digit recognition also and one can go for sentence recognition using database like TIMIT.

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