Speech Recognition Using Hidden Markov Model Algorithm |
Author(s): |
| Charmi N Solanki , Silver oak college of Engineering and Technology, Ahmedabad, Gujarat; Mohammed G Vayada, Silver oak college of Engineering and Technology, Ahmedabad, Gujarat |
Keywords: |
| Hidden Markov Model, Mel Frequency Coefficient Cepstrum |
Abstract |
|
Speech recognition applications are becoming more useful nowadays. With growth in the needs for embedded computing and the demand for emerging embedded platforms, it is required that speech recognition systems are available but speech recognition software being closed source cannot be used easily for implementation of speech recognition based devices. Aim To implement English words speech recognition system using Matlab (GUI). This work is based on Hidden Markov Model, which provides a highly reliable way for recognizing speech. Training data such as words like go up, go right, open, close etc. records in audacity open source; the system will test it with data record and display it in edit text box. |
Other Details |
|
Paper ID: IJSRDV3I80546 Published in: Volume : 3, Issue : 8 Publication Date: 01/11/2015 Page(s): 782-784 |
Article Preview |
|
|
|
|
