Cancellation of Noise from Speech Signal using Voice Activity Detection Method on FPGA |
Author(s): |
| Prof. Kinnar G. Vaghela , GEC, Modasa, Gujarat, India; Prof. Anil J. Kshatriya, VGEC, Chandkheda, Gujarat, India; Mr. Pratik P. Shah, VGEC, Chandkheda, Gujarat, India |
Keywords: |
| VAD, FPGA, DSP processors, speech signal. |
Abstract |
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Speech Enhancement by suppressing uncorrelated acoustically added noise has been a challenging topic of research for many years. These are the primary choice for real time applications due to the simplicity and comparatively low computational load. This paper shows VAD (Voice activity detection) technique that can detect the non speech segment from the speech signal. It is also shown that it can work powerfully in an unpredictable noise ambience. The technique is mostly done in microprocessors or DSP processors because of their flexibility. But there are several advantages of FPGA over DSP processors like high cost per logic element related to these processors makes them improper for large scale use. From the experimental results, VAD method is implemented on the FPGA chip. |
Other Details |
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Paper ID: IJSRDV1I3060 Published in: Volume : 1, Issue : 3 Publication Date: 01/06/2013 Page(s): 638-641 |
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