Mel Frequency Cepstral Coefficient (MFCC) extraction for speaker identification on FPGA
Organized by School of Mechatronic Engineering (UniMAP) & co-organized by The Institution of Engineering Malaysia (IEM), 11th - 13th October 2009 at Batu Feringhi, Penang, Malaysia.
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Universiti Malaysia Perlis
2009
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my.unimap-73262009-11-18T03:06:54Z Mel Frequency Cepstral Coefficient (MFCC) extraction for speaker identification on FPGA Phak Len, Eh Kan Rafikha Aliana, Raof Ahmad Nasir, Che Rosli Razaidi, Hussin phaklen@unimap.edu.my Speech recognition Speech processing systems Automatic speech recognition Pattern perception Speaker recognition Speech processing Organized by School of Mechatronic Engineering (UniMAP) & co-organized by The Institution of Engineering Malaysia (IEM), 11th - 13th October 2009 at Batu Feringhi, Penang, Malaysia. Feature extraction of speech is one of the most important issues in the field of speech recognition and representative of the speech. Mel Frequency Cepstral Coefficient (MFCC) is one the most important features required among various kinds of speech application. In this paper, FPGA-based for speech features extraction MFCC algorithm is proposed. The complexities of computational as well as requirement of memory usage are characterized, analyzed, and improved enormously. Look-up table scheme is used to deal with the elementary function value in the MFCC algorithm and fixed-point arithmetic is implemented to reduce the cost under accuracy study. The final feature extraction design is implemented effectively into the FPGA-Xilinx Virtex2 XC2V6000 FF1157-4 platform. 2009-11-18T03:06:54Z 2009-11-18T03:06:54Z 2009-10-11 Working Paper p.4A6 1 - 4A6 5 http://hdl.handle.net/123456789/7326 en Proceedings of the International Conference on Man-Machine Systems (ICoMMS 2009) Universiti Malaysia Perlis |
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Speech recognition Speech processing systems Automatic speech recognition Pattern perception Speaker recognition Speech processing |
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Speech recognition Speech processing systems Automatic speech recognition Pattern perception Speaker recognition Speech processing Phak Len, Eh Kan Rafikha Aliana, Raof Ahmad Nasir, Che Rosli Razaidi, Hussin Mel Frequency Cepstral Coefficient (MFCC) extraction for speaker identification on FPGA |
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Organized by School of Mechatronic Engineering (UniMAP) & co-organized by The Institution of Engineering Malaysia (IEM), 11th - 13th October 2009 at Batu Feringhi, Penang, Malaysia. |
author2 |
phaklen@unimap.edu.my |
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phaklen@unimap.edu.my Phak Len, Eh Kan Rafikha Aliana, Raof Ahmad Nasir, Che Rosli Razaidi, Hussin |
format |
Working Paper |
author |
Phak Len, Eh Kan Rafikha Aliana, Raof Ahmad Nasir, Che Rosli Razaidi, Hussin |
author_sort |
Phak Len, Eh Kan |
title |
Mel Frequency Cepstral Coefficient (MFCC) extraction for speaker identification on FPGA |
title_short |
Mel Frequency Cepstral Coefficient (MFCC) extraction for speaker identification on FPGA |
title_full |
Mel Frequency Cepstral Coefficient (MFCC) extraction for speaker identification on FPGA |
title_fullStr |
Mel Frequency Cepstral Coefficient (MFCC) extraction for speaker identification on FPGA |
title_full_unstemmed |
Mel Frequency Cepstral Coefficient (MFCC) extraction for speaker identification on FPGA |
title_sort |
mel frequency cepstral coefficient (mfcc) extraction for speaker identification on fpga |
publisher |
Universiti Malaysia Perlis |
publishDate |
2009 |
url |
http://dspace.unimap.edu.my/xmlui/handle/123456789/7326 |
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1643788778326720512 |