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On design and implementation of an Embedded automatic speech recognition system

DSpace at IIT Bombay

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Title On design and implementation of an Embedded automatic speech recognition system
 
Creator PHADKE, S
LIMAYE, R
VERMA, S
SUBRAMANIAN, K
 
Description We present a new design of an Embedded Speech Recognition System. It combines the aspects of both hardware and software design to implement a speaker dependent, isolated word, small vocabulary speech recognition system. The feature extraction is based on modified Mel-scaled Frequency Cepstral Coefficients (MFCC) and template matching employs Dynamic Time Warping (DTW). A novel algorithm has been used to improve the detection of start of a word. The hardware is built around the industry standard TMS320LF2407A DSP. The board is designed to serve as a general purpose DSP development board for the 24X series of TI DSPs. It contains, apart from the DSR the external SRAM, FLASH, ADC interface, I/O interfacing blocks and JTAG interface. Both the hardware and the software have been designed concurrently, with a view to achieve high-speed recognition with maximum accuracy in minimum power and making the device portable. The proposed solution is a low-cost, high-performance, scalable alternative to other existing products.
 
Publisher IEEE COMPUTER SOC
 
Date 2011-10-26T17:13:31Z
2011-12-15T09:12:25Z
2011-10-26T17:13:31Z
2011-12-15T09:12:25Z
2004
 
Type Proceedings Paper
 
Identifier 17TH INTERNATIONAL CONFERENCE ON VLSI DESIGN, PROCEEDINGS: DESIGN METHODOLOGIES FOR THE GIGASCALE ERA,127-132
0-7695-2072-3
http://dspace.library.iitb.ac.in/xmlui/handle/10054/16070
http://hdl.handle.net/100/2660
 
Source 17th International Conference on VLSI Design,Mumbai, INDIA,JAN 05-09, 2004
 
Language English