On Design and Implementation of an Embedded Automatic Speech Recognition System

V
VLSID
2004
17th International Conference on VLSI Design
Abstract - On Design and Implementation of an Embedded Automatic Speech Recognition System

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	Similar Articles Articles by Sujay Phadke Articles by Rhishikesh Limaye Articles by Siddharth Verma Articles by Kavitha Subramanian

17th International Conference on VLSI Design

Mumbai, India

January 05-January 09

ISBN: 0-7695-2072-3

	ASCII Text	x
	Sujay Phadke, Rhishikesh Limaye, Siddharth Verma, Kavitha Subramanian, "On Design and Implementation of an Embedded Automatic Speech Recognition System," VLSI Design, International Conference on, pp. 127, 17th International Conference on VLSI Design, 2004.

	BibTex	x
	@article{ 10.1109/ICVD.2004.1260914, author = {Sujay Phadke and Rhishikesh Limaye and Siddharth Verma and Kavitha Subramanian}, title = {On Design and Implementation of an Embedded Automatic Speech Recognition System}, journal ={VLSI Design, International Conference on}, volume = {0}, year = {2004}, issn = {1063-9667}, pages = {127}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICVD.2004.1260914}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - VLSI Design, International Conference on TI - On Design and Implementation of an Embedded Automatic Speech Recognition System SN - 1063-9667 SP EP A1 - Sujay Phadke, A1 - Rhishikesh Limaye, A1 - Siddharth Verma, A1 - Kavitha Subramanian, PY - 2004 KW - null VL - 0 JA - VLSI Design, International Conference on ER -

Sujay Phadke, Indian Institute of Technology, Bombay

Rhishikesh Limaye, Indian Institute of Technology, Bombay

Siddharth Verma, Indian Institute of Technology, Bombay

Kavitha Subramanian, Indian Institute of Technology, Bombay

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICVD.2004.1260914

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 DSP, 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.

Citation:

Sujay Phadke, Rhishikesh Limaye, Siddharth Verma, Kavitha Subramanian, "On Design and Implementation of an Embedded Automatic Speech Recognition System," vlsid, pp.127, 17th International Conference on VLSI Design, 2004

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