NDLI: On design and implementation of an embedded automatic speech recognition system

Content Provider	IEEE Xplore Digital Library
Author	Phadke, S. Limaye, R. Verma, S. Subramanian, K.
Copyright Year	2004
Description	Author affiliation: Dept. of Electr. Eng., Indian Inst. of Technol., Mumbai, India (Phadke, S.; Limaye, R.; Verma, S.; Subramanian, K.)
Abstract	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.
Sponsorship	VLSI Soc. of India Minist. of Inf. and Commun. Technol., Gov. of India IEEE Electron Devices Soc. IEEE Circuits and Syst. Soc. Tata Consultancy Services Texas Instruments Inc. Nat. Semiconductor Intel Synopsys Cypress Semiconductor Corp. Infineon Technol. Cadence Conexant
Starting Page	127
Ending Page	132
File Size	364589
Page Count	6
File Format	PDF
ISBN	0769520723
DOI	10.1109/ICVD.2004.1260914
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-01-09
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Automatic speech recognition Digital signal processing Hardware Speech recognition Software design Mel frequency cepstral coefficient Vocabulary Feature extraction Cepstral analysis Random access memory
Content Type	Text
Resource Type	Article

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