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| Field | Value |
| Title | On design and implementation of an Embedded automatic speech recognition system |
| Names |
PHADKE, S
LIMAYE, R VERMA, S SUBRAMANIAN, K |
| Date Issued | 2004 (iso8601) |
| 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 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. |
| Genre | Proceedings Paper |
| Identifier | 17TH INTERNATIONAL CONFERENCE ON VLSI DESIGN, PROCEEDINGS: DESIGN METHODOLOGIES FOR THE GIGASCALE ERA,127-132 |