On Design and Implementation of an Embedded Automatic Speech Recognition System

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 alternati...

• Type: Conference
• Year: 2004
• Where: VLSID
• Authors: Sujay Phadke, Rhishikesh Limaye, Siddharth Verma, Kavitha Subramanian
• Keywords: Computer Architecture, Embedded Speech Recognition, Speech Recognition System, VLSID 2004, Vocabulary Speech Recognition