Call For Paper Volume:4 Issue:10 Oct'2017 |

Vocabulary Speech Recognition System Using Word-based CHMM

Publication Date : 10/07/2015

Author(s) :

Ms. Shweta k. Patil , Dr. D.M. Yadav.

Conference Name :
4th International Conference on Recent Trends in Engineering & Technology(ICRTET-2015) July 2-4,2015 Organized by SNJB's KBJ College of Engineering,Chandwad,Nashik,Maharashtra,India

Abstract :

The speech recognition system used in embedded application requires very high recognition accuracy and low-power consumption which we can achieve by implementation of word based continuous hidden Markov models based speech recognition (CHMM) system. This is midsize vocabulary the speech recognition system based on the proposed coprocessor is applicable for the (100–1000 words) recognition tasks. In this paper implementation of custom-designed coprocessor for output probability calculation (OPC) is introduced .It is the most computationintensive processing step in CHMM-based speech recognition algorithms. A polynomial additionbased method is used to compute add-log so that we can reduce the power consumption and save hardware resource. Xilinx Spartan-3A DSP XC3SD3400A is used to implement and test the proposed coprocessor & implementation of entire speech recognition system is done using SAMSUNG S3C44b0X as the micro-controller to execute the rest of speech processing. Above speech recognition system is tested using a 358-state 3-mixture 27-feature 800-word HMM.

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