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Implementing a Hidden Markov Model Speech Recognition System in Programmable Logic

Melnikoff, Stephen Jonathan and Quigley, Steven Francis and Russell, Martin (2001) Implementing a Hidden Markov Model Speech Recognition System in Programmable Logic. In: Field-Programmable Logic and Applications, 11th International Conference, FPL 2001. Proceedings. Lecture Notes in Computer Science (2147). Springer Verlag, pp. 81-90. ISBN Series ISSN 0302-9743

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URL of Published Version: http://www.springerlink.com/content/u4hypwf0bnhfc76d

Performing Viterbi decoding for continuous real-time speech recognition is a highly computationally-demanding task, but is one which can take good advantage of a parallel processing architecture. To this end, we describe a system which uses an FPGA for the decoding and a PC for pre- and post-processing, taking advantage of the properties of this kind of programmable logic device, specifically its ability to perform in parallel the large number of additions and comparisons required. We compare the performance of the FPGA decoder to a software equivalent, and discuss issues related to this implementation.

Type of Work:Book Section
Date:2001 (Publication)
School/Faculty:Schools (1998 to 2008) > School of Engineering
Department:Electronic, Electrical and Computer Engineering
Additional Information:

The original publication is available at www.springerlink.com

Subjects:TK Electrical engineering. Electronics Nuclear engineering
QA75 Electronic computers. Computer science
Institution:University of Birmingham
Copyright Holders:Springer
ID Code:25
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