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Implementing a simple continuous speech recognition system on an FPGA

By Stephen Jonathan Melnikoff, Steven Francis Quigley and Martin Russell

Abstract

Speech recognition is a computationally demanding task, particularly the stage which uses Viterbi decoding for converting pre-processed speech data into words or sub-word units. We present an FPGA implementations of the decoder based on continuous hidden Markov models (HMMs) representing monophones, and demonstrate that it can process speech 75 times real time, using 45% of the slices of a Xilinx Virtex XCV100

Topics: TK Electrical engineering. Electronics Nuclear engineering, QA75 Electronic computers. Computer science
Publisher: IEEE
Year: 2002
OAI identifier: oai:eprints.bham.ac.uk:28
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