Implementing a Simple Continuous Speech Recognition System on an FPGA

Stephen Melnikoff, Steven Quigley, Martin Russell

Research output: Contribution to conference (unpublished)Paperpeer-review

37 Citations (Scopus)
429 Downloads (Pure)

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 XCV1000
Original languageEnglish
Pages275-276
Number of pages2
Publication statusPublished - 1 Jan 2002
EventIEEE Symposium on Field Programmable Custom Computing Machines -
Duration: 1 Jan 2002 → …

Conference

ConferenceIEEE Symposium on Field Programmable Custom Computing Machines
Period1/01/02 → …

Bibliographical note

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