Implementing a Simple Continuous Speech Recognition System on an FPGA

F
FCCM
2002
10th Annual IEEE Symposium on Field-Programmable Custom Computing Machines (FCCM'02)
Abstract - Implementing a Simple Continuous Speech Recognition System on an FPGA

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10th Annual IEEE Symposium on Field-Programmable Custom Computing Machines (FCCM'02)

Implementing a Simple Continuous Speech Recognition System on an FPGA (PDF)

Napa, California

September 22-September 24

ISBN: 0-7695-1801-X

	ASCII Text	x
	S. J. Melnikoff, S. F. Quigley, M. J. Russell, "Implementing a Simple Continuous Speech Recognition System on an FPGA," Field-Programmable Custom Computing Machines, Annual IEEE Symposium on, pp. 275, 10th Annual IEEE Symposium on Field-Programmable Custom Computing Machines (FCCM'02), 2002.

	BibTex	x
	@article{ 10.1109/FPGA.2002.1106682, author = {S. J. Melnikoff and S. F. Quigley and M. J. Russell}, title = {Implementing a Simple Continuous Speech Recognition System on an FPGA}, journal ={Field-Programmable Custom Computing Machines, Annual IEEE Symposium on}, volume = {0}, year = {2002}, issn = {1082-3409}, pages = {275}, doi = {http://doi.ieeecomputersociety.org/10.1109/FPGA.2002.1106682}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Field-Programmable Custom Computing Machines, Annual IEEE Symposium on TI - Implementing a Simple Continuous Speech Recognition System on an FPGA SN - 1082-3409 SP EP A1 - S. J. Melnikoff, A1 - S. F. Quigley, A1 - M. J. Russell, PY - 2002 KW - null VL - 0 JA - Field-Programmable Custom Computing Machines, Annual IEEE Symposium on ER -

S. J. Melnikoff, University of Birmingham

S. F. Quigley, University of Birmingham

M. J. Russell, University of Birmingham

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/FPGA.2002.1106682

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.

Citation:

S. J. Melnikoff, S. F. Quigley, M. J. Russell, "Implementing a Simple Continuous Speech Recognition System on an FPGA," fccm, pp.275, 10th Annual IEEE Symposium on Field-Programmable Custom Computing Machines (FCCM'02), 2002

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