Speech recognition in parallel

Authors:
Salvatore J. Stolfo;Zvi Galil;Kathleen McKeown;Russell Mills
Affiliations:
Columbia University, New York, N.Y.;Columbia University, New York, N.Y.;Columbia University, New York, N.Y.;Columbia University, New York, N.Y.
Venue:
HLT '89 Proceedings of the workshop on Speech and Natural Language
Year:
1989

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Abstract

Concomitantly with recent advances in speech coding, recognition and production, parallel computer systems are now commonplace delivering raw computing power measured in hundreds of MIPS and Megaflops. It seems inevitable that within the next decade or so, gigaflop parallel processors will be achievable at modest cost. Indeed, gigaflops per cubic foot is now becoming a standard of measure for parallel computers.