Title :
Implementing a simple continuous speech recognition system on an FPGA
Author :
Melnikoff, S.J. ; Quigley, S.F. ; Russell, M.J.
Author_Institution :
Electron., Electr. & Comput. Eng., Univ. of Birmingham, UK
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.
Keywords :
Viterbi decoding; field programmable gate arrays; hidden Markov models; speech recognition; FPGA implementations; Viterbi decoding; Xilinx Virtex XCV1000; continuous hidden Markov models; continuous speech recognition system; monophones; preprocessed speech data; Acceleration; Data mining; Decoding; Dictionaries; Feature extraction; Field programmable gate arrays; Hidden Markov models; Software performance; Speech processing; Speech recognition;
Conference_Titel :
Field-Programmable Custom Computing Machines, 2002. Proceedings. 10th Annual IEEE Symposium on
Print_ISBN :
0-7695-1801-X
DOI :
10.1109/FPGA.2002.1106682
