DocumentCode :
2312759
Title :
A VLSI grammar processing subsystem for a real time large vocabulary continuous speech recognition system
Author :
Chen, D. ; Yu, R. ; Rabaey, J. ; Brodersen, R.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA
fYear :
1990
fDate :
13-16 May 1990
Abstract :
The architecture and implementation of a grammar processing subsystem for a large vocabulary, real-time, continuous speech recognition system are summarized. This subsystem contains two custom VLSI chips which perform the evaluation of starting word probabilities associated with the across-word transitions in the hidden-Markov-model-based speech recognition system. This system has a maximum computation rate of 200 MOPS and an I/O bandwidth of 265 Mbyte/s. The recognized sentence is the sentence with the highest combined acoustic and language model probabilities
Keywords :
CMOS integrated circuits; VLSI; digital signal processing chips; real-time systems; speech analysis and processing; speech recognition; 265 Mbyte/s; CMOS; I/O bandwidth of 265 Mbyte/s; across-word transitions; architecture; computation rate; custom VLSI chips; evaluation of starting word probabilities; grammar processing subsystem; hidden-Markov-model-based speech recognition system; implementation; large vocabulary continuous speech recognition system; real-time speech recognition system; Application specific integrated circuits; Hidden Markov models; Probability; Real time systems; Speech processing; Speech recognition; Text processing; Very large scale integration; Vocabulary;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Custom Integrated Circuits Conference, 1990., Proceedings of the IEEE 1990
Conference_Location :
Boston, MA
Type :
conf
DOI :
10.1109/CICC.1990.124726
Filename :
124726
Link To Document :
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