Abstract | ||
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This paper describes a low-power VLSI chip for speaker-independent 60-kWord continuous speech recognition based on a context-dependent Hidden Markov Model (HMM). We implement parallel and pipelined architecture for GMM computation and Viterbi processing. It includes a 8-path Viterbi transition architecture to maximize the processing speed and adopts tri-gram language model to improve the recognition accuracy. A two-level cache architecture is implemented for the demo system. The test chip, fabricated in 40 nm CMOS technology, occupies 1.77 mm × 2.18 mm containing 2.98 M transistors for logic and 4.29 Mbit on-chip memory. The measured results show that our implementation achieves 25% required frequency reduction (62.5 MHz) and 26% power consumption reduction (54.8 mW) for 60 k-Word real-time continuous speech recognition compared to the previous work. This chip can maximally process 3.02× and 2.25× times faster than real-time at 200 MHz using the bigram and trigram language models, respectively. |
Year | DOI | Venue |
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2013 | 10.1109/SiPS.2013.6674496 | SiPS |
Keywords | Field | DocType |
cmos integrated circuits,real-time vlsi processor,speech recognition,microprocessor chips,3×,frequency 200 mhz,pipelined architecture,parallel architectures,size 40 nm,hmm,low-power vlsi chip,viterbi transition architecture,tri-gram language,low-power electronics,40 nm vlsi,cmos technology,viterbi processing,bigram language,vlsi,power 54 mw,cache architecture,power 54.8 mw,frequency reduction,continuous speech recognition,hidden markov models,parallel architecture,gmm computation,large vocabulary continuous speech recognition (lvscr),real-time systems,hidden markov model,on-chip memory,power consumption reduction,low power electronics,real time systems | Computer science,Parallel computing,Cache-only memory architecture,Chip,CMOS,Real-time computing,Speech recognition,Bigram,Hidden Markov model,Very-large-scale integration,Viterbi algorithm,Language model | Conference |
ISSN | Citations | PageRank |
2162-3562 | 3 | 0.44 |
References | Authors | |
8 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Guangji He | 1 | 18 | 3.02 |
Yuki Miyamoto | 2 | 3 | 0.44 |
Kumpei Matsuda | 3 | 3 | 0.78 |
Shintaro Izumi | 4 | 82 | 31.56 |
Hiroshi Kawaguchi | 5 | 37 | 21.08 |
Masahiko Yoshimoto | 6 | 3 | 0.44 |