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» On efficient Viterbi decoding for hidden semi-Markov models
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NAACL
1994
13 years 9 months ago
A One Pass Decoder Design For Large Vocabulary Recognition
To achieve reasonable accuracy in large vocabulary speech recognition systems, it is important to use detailed acoustic models together with good long span language models. For ex...
J. J. Odell, V. Valtchev, Philip C. Woodland, S. J...
IEEEPACT
2005
IEEE
14 years 2 months ago
Exploiting Coarse-Grained Parallelism to Accelerate Protein Motif Finding with a Network Processor
While general-purpose processors have only recently employed chip multiprocessor (CMP) architectures, network processors (NPs) have used heterogeneous multi-core architectures sin...
Ben Wun, Jeremy Buhler, Patrick Crowley
CIKM
2007
Springer
14 years 15 days ago
A segment-based hidden markov model for real-setting pinyin-to-chinese conversion
Hidden markov model (HMM) is frequently used for Pinyin-toChinese conversion. But it only captures the dependency with the preceding character. Higher order markov models can brin...
Xiaohua Zhou, Xiaohua Hu, Xiaodan Zhang, Xiajiong ...
CSL
2000
Springer
13 years 8 months ago
Efficient speech recognition using subvector quantization and discrete-mixture HMMS
This paper introduces a new form of observation distributions for hidden Markov models (HMMs), combining subvector quantization and mixtures of discrete distrib utions. Despite w...
Vassilios Digalakis, S. Tsakalidis, Costas Harizak...
ICASSP
2009
IEEE
13 years 6 months ago
VLSI for 5000-word continuous speech recognition
We have developed a VLSI chip for 5,000 word speakerindependent continuous speech recognition. This chip employs a context-dependent HMM (hidden Markov model) based speech recogni...
Young-kyu Choi, Kisun You, Jungwook Choi, Wonyong ...