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» Canonical state models for automatic speech recognition
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NIPS
1996
14 years 11 months ago
A Micropower Analog VLSI HMM State Decoder for Wordspotting
We describe the implementation of a hidden Markov model state decoding system, a component for a wordspotting speech recognition system. The key specification for this state decod...
John Lazzaro, John Wawrzynek, Richard Lippmann
ICASSP
2010
IEEE
14 years 10 months ago
Morphology-based and sub-word language modeling for Turkish speech recognition
We explore morphology-based and sub-word language modeling approaches proposed for morphologically rich languages, and evaluate and contrast them for Turkish broadcast news transc...
Hasim Sak, Murat Saraclar, Tunga Güngör
ACSC
2006
IEEE
15 years 3 months ago
On compensating the Mel-frequency cepstral coefficients for noisy speech recognition
This paper describes a novel noise-robust automatic speech recognition (ASR) front-end that employs a combination of Mel-filterbank output compensation and cumulative distribution...
Eric H. C. Choi
SEMCO
2007
IEEE
15 years 4 months ago
Large-Margin Discriminative Training of Hidden Markov Models for Speech Recognition
Discriminative training has been a leading factor for improving automatic speech recognition (ASR) performance over the last decade. The traditional discriminative training, howev...
Dong Yu, Li Deng
73
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INTERSPEECH
2010
14 years 4 months ago
Semi-automated update of automatic transcription system for the Japanese national congress
Update of acoustic and language models is vital to maintain performance of automatic speech recognition (ASR) systems. To alleviate efforts for updating models, we propose a "...
Yuya Akita, Masato Mimura, Graham Neubig, Tatsuya ...