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» Continuous speech recognition with a TF-IDF acoustic model
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ICPR
2008
IEEE
14 years 8 months ago
A phone-viseme dynamic Bayesian network for audio-visual automatic speech recognition
This work extends and improves a recently introduced (Dec. 2007) dynamic Bayesian network (DBN) based audio-visual automatic speech recognition (AVASR) system. That system models ...
Louis H. Terry, Aggelos K. Katsaggelos
SEMCO
2007
IEEE
14 years 1 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
ICASSP
2010
IEEE
13 years 7 months ago
Investigations on ensemble based unsupervised adaptation methods
We have previously proposed unsupervised cross-validation (CV) adaptation that introduces CV into an iterative unsupervised batch mode adaptation framework to suppress the influe...
Yu Kubota, Takahiro Shinozaki, Sadaoki Furui
CICLING
2004
Springer
14 years 23 days ago
Experiments on the Construction of a Phonetically Balanced Corpus from the Web
The construction of a speech recognition system requires a recorded set of phrases to compute the pertinent acoustic models. This set of phrases must be phonetically rich and balan...
Luis Villaseñor Pineda, Manuel Montes-y-G&o...
MLMI
2007
Springer
14 years 1 months ago
Modeling Vocal Interaction for Segmentation in Meeting Recognition
Automatic segmentation is an important technology for both automatic speech recognition and automatic speech understanding. In meetings, participants typically vocalize for only a ...
Kornel Laskowski, Tanja Schultz