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» Canonical state models for automatic speech recognition

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ICASSP
2008
IEEE

133views Signal Processing» more ICASSP 2008»

Rhetorical-State Hidden Markov Models for extractive speech summarization

15 years 4 months ago

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We propose an extractive summarization system with a novel non-generative probabilistic framework for speech summarization. One of the most underutilized features in extractive su...

Pascale Fung, Ricky Ho Yin Chan, Justin Jian Zhang

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ICPR
2000
IEEE

215views computer vision» more ICPR 2000»

A Markov Random Field Model for Automatic Speech Recognition

15 years 10 months ago

Download www.tsi.enst.fr

Speech can be represented as a time/frequency distribution of energy using a multi-band filter bank. A Markov random field model, which takes into account the possible time asynch...

Gérard Chollet, Guillaume Gravier, Marc Sig...

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EMNLP
2007

133views Natural Language Processing» more EMNLP 2007»

Learning Structured Models for Phone Recognition

14 years 11 months ago

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We present a maximally streamlined approach to learning HMM-based acoustic models for automatic speech recognition. In our approach, an initial monophone HMM is iteratively reﬁn...

Slav Petrov, Adam Pauls, Dan Klein

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CORR
2000
Springer

81views Education» more CORR 2000»

Dialogue Act Modeling for Automatic Tagging and Recognition of Conversational Speech

14 years 9 months ago