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    » Canonical state models for automatic speech recognition
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    LREC
    2008
    146views Education» more  LREC 2008»
    On the Use of Web Resources and Natural Language Processing Techniques to Improve Automatic Speech Recognition Systems
    14 years 11 months ago
    On the Use of Web Resources and Natural Language Processing Techniques to Improve Automatic Speech Recognition Systems
    Download  www.lrec-conf.org
    Language models used in current automatic speech recognition systems are trained on general-purpose corpora and are therefore not relevant to transcribe spoken documents dealing w...
    Gwénolé Lecorvé, Guillaume Gr...
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    FLAIRS
    2006
    127views Artificial Intelligence» more  FLAIRS 2006»
    An Empirical Exploration of Hidden Markov Models: From Spelling Recognition to Speech Recognition
    14 years 11 months ago
    An Empirical Exploration of Hidden Markov Models: From Spelling Recognition to Speech Recognition
    Download  csci.biola.edu
    Hidden Markov models play a critical role in the modelling and problem solving of important AI tasks such as speech recognition and natural language processing. However, the stude...
    Shieu-Hong Lin
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    INTERSPEECH
    2010
    140views Signal Processing» more  INTERSPEECH 2010»
    An improved wavelet-based dereverberation for robust automatic speech recognition
    14 years 4 months ago
    An improved wavelet-based dereverberation for robust automatic speech recognition
    Download  www.ar.media.kyoto-u.ac.jp
    This paper presents an improved wavelet-based dereverberation method for automatic speech recognition (ASR). Dereverberation is based on filtering reverberant wavelet coefficients...
    Randy Gomez, Tatsuya Kawahara
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    ACL
    2007
    111views Computational Linguistics» more  ACL 2007»
    WordNet-based Semantic Relatedness Measures in Automatic Speech Recognition for Meetings
    14 years 11 months ago
    WordNet-based Semantic Relatedness Measures in Automatic Speech Recognition for Meetings
    Download  userver.ftw.at
    This paper presents the application of WordNet-based semantic relatedness measures to Automatic Speech Recognition (ASR) in multi-party meetings. Different word-utterance context ...
    Michael Pucher
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    ICML
    2009
    IEEE
    226views Machine Learning» more  ICML 2009»
    Large margin training for hidden Markov models with partially observed states
    15 years 10 months ago
    Large margin training for hidden Markov models with partially observed states
    Download  webia.lip6.fr
    Large margin learning of Continuous Density HMMs with a partially labeled dataset has been extensively studied in the speech and handwriting recognition fields. Yet due to the non...
    Thierry Artières, Trinh Minh Tri Do
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