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    NAACL
    2007
    114views Computational Linguistics» more  NAACL 2007»
    A Geometric Interpretation of Non-Target-Normalized Maximum Cross-Channel Correlation for Vocal Activity Detection in Meetings
    13 years 5 months ago
    A Geometric Interpretation of Non-Target-Normalized Maximum Cross-Channel Correlation for Vocal Activity Detection in Meetings
    Download  www.cs.cmu.edu
    Vocal activity detection is an important technology for both automatic speech recognition and automatic speech understanding. In meetings, standard vocal activity detection algori...
    Kornel Laskowski, Tanja Schultz
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    NAACL
    2007
    80views Computational Linguistics» more  NAACL 2007»
    Virtual Evidence for Training Speech Recognizers Using Partially Labeled Data
    13 years 5 months ago
    Virtual Evidence for Training Speech Recognizers Using Partially Labeled Data
    Download  ssli.ee.washington.edu
    Collecting supervised training data for automatic speech recognition (ASR) systems is both time consuming and expensive. In this paper we use the notion of virtual evidence in a g...
    Amarnag Subramanya, Jeff A. Bilmes
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    NAACL
    2007
    125views Computational Linguistics» more  NAACL 2007»
    Comparing User Simulation Models For Dialog Strategy Learning
    13 years 5 months ago
    Comparing User Simulation Models For Dialog Strategy Learning
    Download  www.cs.pitt.edu
    This paper explores what kind of user simulation model is suitable for developing a training corpus for using Markov Decision Processes (MDPs) to automatically learn dialog strate...
    Hua Ai, Joel R. Tetreault, Diane J. Litman
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    NAACL
    2007
    94views Computational Linguistics» more  NAACL 2007»
    Are Some Speech Recognition Errors Easier to Detect than Others?
    13 years 5 months ago
    Are Some Speech Recognition Errors Easier to Detect than Others?
    Download  acl.ldc.upenn.edu
    This study investigates whether some speech recognition (SR) errors are easier to detect and what patterns can be identified from those errors. Specifically, SR errors were exam...
    Yongmei Shi, Lina Zhou
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    NAACL
    2007
    154views Computational Linguistics» more  NAACL 2007»
    Translation Model Pruning via Usage Statistics for Statistical Machine Translation
    13 years 5 months ago
    Translation Model Pruning via Usage Statistics for Statistical Machine Translation
    Download  acl.ldc.upenn.edu
    We describe a new pruning approach to remove phrase pairs from translation models of statistical machine translation systems. The approach applies the original translation system ...
    Matthias Eck, Stephan Vogel, Alex Waibel
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    NAACL
    2007
    61views Computational Linguistics» more  NAACL 2007»
    Selective Phrase Pair Extraction for Improved Statistical Machine Translation
    13 years 5 months ago
    Selective Phrase Pair Extraction for Improved Statistical Machine Translation
    Download  www.cs.washington.edu
    Luke S. Zettlemoyer, Robert Moore
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    NAACL
    2007
    155views Computational Linguistics» more  NAACL 2007»
    Joint Morphological-Lexical Language Modeling for Machine Translation
    13 years 5 months ago
    Joint Morphological-Lexical Language Modeling for Machine Translation
    Download  acl.ldc.upenn.edu
    We present a joint morphological-lexical language model (JMLLM) for use in statistical machine translation (SMT) of language pairs where one or both of the languages are morpholog...
    Ruhi Sarikaya, Yonggang Deng
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    NAACL
    2007
    102views Computational Linguistics» more  NAACL 2007»
    Situated Models of Meaning for Sports Video Retrieval
    13 years 5 months ago
    Situated Models of Meaning for Sports Video Retrieval
    Download  www.mit.edu
    Situated models of meaning ground words in the non-linguistic context, or situation, to which they refer. Applying such models to sports video retrieval requires learning appropri...
    Michael Fleischman, Deb Roy
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    NAACL
    2007
    72views Computational Linguistics» more  NAACL 2007»
    Hybrid Document Indexing with Spectral Embedding
    13 years 5 months ago
    Hybrid Document Indexing with Spectral Embedding
    Download  people.cs.uchicago.edu
    Irina Matveeva, Gina-Anne Levow
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    NAACL
    2007
    79views Computational Linguistics» more  NAACL 2007»
    Joint Versus Independent Phonological Feature Models within CRF Phone Recognition
    13 years 5 months ago
    Joint Versus Independent Phonological Feature Models within CRF Phone Recognition
    Download  www.ling.ohio-state.edu
    We compare the effect of joint modeling of phonological features to independent feature detectors in a Conditional Random Fields framework. Joint modeling of features is achieved ...
    Ilana Bromberg, Jeremy Morris, Eric Fosler-Lussier
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