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    SPEECH
    2008
    203views more  SPEECH 2008»
    A comparison of grapheme and phoneme-based units for Spanish spoken term detection
    13 years 10 months ago
    A comparison of grapheme and phoneme-based units for Spanish spoken term detection
    Download  homepages.inf.ed.ac.uk
    The ever-increasing volume of audio data available online through the world wide web means that automatic methods for indexing and search are becoming essential. Hidden Markov mod...
    Javier Tejedor, Dong Wang, Joe Frankel, Simon King...
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    TASLP
    2010
    157views more  TASLP 2010»
    HMM-Based Reconstruction of Unreliable Spectrographic Data for Noise Robust Speech Recognition
    13 years 5 months ago
    HMM-Based Reconstruction of Unreliable Spectrographic Data for Noise Robust Speech Recognition
    Download  www.ee.ucla.edu
    This paper presents a framework for efficient HMM-based estimation of unreliable spectrographic speech data. It discusses the role of Hidden Markov Models (HMMs) during minimum mea...
    Bengt J. Borgstrom, Abeer Alwan
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    WWW
    2009
    ACM
    209views Internet Technology» more  WWW 2009»
    Incorporating site-level knowledge to extract structured data from web forums
    14 years 11 months ago
    Incorporating site-level knowledge to extract structured data from web forums
    Download  www2009.eprints.org
    Web forums have become an important data resource for many web applications, but extracting structured data from unstructured web forum pages is still a challenging task due to bo...
    Jiang-Ming Yang, Rui Cai, Yida Wang, Jun Zhu, Lei ...
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    BMCBI
    2010
    229views more  BMCBI 2010»
    Mocapy++ - A toolkit for inference and learning in dynamic Bayesian networks
    13 years 11 months ago
    Mocapy++ - A toolkit for inference and learning in dynamic Bayesian networks
    Download  www.biomedcentral.com
    Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
    Martin Paluszewski, Thomas Hamelryck
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    BMCBI
    2007
    115views more  BMCBI 2007»
    A novel, fast, HMM-with-Duration implementation - for application with a new, pattern recognition informed, nanopore detector
    13 years 11 months ago
    A novel, fast, HMM-with-Duration implementation - for application with a new, pattern recognition informed, nanopore detector
    Download  www.biomedcentral.com
    Background: Hidden Markov Models (HMMs) provide an excellent means for structure identification and feature extraction on stochastic sequential data. An HMM-with-Duration (HMMwD) ...
    Stephen Winters-Hilt, Carl Baribault
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