• Ensemble methods in large vocabulary continuous speech recognition 

    Chen, Xin, 1983- (University of Missouri--Columbia, 2008)
    Combining a group of classifiers and therefore improving the overall classification performance is a young and promising direction in Large Vocabulary Continuous Speech Recognition (LVCSR). Previous works on acoustic ...
  • An exploration of composite language modeling for speech recognition 

    Xie, Xiaolin (University of Missouri--Columbia, 2013)
    Language models are one of the most critical knowledge sources of automatic speech recognition (ASR) systems. In the past decades, many language models have been developed, and some have proved useful and successful in ...
  • Language modeling for automatic speech recognition in telehealth 

    Zhang, Xiaojia, 1977- (University of Missouri--Columbia, 2005)
    Standard statistic n-gram language models play a critical and indispensable role in automatic speech recognition (ASR) applications. Though helpful to ASR, it suffers from a practical problem when lacking sufficient in-domain ...
  • Towards deep learning on speech recognition for Khmer language 

    Lim, Chanmann (University of Missouri--Columbia, 2016)
    In order to perform speech recognition well, a huge amount of transcribed speech and textual data in the target language must be available for system training. The high demand for language resources constrains the development ...