Data-Parallel Large Vocabulary Continuous Speech Recognition on Graphics Processors

  title={Data-Parallel Large Vocabulary Continuous Speech Recognition on Graphics Processors},
  author={Jike Chong and Youngmin Yi and Arlo Faria and Nadathur Satish and Kurt Keutzer},
Automatic speech recognition is a key technology for enabling rich human-computer interaction in emerging applications. Hidden Markov Model (HMM) based recognition approaches are widely used for modeling the human speech process by constructing probabilistic estimates of the underlying word sequence from an acoustic signal. High-accuracy speech recognition, however, requires complex models, large vocabulary sizes, and exploration of a very large search space, making the computation too intense… CONTINUE READING
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Spoken Language Processing: A Guide to Theory, Algorithm and System Development

  • X. Huang, A. Acero, H.-W. Hon
  • 2001
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