Probabilistic segmentation for segment-based speech recognition

@inproceedings{Lee1998ProbabilisticSF,
  title={Probabilistic segmentation for segment-based speech recognition},
  author={Steven C. Lee},
  year={1998}
}
Segment-based speech recognition systems must explicitly hypothesize segment start and end times. The purpose of a segmentation algorithm is to hypothesize those times and to compose a graph of segments from them. During recognition, this graph is an input to a search that finds the optimal sequence of sound units through the graph. The goal of this thesis is to create a high-quality, real-time phonetic segmentation algorithm for segment-based speech recognition. A high-quality segmentation… CONTINUE READING

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A probabilistic framework for landmark detection based on phonetic features for automatic speech recognition.

  • The Journal of the Acoustical Society of America
  • 2008
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Broad phonetic class segmentation study for Thai automatic speech recognition

  • 2012 9th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology
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