Segmentation and modeling in segment-based recognition

@inproceedings{Chang1997SegmentationAM,
  title={Segmentation and modeling in segment-based recognition},
  author={Jane W. Chang and James R. Glass},
  booktitle={EUROSPEECH},
  year={1997}
}
Recently, we have developed a probabilistic framework for segmentbased speech recognition that represents the speech signal as a network of segments and associated feature vectors [2]. Although in general, each path through the network does not traverse all segments, we argued that each path must account for all feature vectors in the network. We then demonstrated an efficient search algorithm that uses a single additional model to account for segments that are not traversed. In this paper, we… CONTINUE READING

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