A Minimum Boundary Error Framework for Automatic Phonetic Segmentation

@inproceedings{Kuo2006AMB,
  title={A Minimum Boundary Error Framework for Automatic Phonetic Segmentation},
  author={Jen-wei Kuo and Hsin-Min Wang},
  booktitle={ISCSLP},
  year={2006}
}
This paper presents a novel framework for HMM-based automatic phonetic segmentation that improves the accuracy of placing phone boundaries. In the framework, both training and segmentation approaches are proposed according to the minimum boundary error (MBE) criterion, which tries to minimize the expected boundary errors over a set of possible phonetic alignments. This framework is inspired by the recently proposed minimum phone error (MPE) training approach and the minimum Bayes risk decoding… CONTINUE READING