Assessing agreement level between forced alignment models with data from endangered language documentation corpora

@inproceedings{DiCanio2012AssessingAL,
  title={Assessing agreement level between forced alignment models with data from endangered language documentation corpora},
  author={Christian DiCanio and Hosung Nam and Douglas H. Whalen and H. Timothy Bunnell and Jonathan D. Amith and Rey Castillo Garc{\'i}a},
  booktitle={INTERSPEECH},
  year={2012}
}
Automatic forced alignment between transcriptions has achieved high levels of agreement for languages with large corpora, but the technique holds great promise for work on all languages. Here, we apply two forced alignment programs to data from an endangered Mixtecan language of Mexico. Both yielded a majority of boundaries within 20 ms of hand-labeled ones. Phonemes with fairly steady-state elements (e.g. nasals, fricatives) were more accurately labeled than others. Forced alignment thus may… CONTINUE READING

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