ISCA Archive Interspeech 2013
ISCA Archive Interspeech 2013

From segmentation bootstrapping to transcription-to-word conversion

Uwe D. Reichel

The mapping of a raw phonetic transcription to an orthographic word sequence is carried out in three steps: First, a syllable segmentation of the transcription is bootstrapped, based on unsupervised subtractive learning. Then, the syllables are grouped to word entities guided by non-linguistic distributional properties. Finally, the phonetic word segmentations are mapped onto entries of a canonic pronunciation dictionary by means of a co-occurrence based aligner. For syllable segmentation accuracies between 89 and 96% are obtained, and for word segmentation accuracies between 92 and 98%. The transcription to word conversion performance amounts 77%.


doi: 10.21437/Interspeech.2013-376

Cite as: Reichel, U.D. (2013) From segmentation bootstrapping to transcription-to-word conversion. Proc. Interspeech 2013, 1443-1447, doi: 10.21437/Interspeech.2013-376

@inproceedings{reichel13b_interspeech,
  author={Uwe D. Reichel},
  title={{From segmentation bootstrapping to transcription-to-word conversion}},
  year=2013,
  booktitle={Proc. Interspeech 2013},
  pages={1443--1447},
  doi={10.21437/Interspeech.2013-376}
}