Word segmentation through cross-lingual word-to-phoneme alignment

Abstract

We present our new alignment model Model 3P for cross-lingual word-to-phoneme alignment, and show that unsupervised learning of word segmentation is more accurate when information of another language is used. Word segmentation with cross-lingual information is highly relevant to bootstrap pronunciation dictionaries from audio data for Automatic Speech… (More)
DOI: 10.1109/SLT.2012.6424202

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@article{Stahlberg2012WordST, title={Word segmentation through cross-lingual word-to-phoneme alignment}, author={Felix Stahlberg and Tim Schlippe and Stephan Vogel and Tanja Schultz}, journal={2012 IEEE Spoken Language Technology Workshop (SLT)}, year={2012}, pages={85-90} }