From segmentation bootstrapping to transcription-to-word conversion

Reichel, Uwe D. (2013): From segmentation bootstrapping to transcription-to-word conversion. Interspeech, Lyon, 25. - 29. August 2013. Proc. Interspeech. pp. 1443-1447

Abstract

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%.

• Item Type: Conference or Workshop Item (Paper)
• Form of publication: Postprint
• Keywords: segmentation, bootstrap, distributional learning, subtractive learning, alignment
• Faculties: Languages and Literatures > Department 2 > Speech Science
• Subjects: 400 Language > 410 Linguistics
• Language: English