13th Annual Conference of the International Speech Communication Association

Portland, OR, USA
September 9-13, 2012

Automatic Transcription of Lecture Speech using Language Model Based on Speaking- Style Transformation of Proceeding Texts

Yuya Akita, Makoto Watanabe, Tatsuya Kawahara

School of Informatics, Kyoto University, Sakyo-ku, Kyoto, Japan

For language modeling of spontaneous speech recognition, we propose a style transformation approach, which transforms written texts to a spoken-style language model. Since these two styles are largely different and thus direct transformation is difficult, we cascade two transformation methods; rule-based transformation to rewrite written-style texts to intermediate polite-style texts, and statistical transformation of language model from polite style to faithful style which is suitable for ASR. In an experimental evaluation on real lecture speech, the proposed transformation approach realized higher performance than conventional linear interpolation method.

Index Terms: automatic speech recognition, lecture speech, language model, style transformation

Full Paper

Bibliographic reference.  Akita, Yuya / Watanabe, Makoto / Kawahara, Tatsuya (2012): "Automatic transcription of lecture speech using language model based on speaking- style transformation of proceeding texts", In INTERSPEECH-2012, 2326-2329.