INTERSPEECH 2012
13th Annual Conference of the International Speech Communication Association

Portland, OR, USA
September 9-13, 2012

Using Prominence and Phrasing Predictions to Improve Weighted Dictionary Pronunciation Models

Andrew Rosenberg

Department of Computer Science, Queens College (CUNY), Flushing, NY, USA

Prosody impacts the pronunciation variation of lexical items in a number of ways. Accented syllables tend to be pronounced with their canonical (dictionary) vowel. Deaccented vowels are more likely to be reduced. Coarticulatory influences rarely span intonational phrase boundaries. In this work, we investigate the use of automatically generated prosodic hypotheses to improve a weighted dictionary pronunciation model. We use the phonemically transcribed, Buckeye Corpus for this investigation. We find that predictions of pitch accent and intonational phrase boundaries can be used to lower pronunciation model perplexity.

Index Terms: Pronunciation Modeling, Prosody, Prominence, Phrasing

Full Paper

Bibliographic reference.  Rosenberg, Andrew (2012): "Using prominence and phrasing predictions to improve weighted dictionary pronunciation models", In INTERSPEECH-2012, 2410-2413.