EUROSPEECH 2001 Scandinavia
7th European Conference on Speech Communication and Technology
2nd INTERSPEECH Event

Aalborg, Denmark
September 3-7, 2001

                 

Intonational Phrase Break Prediction Using Decision Tree and N-Gram Model

Xuejing Sun (1), Ted H. Applebaum (2)

(1) Northwestern University, USA
(2) Panasonic Speech Technology Laboratory, USA

In the current study, we propose and evaluate a new method for automatic intonational phrase break prediction based on sequences of parts-of-speech and word junctures. The proposed method uses decision trees to estimate the probability of a word juncture type (break or nonbreak) given a finite length window of part-of-speech values, and uses an n-gram to model the word juncture sequence. Trained on an 8,000 word database, our algorithm predicted breaks with F=77% and nonbreaks with F=93%, which represents a significant improvement over the commonly used approach, which uses decision trees alone.

Full Paper

Bibliographic reference.  Sun, Xuejing / Applebaum, Ted H. (2001): "Intonational phrase break prediction using decision tree and n-gram model", In EUROSPEECH-2001, 537-540.