Title :
Improving intonational phrasing with syntactic information
Author :
Koehn, Philipp ; Abney, Steven ; Hirschberg, Julia ; Collins, Michael
Author_Institution :
AT&T Res., Florham Park, NJ, USA
Abstract :
The prediction of intonational phrase boundaries from raw text is an important step for a text-to-speech system: locating where to place short pauses enables more natural sounding speech, that can be more easily understood. We improved upon earlier work [Hirschberg and Prieto, 1996] by adding syntactic information gained from a high-accuracy parser [Collins, 1999]. We report significant improvement using various experimental setups. We also show that our improved method comes close to interannotator agreement
Keywords :
speech synthesis; high-accuracy parser; interannotator agreement; intonational phrase boundaries; intonational phrasing; natural sounding speech; prediction; raw text; syntactic information; text-to-speech system; Decision trees; Machine learning; Magnetic heads; Natural languages; Neural networks; Speech synthesis; Testing;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on
Conference_Location :
Istanbul
Print_ISBN :
0-7803-6293-4
DOI :
10.1109/ICASSP.2000.861813
