9th Annual Conference of the International Speech Communication Association

Brisbane, Australia
September 22-26, 2008

Automatic Word Stress Marking and Syllabification for Catalan TTS

Silvia Rustullet, Daniela Braga, João Nogueira, Miguel Sales Dias

Microsoft Language Development Center, Portugal

Stress and syllabification are essential attributes for several components in text-to speech (TTS) systems. They are responsible for improving grapheme-to-phoneme conversion rules and for enhancing the synthetic intelligibility, since stress and syllable are key units in prosody prediction. This paper presents three linguistically rule-based automatic algorithms for Catalan text-to-speech conversion: a word stress marker, an orthographic syllabification algorithm and a phonological syllabification algorithm. The systems were implemented and tested. The results gave rise to the following word accuracy rates: 100% for the stress marker algorithm, 99.7% for the orthographic syllabification algorithm and 99.8% for the phonological syllabification algorithm.

Full Paper

Bibliographic reference.  Rustullet, Silvia / Braga, Daniela / Nogueira, João / Sales Dias, Miguel (2008): "Automatic word stress marking and syllabification for Catalan TTS", In INTERSPEECH-2008, 1889-1892.