We have been developing a reliable method for prosodic word boundary detection for Japanese continuous speech based on the discrete hidden Markov modeling of fundamental frequency (F0 ) contours in mora unit. Although a favorable result was obtained for ATR continuous speech corpus as reported already, experiments were done only on closed conditions. This paper reports the results on open and speaker-independent cases using database by two speakers. On average, detection rate reached around 76.0% with insertion error rate of 18.4%. Degradation from the closed condition experiment was only a little, showing the validity of the method for open conditions.
Cite as: Iwano, K. (1999) Prosodic word boundary detection using mora transition modeling of fundamental frequency contours -speaker independent experiments-. Proc. 6th European Conference on Speech Communication and Technology (Eurospeech 1999), 231-234, doi: 10.21437/Eurospeech.1999-61
@inproceedings{iwano99_eurospeech,
author={Koji Iwano},
title={{Prosodic word boundary detection using mora transition modeling of fundamental frequency contours -speaker independent experiments-}},
year=1999,
booktitle={Proc. 6th European Conference on Speech Communication and Technology (Eurospeech 1999)},
pages={231--234},
doi={10.21437/Eurospeech.1999-61}
}