Automatic Discrimination of Soft Voice Onset Using Acoustic Features of Breathy Voicing

Keiko Ochi, Koichi Mori, Naomi Sakai, Nobutaka Ono


Soft onset vocalization is used in certain speech therapies. However, it is not easy to practice it at home because the acoustical evaluation itself needs training. It would be helpful for speech patients to get objective feedback during training. In this paper, new parameters for identifying soft onset with high accuracy are described. One of the parameters measures an aspect of the soft voice onset, in which the vocal folds start to oscillate periodically before coming in contact with each other at the beginning of vocalization. Combined with an onset time exceeding a threshold, the proposed parameters gave about 99% accuracy in identifying soft onset vocalization.


DOI: 10.21437/Interspeech.2016-765

Cite as

Ochi, K., Mori, K., Sakai, N., Ono, N. (2016) Automatic Discrimination of Soft Voice Onset Using Acoustic Features of Breathy Voicing. Proc. Interspeech 2016, 267-271.

Bibtex
@inproceedings{Ochi+2016,
author={Keiko Ochi and Koichi Mori and Naomi Sakai and Nobutaka Ono},
title={Automatic Discrimination of Soft Voice Onset Using Acoustic Features of Breathy Voicing},
year=2016,
booktitle={Interspeech 2016},
doi={10.21437/Interspeech.2016-765},
url={http://dx.doi.org/10.21437/Interspeech.2016-765},
pages={267--271}
}