In this paper, we give the general principles behind an automatic system, developed at IRIT and capable of labelling speech signal for phonetic events. First, we present a non-linear smoothing method that was run on both amplitude and ZCR. Next, we give results obtained on EUROM-0 English, French and Swedish corpora. The results demonstrate that the labelling operation becomes completely independent from either language, corpus or speaker. Moreover, this operation requires no manual adaptation or training whatsoever. Keywords: Automatic Segmentation, Multilingual Speech Analysis, Phonetic Events, Non-Linear Filtering
Cite as: Kabre, H., Pérénnou, G., Vigouroux, N. (1991) A non-linear filtering method applied to automatic segmentation of multilingual speech corpora. Proc. 2nd European Conference on Speech Communication and Technology (Eurospeech 1991), 689-692, doi: 10.21437/Eurospeech.1991-182
@inproceedings{kabre91_eurospeech,
author={H. Kabre and Guy Pérénnou and Nadine Vigouroux},
title={{A non-linear filtering method applied to automatic segmentation of multilingual speech corpora}},
year=1991,
booktitle={Proc. 2nd European Conference on Speech Communication and Technology (Eurospeech 1991)},
pages={689--692},
doi={10.21437/Eurospeech.1991-182}
}