ISCA Archive SPOSS 1998
ISCA Archive SPOSS 1998

Multilingual detection of specific sound patterns: the case of vowels and plosives

Nathalie Parlangeau, Francois Pellegrino

This paper deals with the problem of multilingual automatic labelling. The proposed approach is based on unsupervised speech analysis and it aims to locate vowel segments and unvoiced plosive bursts. No learning phase is required and the algorithms are speaker and language independent. The vowel detection algorithm is based on a spectral analysis in Mel frequency filters and the plosive detection integrates a similar analysis with additional rules. Experiments are performed with Spanish and French data from the OGI Multilingual Telephone Speech corpus. Correct identification rates reach more than 90 % for vowel segments and near 85 % for plosives for both languages according to the semiautomatic labelling provided by OGI.


Cite as: Parlangeau, N., Pellegrino, F. (1998) Multilingual detection of specific sound patterns: the case of vowels and plosives. Proc. ETRW - Sound Patterns of Spontaneous Speech (SPoSS), 153-156

@inproceedings{parlangeau98_sposs,
  author={Nathalie Parlangeau and Francois Pellegrino},
  title={{Multilingual detection of specific sound patterns: the case of vowels and plosives}},
  year=1998,
  booktitle={Proc. ETRW - Sound Patterns of Spontaneous Speech (SPoSS)},
  pages={153--156}
}