Automatic Fongbe Phoneme Recognition From Spoken Speech Signal

Fréjus A. A. Laleye, Eugène C. Ezin, Cina Motamed

2016

Abstract

This paper reports our efforts toward an automatic phoneme recognition for an under-resourced language, Fongbe. We propose a complete recipe of algorithms from speech segmentation to phoneme recognition in a continuous speech signal. We investigated a strictly fuzzy approach for simultaneous speech segmentation and phoneme classification. The implemented automatic phoneme recognition system integrates an acoustic analysis based on calculation of the formants for vowel phonemes and calculation of pitch and intensity of consonant phonemes. Vowel and consonant phonemes are obtained at classification. Experiments were performed on Fongbe language (an African tonal language spoken especially in Benin, Togo and Nigeria) and results of phoneme error rate are reported.

References

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Paper Citation


in Harvard Style

Laleye F., Ezin E. and Motamed C. (2016). Automatic Fongbe Phoneme Recognition From Spoken Speech Signal . In Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-758-198-4, pages 102-109. DOI: 10.5220/0006004101020109


in Bibtex Style

@conference{icinco16,
author={Fréjus A. A. Laleye and Eugène C. Ezin and Cina Motamed},
title={Automatic Fongbe Phoneme Recognition From Spoken Speech Signal},
booktitle={Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2016},
pages={102-109},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006004101020109},
isbn={978-989-758-198-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Automatic Fongbe Phoneme Recognition From Spoken Speech Signal
SN - 978-989-758-198-4
AU - Laleye F.
AU - Ezin E.
AU - Motamed C.
PY - 2016
SP - 102
EP - 109
DO - 10.5220/0006004101020109