Automatic Fongbe Phoneme Recognition From Spoken Speech Signal

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.

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