Abstract:

This paper deals with automatic language identification based on prosodic features and rhythmic information. A segmentation method has been used to divide the speech signal into sub-word units, and with vowel/consonantal detection, segment the speech into vowel units and consonantal units. Pseudo-syllable units are then produced. Several parameters are extracted and modeled from pseudo-syllable and modeled with a Gaussian mixture model (GMM). Experiments are performed on free and telephone channel speech. The results show that the sub-word system and the rhythmic system are effective.

Key words: language identification;rhythm;Gaussian mixture model (GMM)