8th Annual Conference of the International Speech Communication Association

Antwerp, Belgium
August 27-31, 2007

Using Speech Rhythm for Acoustic Language Identification

Ekaterina Timoshenko, Harald Höge

Siemens AG, Germany

This paper presents results on using rhythm for automatic language identification (LID). The idea is to explore the duration of pseudo-syllables as language discriminative feature. The resulting Rhythm system is based on Bigram duration models of neighbouring pseudo-syllables. The Rhythm system is fused with a Spectral system realized by parallel Phoneme Recognition (PPR) approach using MFCC's. The LID systems were evaluated on a 7 languages identification task using the Speech- Dat II databases. Tests were performed with 7 seconds utterances. Whereas the Spectral system acting as a baseline system achieved an error rate of 7.9% the fused system reduced the error rate by 10% relatively.

Full Paper

Bibliographic reference.  Timoshenko, Ekaterina / Höge, Harald (2007): "Using speech rhythm for acoustic language identification", In INTERSPEECH-2007, 182-185.