Rhythm Information for Automated Spoken Language Identification
Ekaterina Timoshenko · mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich) · 2012
The automatic Language IDentification (LID) of spoken utterances attempts to automatically identify the language or dialect that is spoken by a human speaker. Language identification can be performed using different types of information that are extracted from a speech signal. Along with the standard LID systems that classify languages by the types of allowed phonemes and phonemes' combinations, a system based on rhythm information will be presented. Individual LID systems are firstly evaluated separately and then used together in different combinations to explore the influence of rhythm features on the overall performance. The results confirm that the proposed definition of speech rhythm can be successfully used to improve any LID system.