9th Annual Conference of the International Speech Communication Association

Brisbane, Australia
September 22-26, 2008

Introducing a FM Based Feature to Hierarchical Language Identification

Bo Yin (1), Tharmarajah Thiruvaran (1), Eliathamby Ambikairajah (1), Fang Chen (2)

(1) University of New South Wales, Australia; (2) NICTA, Australia

Although relatively neglected in auditory analysis, phase information plays an important role in human auditory intelligibility. This paper investigates a Frequency Modulation (FM) based feature and its contribution to a Language Identification (LID) system, using a Hierarchical LID framework. FM components represent the phase information of a given signal in an AM-FM model. In this paper, we extract a FM-based feature using a technique which produces consistent and continuous FM components, and build a LID system on this feature with GMM based modeling. The performance is improved by combining this system with existing MFCC, Prosody based systems and a PRLM system. When compared to the baseline system without integrating a FM-based system, the proposed Hierarchical LID system shows improvements. Additionally, the proposed system outperforms the GMM fusion-based system integrating the same four primary systems, showing that the Hierarchical LID framework is more effective in integrating additional features.

Full Paper

Bibliographic reference.  Yin, Bo / Thiruvaran, Tharmarajah / Ambikairajah, Eliathamby / Chen, Fang (2008): "Introducing a FM based feature to hierarchical language identification", In INTERSPEECH-2008, 731-734.