Language-Dependent Contribution Measuring and Weighting for Combining Likelihood Scores in Language Identification Systems-Reference-Cited by-同舟云学术

Language-Dependent Contribution Measuring and Weighting for Combining Likelihood Scores in Language Identification Systems

Published:2008-12-10 Issue:2 Volume:59 Page:201-210
ISSN:1939-8018
Container-title:Journal of Signal Processing Systems
language:en
Short-container-title:J Sign Process Syst Sign Image Video Technol

Author:

Yin Bo,Ambikairajah Eliathamby,Chen Fang

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Modelling and Simulation,Information Systems,Signal Processing,Theoretical Computer Science,Control and Systems Engineering

Link

http://link.springer.com/content/pdf/10.1007/s11265-008-0291-6.pdf

Reference24 articles.

1. Greenberg, S., & Arai, T. (2004). What are the essential cues for understanding spoken languages. IEICE Transaction on Information & System, E87-D, 1059.

2. Yin, B., Ambikairajah, E., & Chen, F. (2006). Combining prosodic and cepstral features in language identification. IEEE international conference on pattern recognition, Hong Kong, China.

3. Singer, E., Torres-Carrasquillo, P. A., Gleason, T. P., Campbell, W. M., D. A. Reynolds (2003). Acoustic, Phonetic, and Discriminative approaches to automatic language identification. EuroSpeech, Geneva, Switzerland.

4. Wong, E., & Sridharan, S. (2001). Fusion of output scores on language identification system. Workshop on Multilingual Speech and Language Processing, Aalborg Denmark.

5. Rong, T., Bin, M., Donglai, Z., Haizhou, L., & Eng Siong, C. (2006). Integrating acoustic, prosodic and phonotactic features for spoken language identification. IEEE International Conference on Acoustics, Speech, and Signal Processing, Toulouse, France.