Automatic Language Recognition Via Spectral and Token Based Approaches-Reference-Cited by-同舟云学术

Automatic Language Recognition Via Spectral and Token Based Approaches

Published:2008 Issue: Volume: Page:811-824
ISSN:
Container-title:Springer Handbook of Speech Processing
language:
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Author:

Reynolds Douglas A.,Campbell William M.,Shen Wade,Singer Elliot

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-49127-9_41

Reference42 articles.

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2. H. Hermansky, N. Morgan, A. Bayya, P. Kohn: Compensation for the Effect of the Communication Channel in Auditory-Like Analysis of Speech, Proc. Eurospeech (1991) pp. 1367-1371

3. D.A. Reynolds: Channel robust speaker verification via feature mapping, Proceedings of the, International Conference on Acoustics Speech and Signal Processing (2003) pp. II-53, -56

4. P.A. Torres-Carrasquillo, E. Singer, M.A. Kohler, R.J. Greene, D.A. Reynolds, J.R. Deller Jr.: Approaches to language identification using Gaussian mixture models and shifted delta cepstral features, International Conference on Spoken Language Processing (2002) pp. 89-92

5. M. Zissman: Comparison of Four Approaches to Automatic Language Identification of Telephone Speech, IEEE Trans. Speech Audio Process. 4(1), 31-44 (1996)

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