Approaches to language identification using Gaussian mixture models and shifted delta cepstral features
نویسندگان
چکیده
• This work is sponsored by the Department of Defense under Air Force Contract F19628-00-C-0002. Opinions, interpretations, conclusions and recommendations are those of the authors and are not necessarily endorsed by the United States Government. ♦ J.R. Deller was supported in part by the National Science Foundation under Cooperative Agreement No. IIS-9817485. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the NSF. P.A. Torres-Carrasquillo was supported in part by The Sloan Foundation and The GE Fund. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of either The Sloan Foundation or The GE Fund. ABSTRACT
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