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Statistical classification / Support vector machine / Generalized method of moments / Linux kernel / Kernel / Arabic language / Dialect / Function / Languages of Africa / Languages of Asia / Mathematics


Dialect and Accent Recognition using Phonetic-Segmentation Supervectors Fadi Biadsy*, Julia Hirschberg*, Daniel P. W. Ellis† *Department of Computer Science, Columbia University, New York, NY, USA {fadi,julia}@cs.colum
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Document Date: 2011-09-19 16:17:41


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City

Atlanta / Cambridge / Brisbane / Brighton / Interspeech’10 / ICASSP’06 / Supervector / /

Company

IBM / Neural Information Processing Systems / Southern / MIT Press / /

Country

France / Japan / United States / Australia / United Kingdom / Czech Republic / /

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Event

Reorganization / /

Facility

Columbia University / /

IndustryTerm

spontaneous telephone conversations / recent dialect recognition systems / front-end pre-processing / important applications / speech applications / acoustic-based systems / phonotactic-based dialect recognition systems / diverse phonotactic-based systems / dialect recognition systems / multimedia applications / energy / /

MusicAlbum

Speech / /

Organization

Brno University / Department of Computer Science / MIT / Department of Electrical Engineering / Columbia University / New York / /

Person

Ua / Jason W. Pelecanos / Fadi Biadsy / Julia Hirschberg / Hagen Soltau / Lidia Mangu / Daniel P. W. Ellis / /

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Position

same speaker / speaker / translation and forensic speaker / WaT Wb / /

Product

American English / Attila system / Kernel / KL / Indian English / Attila / /

Technology

EM algorithm / /

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