Language Identification Using Spectral and Prosodic Features

(Part of the SpringerBriefs in Speech Technology Series)

by K Sreenivasa Rao, Sudhamay Maity, Subrayal Medapati Reddy, et al.

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This book discusses the impact of spectral features extracted from frame level, glottal closure regions, and pitch-synchronous analysis on the performance of language identification systems. In addition to spectral features, the authors explore prosodic features such as intonation, rhythm, and stress features for discriminating the languages. They present how the proposed spectral and prosodic features capture the language specific information from...

Format:Paperback

Language:English

ISBN:3319171623

ISBN13:9783319171623

Release Date:April 2015

Publisher:Springer

Length:98 Pages

Weight:0.37 lbs.

Dimensions:0.2" x 6.1" x 9.2"

Related Subjects

Computers Computers & Technology Engineering Language Arts Technology

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Language Identification Using Spectral and Prosodic Features

(Part of the SpringerBriefs in Speech Technology Series)

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