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2015 | OriginalPaper | Chapter

3. Implicit Excitation Source Features for Language Identification

Authors : K. Sreenivasa Rao, Dipanjan Nandi

Published in: Language Identification Using Excitation Source Features

Publisher: Springer International Publishing

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Abstract

This chapter discusses about the proposed approaches to model the implicit features of excitation source information for language identification. Excitation source features such as raw LP residual samples, its magnitude and phase components are processed at three different levels: sub-segmental, segmental and supra-segmental levels to capture different aspects of excitation source information for LID task. Further, LID systems are developed by combining the evidences obtained from LID systems built using individual features.

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previous chapter Language Identification—A Brief Review
next chapter Parametric Excitation Source Features for Language Identification
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Metadata
Title
Implicit Excitation Source Features for Language Identification
Authors
K. Sreenivasa Rao
Dipanjan Nandi
Copyright Year
2015
Book
Language Identification Using Excitation Source Features

Print ISBN: 978-3-319-17724-3

Electronic ISBN: 978-3-319-17725-0

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-3-319-17725-0_3