Holdings: Language identification using excitation source features

Language identification using excitation source features:

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Bibliographic Details
Main Author:	Rao, K. Sreenivasa (Author)
Format:	Electronic eBook
Language:	English
Published:	Cham [u.a.] Springer 2015
Series:	SpringerBriefs in electrical and computer engineering
Subjects:	Engineering Translators (Computer programs) Computational linguistics Signal, Image and Speech Processing Language Translation and Linguistics Computational Linguistics Ingenieurwissenschaften
Online Access:	BHS01 BTU01 FAB01 FAW01 FHA01 FHI01 FHN01 FHR01 FKE01 FRO01 FWS01 FWS02 UBY01 Volltext Inhaltsverzeichnis Abstract
Physical Description:	1 Online-Ressource (XII, 119 p. 19 illus., 3 illus. in color)
ISBN:	9783319177250
DOI:	10.1007/978-3-319-17725-0

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adam_text	LANGUAGE IDENTIFICATION USING EXCITATION SOURCE FEATURES / RAO, K. SREENIVASA : 2015 TABLE OF CONTENTS / INHALTSVERZEICHNIS INTRODUCTION LANGUAGE IDENTIFICATION A BRIEF REVIEW IMPLICIT EXCITATION SOURCE FEATURES FOR LANGUAGE IDENTIFICATION PARAMETRIC EXCITATION SOURCE FEATURES FOR LANGUAGE IDENTIFICATION COMPLEMENTARY AND ROBUST NATURE OF EXCITATION SOURCE FEATURES FOR LANGUAGE IDENTIFICATION CONCLUSION DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT. LANGUAGE IDENTIFICATION USING EXCITATION SOURCE FEATURES / RAO, K. SREENIVASA : 2015 ABSTRACT / INHALTSTEXT THIS BOOK DISCUSSES THE CONTRIBUTION OF EXCITATION SOURCE INFORMATION IN DISCRIMINATING LANGUAGE. THE AUTHORS FOCUS ON THE EXCITATION SOURCE COMPONENT OF SPEECH FOR ENHANCEMENT OF LANGUAGE IDENTIFICATION (LID) PERFORMANCE. LANGUAGE SPECIFIC FEATURES ARE EXTRACTED USING TWO DIFFERENT MODES: (I) IMPLICIT PROCESSING OF LINEAR PREDICTION (LP) RESIDUAL AND (II) EXPLICIT PARAMETERIZATION OF LINEAR PREDICTION RESIDUAL. THE BOOK DISCUSSES HOW IN IMPLICIT PROCESSING APPROACH, EXCITATION SOURCE FEATURES ARE DERIVED FROM LP RESIDUAL, HILBERT ENVELOPE (MAGNITUDE) OF LP RESIDUAL AND PHASE OF LP RESIDUAL; AND IN EXPLICIT PARAMETERIZATION APPROACH, LP RESIDUAL SIGNAL IS PROCESSED IN SPECTRAL DOMAIN TO EXTRACT THE RELEVANT LANGUAGE SPECIFIC FEATURES. THE AUTHORS FURTHER EXTRACT SOURCE FEATURES FROM THESE MODES, WHICH ARE COMBINED FOR ENHANCING THE PERFORMANCE OF LID SYSTEMS. THE PROPOSED EXCITATION SOURCE FEATURES ARE ALSO INVESTIGATED FOR LID IN BACKGROUND NOISY ENVIRONMENTS. EACH CHAPTER OF THIS BOOK PROVIDES THE MOTIVATION FOR EXPLORING THE SPECIFIC FEATURE FOR LID TASK, AND SUBSEQUENTLY DISCUSS THE METHODS TO EXTRACT THOSE FEATURES AND FINALLY SUGGEST APPROPRIATE MODELS TO CAPTURE THE LANGUAGE SPECIFIC KNOWLEDGE FROM THE PROPOSED FEATURES. FINALLY, THE BOOK DISCUSS ABOUT VARIOUS COMBINATIONS OF SPECTRAL AND SOURCE FEATURES, AND THE DESIRED MODELS TO ENHANCE THE PERFORMANCE OF LID SYSTEMS DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
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author	Rao, K. Sreenivasa
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spellingShingle	Rao, K. Sreenivasa Language identification using excitation source features Engineering Translators (Computer programs) Computational linguistics Signal, Image and Speech Processing Language Translation and Linguistics Computational Linguistics Ingenieurwissenschaften
title	Language identification using excitation source features
title_auth	Language identification using excitation source features
title_exact_search	Language identification using excitation source features
title_full	Language identification using excitation source features K. Sreenivasa Rao ; Dipanjan Nandi
title_fullStr	Language identification using excitation source features K. Sreenivasa Rao ; Dipanjan Nandi
title_full_unstemmed	Language identification using excitation source features K. Sreenivasa Rao ; Dipanjan Nandi
title_short	Language identification using excitation source features
title_sort	language identification using excitation source features
topic	Engineering Translators (Computer programs) Computational linguistics Signal, Image and Speech Processing Language Translation and Linguistics Computational Linguistics Ingenieurwissenschaften
topic_facet	Engineering Translators (Computer programs) Computational linguistics Signal, Image and Speech Processing Language Translation and Linguistics Computational Linguistics Ingenieurwissenschaften
url	https://doi.org/10.1007/978-3-319-17725-0 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027978577&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027978577&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA
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