Language identification using spectral and prosodic features:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cham [u.a.]
Springer
2015
|
| Schriftenreihe: | SpringerBriefs in electrical and computer engineering : Speech technology
|
| Schlagworte: | |
| Online-Zugang: | BHS01 BTU01 FAB01 FAW01 FHA01 FHI01 FHN01 FHR01 FKE01 FRO01 FWS01 FWS02 UBY01 Volltext Inhaltsverzeichnis Abstract |
| Beschreibung: | 1 Online-Ressource (XI, 98 p. 21 illus., 5 illus. in color) |
| ISBN: | 9783319171630 |
| DOI: | 10.1007/978-3-319-17163-0 |
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Datensatz im Suchindex
| DE-BY-FWS_katkey | 554398 |
|---|---|
| _version_ | 1824554416042147840 |
| adam_text | LANGUAGE IDENTIFICATION USING SPECTRAL AND PROSODIC FEATURES
/ RAO, K. SREENIVASA
: 2015
TABLE OF CONTENTS / INHALTSVERZEICHNIS
INTRODUCTION.-LITERATURE REVIEW
LANGUAGE IDENTIFICATION USING SPECTRAL FEATURES
LANGUAGE IDENTIFICATION USING PROSODIC FEATURES
SUMMARY AND CONCLUSIONS
APPENDIX A: LPCC FEATURES
APPENDIX B: MFCC FEATURES
APPENDIX C: GAUSSIAN MIXTURE MODEL (GMM)
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
LANGUAGE IDENTIFICATION USING SPECTRAL AND PROSODIC FEATURES
/ RAO, K. SREENIVASA
: 2015
ABSTRACT / INHALTSTEXT
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 TWO COMPLEMENTARY ASPECTS, SHOWING
HOW THE DEVELOPMENT OF LANGUAGE IDENTIFICATION (LID) SYSTEM USING THE
COMBINATION OF SPECTRAL AND PROSODIC FEATURES WILL ENHANCE THE ACCURACY
OF IDENTIFICATION AS WELL AS IMPROVE THE ROBUSTNESS OF THE SYSTEM. THIS
BOOK PROVIDES THE METHODS TO EXTRACT THE SPECTRAL AND PROSODIC FEATURES
AT VARIOUS LEVELS, AND ALSO SUGGESTS THE APPROPRIATE MODELS FOR
DEVELOPING ROBUST LID SYSTEMS ACCORDING TO SPECIFIC SPECTRAL AND
PROSODIC FEATURES. FINALLY, THE BOOK DISCUSS ABOUT VARIOUS COMBINATIONS
OF SPECTRAL AND PROSODIC FEATURES, AND THE DESIRED MODELS TO ENHANCE THE
PERFORMANCE OF LID SYSTEMS
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
|
| any_adam_object | 1 |
| author | Rao, K. Sreenivasa |
| author_facet | Rao, K. Sreenivasa |
| author_role | aut |
| author_sort | Rao, K. Sreenivasa |
| author_variant | k s r ks ksr |
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| bvnumber | BV042481962 |
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| dewey-full | 621.382 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 621 - Applied physics |
| dewey-raw | 621.382 |
| dewey-search | 621.382 |
| dewey-sort | 3621.382 |
| dewey-tens | 620 - Engineering and allied operations |
| discipline | Elektrotechnik / Elektronik / Nachrichtentechnik |
| doi_str_mv | 10.1007/978-3-319-17163-0 |
| format | Electronic eBook |
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| id | DE-604.BV042481962 |
| illustrated | Not Illustrated |
| indexdate | 2025-02-20T06:51:25Z |
| institution | BVB |
| isbn | 9783319171630 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027916921 |
| oclc_num | 907622355 |
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| physical | 1 Online-Ressource (XI, 98 p. 21 illus., 5 illus. in color) |
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| series2 | SpringerBriefs in electrical and computer engineering : Speech technology |
| spellingShingle | Rao, K. Sreenivasa Language identification using spectral and prosodic features Engineering Translators (Computer programs) Computational linguistics Signal, Image and Speech Processing Language Translation and Linguistics Computational Linguistics Ingenieurwissenschaften |
| title | Language identification using spectral and prosodic features |
| title_auth | Language identification using spectral and prosodic features |
| title_exact_search | Language identification using spectral and prosodic features |
| title_full | Language identification using spectral and prosodic features K. Sreenivasa Rao ; V. Ramu Reddy ; Sudhamay Maity |
| title_fullStr | Language identification using spectral and prosodic features K. Sreenivasa Rao ; V. Ramu Reddy ; Sudhamay Maity |
| title_full_unstemmed | Language identification using spectral and prosodic features K. Sreenivasa Rao ; V. Ramu Reddy ; Sudhamay Maity |
| title_short | Language identification using spectral and prosodic features |
| title_sort | language identification using spectral and prosodic 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 |
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