Real-time speech and music classification by large audio feature space extraction:
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis Electronic eBook |
| Language: | English |
| Published: |
[Cham]
Springer
[2016]
|
| Series: | Springer theses, recognizing outstanding Ph.D. research
|
| Subjects: | |
| Online Access: | UBY01 UPA01 URL des Erstveröffentlichers Inhaltsverzeichnis Abstract |
| Physical Description: | 1 Online Ressource |
| ISBN: | 9783319272993 9783319272986 |
| DOI: | 10.1007/978-3-319-27299-3 |
Staff View
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Record in the Search Index
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| adam_text | REAL-TIME SPEECH AND MUSIC CLASSIFICATION BY LARGE AUDIO FEATURE SPACE
EXTRACTION
/ EYBEN, FLORIAN
: 2016
TABLE OF CONTENTS / INHALTSVERZEICHNIS
ABSTRACT
INTRODUCTION
ACOUSTIC FEATURES AND MODELLING
STANDARD BASELINE FEATURE SETS
REAL-TIME INCREMENTAL PROCESSING
REAL-LIFE ROBUSTNESS
EVALUATION
DISCUSSION AND OUTLOOK
APPENDIX
MEL-FREQUENCY FILTERBANK PARAMETERS
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
REAL-TIME SPEECH AND MUSIC CLASSIFICATION BY LARGE AUDIO FEATURE SPACE
EXTRACTION
/ EYBEN, FLORIAN
: 2016
ABSTRACT / INHALTSTEXT
THIS BOOK REPORTS ON AN OUTSTANDING THESIS THAT HAS SIGNIFICANTLY
ADVANCED THE STATE-OF-THE-ART IN THE AUTOMATED ANALYSIS AND
CLASSIFICATION OF SPEECH AND MUSIC. IT DEFINES SEVERAL STANDARD ACOUSTIC
PARAMETER SETS AND DESCRIBES THEIR IMPLEMENTATION IN A NOVEL,
OPEN-SOURCE, AUDIO ANALYSIS FRAMEWORK CALLED OPENSMILE, WHICH HAS BEEN
ACCEPTED AND INTENSIVELY USED WORLDWIDE. THE BOOK OFFERS EXTENSIVE
DESCRIPTIONS OF KEY METHODS FOR THE AUTOMATIC CLASSIFICATION OF SPEECH
AND MUSIC SIGNALS IN REAL-LIFE CONDITIONS AND REPORTS ON THE EVALUATION
OF THE FRAMEWORK DEVELOPED AND THE ACOUSTIC PARAMETER SETS THAT WERE
SELECTED. IT IS NOT ONLY INTENDED AS A MANUAL FOR OPENSMILE USERS, BUT
ALSO AND PRIMARILY AS A GUIDE AND SOURCE OF INSPIRATION FOR STUDENTS AND
SCIENTISTS INVOLVED IN THE DESIGN OF SPEECH AND MUSIC ANALYSIS METHODS
THAT CAN ROBUSTLY HANDLE REAL-LIFE CONDITIONS
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
|
| any_adam_object | 1 |
| author | Eyben, Florian |
| author_facet | Eyben, Florian |
| author_role | aut |
| author_sort | Eyben, Florian |
| author_variant | f e fe |
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| bvnumber | BV043309127 |
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| dewey-full | 621.382 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 621 - Applied physics |
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| dewey-search | 621.382 |
| dewey-sort | 3621.382 |
| dewey-tens | 620 - Engineering and allied operations |
| discipline | Elektrotechnik / Elektronik / Nachrichtentechnik |
| doi_str_mv | 10.1007/978-3-319-27299-3 |
| format | Thesis Electronic eBook |
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| illustrated | Not Illustrated |
| indexdate | 2025-02-20T06:52:42Z |
| institution | BVB |
| isbn | 9783319272993 9783319272986 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-028729823 |
| oclc_num | 934210731 |
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| publishDate | 2016 |
| publishDateSearch | 2016 |
| publishDateSort | 2016 |
| publisher | Springer |
| record_format | marc |
| series2 | Springer theses, recognizing outstanding Ph.D. research |
| spellingShingle | Eyben, Florian Real-time speech and music classification by large audio feature space extraction Engineering User interfaces (Computer systems) Computational linguistics Acoustical engineering Signal, Image and Speech Processing User Interfaces and Human Computer Interaction Engineering Acoustics Computational Linguistics Ingenieurwissenschaften |
| subject_GND | (DE-588)4113937-9 |
| title | Real-time speech and music classification by large audio feature space extraction |
| title_auth | Real-time speech and music classification by large audio feature space extraction |
| title_exact_search | Real-time speech and music classification by large audio feature space extraction |
| title_full | Real-time speech and music classification by large audio feature space extraction Florian Eyben |
| title_fullStr | Real-time speech and music classification by large audio feature space extraction Florian Eyben |
| title_full_unstemmed | Real-time speech and music classification by large audio feature space extraction Florian Eyben |
| title_short | Real-time speech and music classification by large audio feature space extraction |
| title_sort | real time speech and music classification by large audio feature space extraction |
| topic | Engineering User interfaces (Computer systems) Computational linguistics Acoustical engineering Signal, Image and Speech Processing User Interfaces and Human Computer Interaction Engineering Acoustics Computational Linguistics Ingenieurwissenschaften |
| topic_facet | Engineering User interfaces (Computer systems) Computational linguistics Acoustical engineering Signal, Image and Speech Processing User Interfaces and Human Computer Interaction Engineering Acoustics Computational Linguistics Ingenieurwissenschaften Hochschulschrift |
| url | https://doi.org/10.1007/978-3-319-27299-3 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028729823&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=028729823&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |
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