Verfügbarkeit: Uncertainty Decoding for reverberation-robust automatic speech recognition

Uncertainty Decoding for reverberation-robust automatic speech recognition:

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Bibliographische Detailangaben
1. Verfasser:	Maas, Roland (VerfasserIn)
Format:	Abschlussarbeit Buch
Sprache:	English
Veröffentlicht:	Erlangen FAU University Press 2016
Schriftenreihe:	FAU Forschungen. Reihe B, Medizin, Naturwissenschaft, Technik 8
Schlagworte:	Störunterdrückung Automatische Spracherkennung Merkmalsextraktion Nachhall Viterbi-Algorithmus Mikrofon Robustheit Freisprecheinrichtung Decodierung Bayes-Netz Hidden-Markov-Modell Viterbi decoding uncertainty decoding automatic speech recognition acoustic model adaptation noise reverberation robustness Bayesian networks hidden Markov models distant microphones Hochschulschrift
Online-Zugang:	Volltext Volltext Volltext Inhaltsverzeichnis
Beschreibung:	Paralleltitel des Dissertationstitelblattes: Uncertainty Decoding für die nachhallrobuste automatische Spracherkennung
Beschreibung:	VIII, 191 Seiten 24 cm x 17 cm
ISBN:	9783944057613 3944057619

Internformat

MARC


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653			\|a acoustic model adaptation
653			\|a noise
653			\|a reverberation
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Datensatz im Suchindex

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adam_text	C ON TENTS 1 IN TRO D U CTIO N 1 1.1 CONTRIBUTIONS OF THIS T H E S I S ......................................................................... 4 1.2 OUTLINE OF THIS T H ESIS ..................................................................................... 6 1.3 MATHEMATICAL N O TATIO N .................................................................................. 6 2 R EV IEW O F A U TO M A TIC S P EECH R ECO G N ITIO N 9 2.1 PREPROCESSING AND FEATURE E X TRACTIO N ............................................................. 10 2.2 BAYESIAN N E TW O RK S......................................................................................... 12 2.2.1 CONDITIONAL IN D EP EN D EN CE ............................................................... 12 2.2.2 LEARNING, INFERENCE, AND D E CISIO N ................................................... 14 2.3 ACOUSTIC MODELING ......................................................................................... 16 2.4 DECODING............................................................................................................ 19 2.5 T RA IN IN G ............................................................................................................... 21 2.6 EFFECT OF R EVERBERATION...................................................................................... 22 3 A B AYESIAN N ETW ORK V IEW ON R O B U ST SP EECH R ECOGN ITION 29 3.1 BACK-END-BASED T EC H N IQ U ES.............................................................................30 3.1.1 THE LOG-SUM OBSERVATION M O D E L ...................................................... 33 3.1.2 UNCERTAINTY DECODING ......................................................................... 37 3.1.3 MISSING FEATURE T E C H N IQ U E S................................................................44 3.1.4 ACOUSTIC MODEL ADAPTATION AND OTHER MODEL-BASED APPROACHES 48 3.1.5 TRAINING-BASED T ECHNIQUES................................................................... 58 3.1.6 C ONCLUSIONS............................................................................................ 59 3.2 FRONT-END-BASED TECHNIQUES ............................................................................ 61 3.2.1 SIGNAL-DOMAIN M E TH O D S ...................................................................... 61 3.2.2 FEATURE-DOMAIN METHODS ...................................................................62 3.2.3 LINEAR SIGNAL ESTIMATION FROM A BAYESIAN NETWORK PERSPECTIVE . 64 4 U N CERTA IN TY D ECO D IN G W ITH R E M O S 73 4.1 M OTIVATION............................................................................................................ 74 4.2 OBSERVATION M O D E L............................................................................................ 76 4.3 EXTENDED VITERBI DECODING ............................................................................ 81 4.4 OPTIMIZATION IN THE LOGMELSPEC D O M A IN ...................................................... 85 4.4.1 PIECEWISE LINEAR APPROXIMATION OF THE NONLINEAR CONSTRAINT . . 90 4.4.2 SOLVING THE SEQUENCE OF QUADRATIC PRO G RAM S ..................................... 94 4.5 OPTIMIZATION IN THE FREQUENCY-FILTERING D OM AIN ........................................ 103 4.5.1 ADAPTATION OF FREQUENCY-FILTERING FEATURES ....................................106 4.5.2 SOLVING THE SEQUENCE OF QUADRATIC P RO G RAM S..................................108 4.6 OPTIMIZATION WITH ADDITIVE D ISTORTIONS........................................................ 116 4.7 PARAMETER ESTIMATION .....................................................................................124 4.7.1 REVERBERATION MODEL ESTIMATION ..................................................... 124 4.7.2 REVERBERATION MODEL A D A P TA TIO N .....................................................126 4.7.3 NOISE MODEL E S TIM A TIO N .....................................................................128 4.8 FURTHER R E S E A RC H .............................................................................................. 128 5 E X P ERIM EN TS 133 5.1 EXPERIMENTAL S E TU P ........................................................................................... 133 5.2 ANALYSIS OF THE LOG-MAP A PPROXIM ATION..................................................136 5.2.1 ANALYSIS AS LIKELIHOOD E S TIM A TO R .....................................................137 5.2.2 INFLUENCE ON THE RECOGNITION R A T E S ..................................................138 5.3 FREQUENCY FILTERING A NALYSIS........................................................................... 142 5.4 MATCHED T E STS.................................................................................................... 146 5.5 CROSS TE S T S ...........................................................................................................149 5.5.1 ROBUSTNESS TO CHANGES OF SPEAKER AND MICROPHONE POSITIONS . . 149 5.5.2 ROBUSTNESS TO ROOM C H A N G E S ........................................................... 151 5.6 MULTI-STYLE AND ADAPTATION T E S T S ..................................................................151 5.6.1 MULTI-STYLE P ERFORM ANCE.....................................................................151 5.6.2 ADAPTATION S PEED ................................................................................. 154 5.7 NOISE TESTS ........................................................................................................156 6 SU M M ARY AND O U TLOOK 159 A CRON YM S 163 LIST O F S YM B OLS 165 B IB LIOGRAP H Y 169
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discipline	Elektrotechnik / Elektronik / Nachrichtentechnik
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institution_GND	(DE-588)1068111240
isbn	9783944057613 3944057619
language	English
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-029101516
oclc_num	954161590
open_access_boolean	1
owner	DE-384 DE-473 DE-BY-UBG DE-703 DE-1051 DE-824 DE-29 DE-12 DE-91 DE-BY-TUM DE-19 DE-BY-UBM DE-1049 DE-92 DE-739 DE-898 DE-BY-UBR DE-355 DE-BY-UBR DE-706 DE-20 DE-1102 DE-29T
owner_facet	DE-384 DE-473 DE-BY-UBG DE-703 DE-1051 DE-824 DE-29 DE-12 DE-91 DE-BY-TUM DE-19 DE-BY-UBM DE-1049 DE-92 DE-739 DE-898 DE-BY-UBR DE-355 DE-BY-UBR DE-706 DE-20 DE-1102 DE-29T
physical	VIII, 191 Seiten 24 cm x 17 cm
psigel	ebook
publishDate	2016
publishDateSearch	2016
publishDateSort	2016
publisher	FAU University Press
record_format	marc
series	FAU Forschungen. Reihe B, Medizin, Naturwissenschaft, Technik
series2	FAU Forschungen. Reihe B, Medizin, Naturwissenschaft, Technik
spelling	Maas, Roland Verfasser (DE-588)1108582869 aut Uncertainty Decoding for reverberation-robust automatic speech recognition Roland Maas Uncertainty Decoding für die nachhallrobuste automatische Spracherkennung Erlangen FAU University Press 2016 VIII, 191 Seiten 24 cm x 17 cm txt rdacontent n rdamedia nc rdacarrier FAU Forschungen. Reihe B, Medizin, Naturwissenschaft, Technik 8 Paralleltitel des Dissertationstitelblattes: Uncertainty Decoding für die nachhallrobuste automatische Spracherkennung Dissertation Friedrich-Alexander-Universität Erlangen-Nürnberg 2016 Störunterdrückung (DE-588)4312859-2 gnd rswk-swf Automatische Spracherkennung (DE-588)4003961-4 gnd rswk-swf Merkmalsextraktion (DE-588)4314440-8 gnd rswk-swf Nachhall (DE-588)4171018-6 gnd rswk-swf Viterbi-Algorithmus (DE-588)4273784-9 gnd rswk-swf Mikrofon (DE-588)4139330-2 gnd rswk-swf Robustheit (DE-588)4126481-2 gnd rswk-swf Freisprecheinrichtung (DE-588)4240971-8 gnd rswk-swf Decodierung (DE-588)4148976-7 gnd rswk-swf Bayes-Netz (DE-588)4567228-3 gnd rswk-swf Automatische Spracherkennung Hidden-Markov-Modell Nachhall Viterbi decoding uncertainty decoding automatic speech recognition acoustic model adaptation noise reverberation robustness Bayesian networks hidden Markov models distant microphones (DE-588)4113937-9 Hochschulschrift gnd-content Automatische Spracherkennung (DE-588)4003961-4 s Freisprecheinrichtung (DE-588)4240971-8 s Mikrofon (DE-588)4139330-2 s Nachhall (DE-588)4171018-6 s Decodierung (DE-588)4148976-7 s Viterbi-Algorithmus (DE-588)4273784-9 s Bayes-Netz (DE-588)4567228-3 s Störunterdrückung (DE-588)4312859-2 s Merkmalsextraktion (DE-588)4314440-8 s Robustheit (DE-588)4126481-2 s DE-604 FAU University Press ein Imprint der Universität Erlangen-Nürnberg Universitätsbibliothek (DE-588)1068111240 pbl Erscheint auch als Online-Ausgabe urn:nbn:de:bvb:29-opus4-72553 FAU Forschungen. Reihe B, Medizin, Naturwissenschaft, Technik 8 (DE-604)BV041959107 8 https://nbn-resolving.org/urn:nbn:de:bvb:29-opus4-72553 Resolving-System kostenfrei Volltext http://d-nb.info/1107764874/34 Langzeitarchivierung Nationalbibliothek kostenfrei Volltext https://open.fau.de/handle/openfau/7255 Verlag kostenfrei Volltext DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029101516&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis
spellingShingle	Maas, Roland Uncertainty Decoding for reverberation-robust automatic speech recognition FAU Forschungen. Reihe B, Medizin, Naturwissenschaft, Technik Störunterdrückung (DE-588)4312859-2 gnd Automatische Spracherkennung (DE-588)4003961-4 gnd Merkmalsextraktion (DE-588)4314440-8 gnd Nachhall (DE-588)4171018-6 gnd Viterbi-Algorithmus (DE-588)4273784-9 gnd Mikrofon (DE-588)4139330-2 gnd Robustheit (DE-588)4126481-2 gnd Freisprecheinrichtung (DE-588)4240971-8 gnd Decodierung (DE-588)4148976-7 gnd Bayes-Netz (DE-588)4567228-3 gnd
subject_GND	(DE-588)4312859-2 (DE-588)4003961-4 (DE-588)4314440-8 (DE-588)4171018-6 (DE-588)4273784-9 (DE-588)4139330-2 (DE-588)4126481-2 (DE-588)4240971-8 (DE-588)4148976-7 (DE-588)4567228-3 (DE-588)4113937-9
title	Uncertainty Decoding for reverberation-robust automatic speech recognition
title_alt	Uncertainty Decoding für die nachhallrobuste automatische Spracherkennung
title_auth	Uncertainty Decoding for reverberation-robust automatic speech recognition
title_exact_search	Uncertainty Decoding for reverberation-robust automatic speech recognition
title_full	Uncertainty Decoding for reverberation-robust automatic speech recognition Roland Maas
title_fullStr	Uncertainty Decoding for reverberation-robust automatic speech recognition Roland Maas
title_full_unstemmed	Uncertainty Decoding for reverberation-robust automatic speech recognition Roland Maas
title_short	Uncertainty Decoding for reverberation-robust automatic speech recognition
title_sort	uncertainty decoding for reverberation robust automatic speech recognition
topic	Störunterdrückung (DE-588)4312859-2 gnd Automatische Spracherkennung (DE-588)4003961-4 gnd Merkmalsextraktion (DE-588)4314440-8 gnd Nachhall (DE-588)4171018-6 gnd Viterbi-Algorithmus (DE-588)4273784-9 gnd Mikrofon (DE-588)4139330-2 gnd Robustheit (DE-588)4126481-2 gnd Freisprecheinrichtung (DE-588)4240971-8 gnd Decodierung (DE-588)4148976-7 gnd Bayes-Netz (DE-588)4567228-3 gnd
topic_facet	Störunterdrückung Automatische Spracherkennung Merkmalsextraktion Nachhall Viterbi-Algorithmus Mikrofon Robustheit Freisprecheinrichtung Decodierung Bayes-Netz Hochschulschrift
url	https://nbn-resolving.org/urn:nbn:de:bvb:29-opus4-72553 http://d-nb.info/1107764874/34 https://open.fau.de/handle/openfau/7255 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029101516&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
volume_link	(DE-604)BV041959107
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