Statistical methods for spoken dialogue management:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Abschlussarbeit Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
London [u.a.]
Springer
2013
|
| Schriftenreihe: | Springer theses : Recognizing outstanding Ph. D. research
|
| Schlagworte: | |
| Online-Zugang: | BTU01 FHA01 FHI01 FHN01 FHR01 FKE01 FWS01 UBY01 Volltext Inhaltsverzeichnis Abstract |
| Beschreibung: | 1 Online-Ressource |
| ISBN: | 9781447149231 |
| DOI: | 10.1007/978-1-4471-4923-1 |
Internformat
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Datensatz im Suchindex
| DE-BY-FWS_katkey | 923380 |
|---|---|
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| adam_text | STATISTICAL METHODS FOR SPOKEN DIALOGUE MANAGEMENT
/ THOMSON, BLAISE
: 2013
TABLE OF CONTENTS / INHALTSVERZEICHNIS
DIALOGUE SYSTEM THEORY
MAINTAINING STATE
MAINTAINING STATE - OPTIMIZATIONS
POLICY DESIGN
EVALUATION
PARAMETER LEARNING
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
STATISTICAL METHODS FOR SPOKEN DIALOGUE MANAGEMENT
/ THOMSON, BLAISE
: 2013
ABSTRACT / INHALTSTEXT
SPEECH IS THE MOST NATURAL MODE OF COMMUNICATION AND YET ATTEMPTS TO
BUILD SYSTEMS WHICH SUPPORT ROBUST HABITABLE CONVERSATIONS BETWEEN A
HUMAN AND A MACHINE HAVE SO FAR HAD ONLY LIMITED SUCCESS. A KEY REASON
IS THAT CURRENT SYSTEMS TREAT SPEECH INPUT AS EQUIVALENT TO A KEYBOARD
OR MOUSE, AND BEHAVIOUR IS CONTROLLED BY PREDEFINED SCRIPTS THAT TRY TO
ANTICIPATE WHAT THE USER WILL SAY AND ACT ACCORDINGLY. BUT SPEECH
RECOGNISERS MAKE MANY ERRORS AND HUMANS ARE NOT PREDICTABLE; THE RESULT
IS SYSTEMS WHICH ARE DIFFICULT TO DESIGN AND FRAGILE IN USE. STATISTICAL
METHODS FOR SPOKEN DIALOGUE MANAGEMENT TAKES A RADICALLY DIFFERENT VIEW.
IT TREATS DIALOGUE AS THE PROBLEM OF INFERRING A USER S INTENTIONS BASED
ON WHAT IS SAID. THE DIALOGUE IS MODELLED AS A PROBABILISTIC NETWORK AND
THE INPUT SPEECH ACTS ARE OBSERVATIONS THAT PROVIDE EVIDENCE FOR
PERFORMING BAYESIAN INFERENCE. THE RESULT IS A SYSTEM WHICH IS MUCH MORE
ROBUST TO SPEECH RECOGNITION ERRORS AND FOR WHICH A DIALOGUE STRATEGY
CAN BE LEARNED AUTOMATICALLY USING REINFORCEMENT LEARNING. THE THESIS
DESCRIBES BOTH THE ARCHITECTURE, THE ALGORITHMS NEEDED FOR FAST
REAL-TIME INFERENCE OVER VERY LARGE NETWORKS, MODEL PARAMETER ESTIMATION
AND POLICY OPTIMISATION. THIS GROUND-BREAKING WORK WILL BE OF INTEREST
BOTH TO PRACTITIONERS IN SPOKEN DIALOGUE SYSTEMS AND TO COGNITIVE
SCIENTISTS INTERESTED IN MODELS OF HUMAN BEHAVIOUR
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
|
| any_adam_object | 1 |
| author | Thomson, Blaise |
| author_facet | Thomson, Blaise |
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| ctrlnum | (OCoLC)829742215 (DE-599)DNB1029529175 |
| 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 | 10.1007/978-1-4471-4923-1 |
| format | Thesis Electronic eBook |
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| indexdate | 2024-08-01T16:14:51Z |
| institution | BVB |
| isbn | 9781447149231 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-025977027 |
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| spellingShingle | Thomson, Blaise Statistical methods for spoken dialogue management |
| subject_GND | (DE-588)4113937-9 |
| title | Statistical methods for spoken dialogue management |
| title_auth | Statistical methods for spoken dialogue management |
| title_exact_search | Statistical methods for spoken dialogue management |
| title_full | Statistical methods for spoken dialogue management Blaise Thomson |
| title_fullStr | Statistical methods for spoken dialogue management Blaise Thomson |
| title_full_unstemmed | Statistical methods for spoken dialogue management Blaise Thomson |
| title_short | Statistical methods for spoken dialogue management |
| title_sort | statistical methods for spoken dialogue management |
| topic_facet | Hochschulschrift |
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