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Information state based speech recognition


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Title: Information state based speech recognition
Authors: Jonson, Rebecca
E-mail: becca.jonson@gmail.com
Issue Date: 28-Apr-2010
University: Göteborgs universitet. Humanistiska fakulteten
University of Gothenburg. Faculty of Arts
Institution: Department of Philosophy, Linguistics and Theory of Science ; Institutionen för filosofi, lingvistik och vetenskapsteori
Date of Defence: 2010-05-22
Disputation: On Saturday May 22, at 1 p.m., in T307, Olof Wijksgatan 6 (Gamla Hovrätten)
Degree: Doctor of Philosophy
Publication type: Doctoral thesis
Series/Report no.: Gothenburg Monographs in Linguistics
41
Keywords: dialogue systems, speech recognition, language modelling, dialogue move, dialogue context, ASR, higher level knowledge, linguistic knowledge, N-Best re-ranking, confidence scoring, confidence annotation, information state, ISU approach
Abstract: One of the pitfalls in spoken dialogue systems is the brittleness of automatic speech recognition (ASR). ASR systems often misrecognize user input and they are unreliable when it comes to judging their own performance. Recognition failures and deficient confidence estimation affect the performance of a dialogue system as a whole and the impression it makes on a user. Humans outperform ASR systems on most tasks related to speech understanding. One of the reasons is that humans make use of much mo... more
URI: http://hdl.handle.net/2077/22169
Appears in Collections:Doctoral Theses / Doktorsavhandlingar Institutionen för filosofi, lingvistik och vetenskapsteori
Doctoral Theses from University of Gothenburg / Doktorsavhandlingar från Göteborgs universitet

 

 

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