Use this URL to cite or link to this record in EThOS:
Title: Modelling prosodic and dialogue information for automatic speech recognition
Author: Wright, Helen Frances
Awarding Body: University of Edinburgh
Current Institution: University of Edinburgh
Date of Award: 2000
Availability of Full Text:
Access from EThOS:
Full text unavailable from EThOS. Please try the link below.
Access from Institution:
The main goal of the work presented in this thesis, is to provide a system for automatically classifying utterances into different types known as moves. In order to do this, one can take advantage of certain constraints found in natural dialogues. Utterances of the same type follow each other with a degree of regularity. This study joins together these three aspects to perform automatic move detection, which is used in an automatic speech recognition system to constrain the possible number of words. This system is successful in identifying utterances types and subsequently reduces the word error rate of the recogniser. It also provides an in depth study into how people express the discourse function of an utterance through intonation and provides a unique model of dialogue structure.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available