Information Services banner Edinburgh Research Archive The University of Edinburgh crest

Edinburgh Research Archive >
Centre for Speech Technology Research >
CSTR publications >

Please use this identifier to cite or link to this item: http://hdl.handle.net/1842/1021

This item has been viewed 48 times in the last year. View Statistics

Files in This Item:

File Description SizeFormat
Wright_1998_b.pdf47.59 kBAdobe PDFView/Open
Title: Automatic Utterance Type Detection Using Suprasegmental Features
Authors: Wright, Helen
Issue Date: Dec-1998
Citation: In ICSLP-1998, paper 0575.
Publisher: International Speech Communication Association
Abstract: The goal of the work presented here is to automatically predict the type of an utterance in spoken dialogue by using automatically extracted suprasegmental information. For this task we present and compare three stochastic algorithms: hidden Markov models, artificial neural nets, and classification and regression trees. These models are easily trainable, reasonably robust and fit into the probabilistic framework required for speech recognition. Utterance type detection is dependent on the assumption that different types of utterances have different suprasegmental characteristics. The categorisation of these utterance types is based on the theory of conversation games and consists of 12 move types (e.g. reply to a question, wh-question, acknowledgement). The system is speaker independent and is trained on spontaneous goal-directed dialogue collected from Canadian speakers. This utterance type detector is used in an automatic speech recognition system to reduce word error rate.
URI: http://www.isca-speech.org/archive/icslp_1998/index.html
http://hdl.handle.net/1842/1021
Appears in Collections:CSTR publications

Items in ERA are protected by copyright, with all rights reserved, unless otherwise indicated.

 

Valid XHTML 1.0! Unless explicitly stated otherwise, all material is copyright © The University of Edinburgh 2013, and/or the original authors. Privacy and Cookies Policy