NDLI: A method using linguistic and acoustic features to detect inadequate utterances in medical communication

Content Provider	IEEE Xplore Digital Library
Author	Kurisu, M. Mera, K. Wada, R. Kurosawa, Y. Takezawa, T.
Copyright Year	2013
Description	Author affiliation: Grad. Sch. of Inf. Sci., Hiroshima City Univ., Hiroshima, Japan (Kurisu, M.; Mera, K.; Wada, R.; Kurosawa, Y.; Takezawa, T.)
Abstract	We have previously proposed two methods using both linguistic and acoustic features separately to detect inadequate utterances in medical communication. However, some inadequate utterances could not be detected because these methods only considered either linguistic or acoustic features, whereas, in general, people use both features to judge an utterance. In this paper, we propose a method using both linguistic and acoustic features. The linguistic features are based on not only word frequency but also sentence and conversation structures. The acoustic features are based on the variances of power and fundamental frequency (F0). A Support Vector Machine (SVM) is used to learn these two types of features compositely. The experimental results showed that the precision of proposed method using both linguistic and acoustic features increased 6% from the traditional recognition method and recall of the proposed method increased 14% from the traditional method.
Starting Page	197
Ending Page	200
File Size	668571
Page Count	4
File Format	PDF
ISBN	9781467357258
ISSN	18833977
e-ISBN	9781467357265
DOI	10.1109/IWCIA.2013.6624814
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-13
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Conferences Acoustic feature Utterance classification Medical services Feature extraction Educational institutions Acoustics Support Vector Machine Linguistic feature Medical communication Pragmatics
Content Type	Text
Resource Type	Article

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