Dialog act classification with the help of prosody

Author

Mast, M. ; Kompe, R. ; Harbeck, S. ; Kiessling, A. ; Niemann, H. ; Nöth, E. ; Talamazzini, E. G Schukat ; Warnke, V.

Author_Institution

Lehrstuhl fur Mustererkennung, Erlangen-Nurnberg Univ., Germany

Volume

3

fYear

1996

fDate

3-6 Oct 1996

Firstpage

1732

Abstract

This paper presents automatic methods for the segmentation and classification of dialog acts (DA). In VERBMOBIL it is often sufficient to recognize the sequence of DAs occurring during a dialog between the two partners. Since a turn can consist of one or more successive DAs we conduct the classification of DAs in a two step procedure. First each turn has to be segmented into units which correspond to a DA and second the DA categories have to be identified. For the segmentation we use polygrams and multi-layer perceptrons, using prosodic features. The classification of DAs is done with semantic classification trees and polygrams

Keywords

feedforward neural nets; linguistics; multilayer perceptrons; natural language interfaces; speech recognition; trees (mathematics); VERBMOBIL; dialog act classification; dialog act segmentation; multi-layer perceptrons; polygrams; prosodic features; prosody; semantic classification trees; Classification tree analysis; Educational technology; History; Labeling; Speech; Spread spectrum communication; Switches; Tongue;

fLanguage

English

Publisher

ieee

Conference_Titel

Spoken Language, 1996. ICSLP 96. Proceedings., Fourth International Conference on

Conference_Location

Philadelphia, PA

Print_ISBN

0-7803-3555-4

Type

conf

DOI

10.1109/ICSLP.1996.607962

Filename

607962