Title :
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
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;
Conference_Titel :
Spoken Language, 1996. ICSLP 96. Proceedings., Fourth International Conference on
Conference_Location :
Philadelphia, PA
Print_ISBN :
0-7803-3555-4
DOI :
10.1109/ICSLP.1996.607962