DocumentCode :
2951614
Title :
From text to speech summarization
Author :
McKeown, Kathleen ; Hirschberg, Julia ; Galley, Michel ; Maskey, Sameer
Author_Institution :
Columbia Univ., New York, NY, USA
Volume :
5
fYear :
2005
fDate :
18-23 March 2005
Abstract :
In this paper, we present approaches used in text summarization, showing how they can be adapted for speech summarization and where they fall short. Informal style and apparent lack of structure in speech mean that the typical approaches used for text summarization must be extended for use with speech. We illustrate how features derived from speech can help determine summary content within two ongoing summarization projects at Columbia University.
Keywords :
feature extraction; speech recognition; text analysis; Columbia University; features; speech summarization; summary content; text summarization; Abstracts; Broadcasting; Data mining; Frequency; Humans; Natural languages; Speech coding; Speech recognition; Speech synthesis; Tides;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
ISSN :
1520-6149
Print_ISBN :
0-7803-8874-7
Type :
conf
DOI :
10.1109/ICASSP.2005.1416474
Filename :
1416474
Link To Document :
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