DocumentCode :
2951405
Title :
Parsing and its applications for conversational speech
Author :
Lease, Matthew ; Charniak, Eugene ; Johnson, Mark
Author_Institution :
Brown Lab. for Linguistic Inf. Process., Brown Univ., Providence, RI, USA
Volume :
5
fYear :
2005
fDate :
18-23 March 2005
Abstract :
This paper provides an introduction to recent work in statistical parsing and its applications for conversational speech, with particular emphasis on the relationship between parsing and detecting speech repairs. While historically parsing and repair detection have been studied independently, we present a line of research which has spanned the boundary between the two and demonstrated the efficacy of this synergistic approach. Our presentation highlights successes to date, remaining challenges, and promising future work.
Keywords :
grammars; meta data; speech recognition; statistical analysis; conversational speech; metadata detection; speech recognition accuracy; speech repair detection; statistical parsing; Acoustic signal detection; Data mining; Information processing; Laboratories; Natural languages; Speech processing; Speech recognition; Statistical analysis;
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.2005.1416465
Filename :
1416465
Link To Document :
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