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