Title
Sequential dependency analysis for online spontaneous speech processing
Abstract
A dependency structure interprets modification relationships between words and is often recognized as an important element in semantic information analysis. With conventional approaches for extracting this dependency structure, it is assumed that the complete sentence is known before the analysis starts. For spontaneous speech data, however, this assumption is not necessarily correct since sentence boundaries are not marked in the data and it is not easy to detect them correctly. Although sentence boundaries can be detected before dependency analysis, this cascaded implementation is not suitable for online processing since it delays the responses of the application. In this paper, we propose a sequential dependency analysis method for online spontaneous speech processing. The proposed method enables us to analyze incomplete sentences sequentially and detect sentence boundaries simultaneously. The analyzer can be trained using parsed data based on the maximum entropy principle. Experimental results using spontaneous lecture speech from the Corpus of Spontaneous Japanese show that our proposed method achieves online processing with an accuracy equivalent to that of offline processing in which boundary detection and dependency analysis are cascaded.
Year
DOI
Venue
2008
10.1016/j.specom.2008.04.008
Speech Communication
Keywords
Field
DocType
offline processing,sentence boundary detection,complete sentence,dependency analysis,dependency structure,sequential dependency analysis method,sequential dependency analysis,semantic information analysis,spontaneous speech,incomplete sentence,sentence boundary,online spontaneous speech processing,online processing,maximum entropy principle,dependence analysis
Speech processing,Pattern recognition,Edge detection,Computer science,Phrase,Speech recognition,Dependency structure,Artificial intelligence,Principle of maximum entropy,Parsing,Sentence,Online processing
Journal
Volume
Issue
ISSN
50
7
Speech Communication
Citations 
PageRank 
References 
2
0.38
20
Authors
3
Name
Order
Citations
PageRank
Takanobu Oba15312.09
Takaaki Hori240845.58
Atsushi Nakamura310812.67