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» A hierarchical point process model for speech recognition
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RIAO
2000
14 years 11 months ago
The Effect of Using Hierarchical Classifiers in Text Categorization
Given a set of categories, with or without a preexisting hierarchy among them, we consider the problem of assigning documents to one or more of these categories from the point of ...
Stephen D'Alessio, Keitha A. Murray, Robert Schiaf...
CORR
1998
Springer
153views Education» more  CORR 1998»
14 years 9 months ago
Identifying Discourse Markers in Spoken Dialog
In this paper, we present a method for identifying discourse marker usage in spontaneous speech based on machine learning. Discourse markers are denoted by special POS tags, and t...
Peter A. Heeman, Donna K. Byron, James F. Allen
ICASSP
2011
IEEE
14 years 1 months ago
Lattice-based unsupervised acoustic model training
Unsupervised acoustic model training has been successfully used to improve the performance of automatic speech recognition systems when only a small amount of manually transcribed...
Thiago Fraga-Silva, Jean-Luc Gauvain, Lori Lamel
ERCIMDL
2007
Springer
159views Education» more  ERCIMDL 2007»
15 years 4 months ago
Reducing Costs for Digitising Early Music with Dynamic Adaptation
Abstract. Optical music recognition (OMR) enables librarians to digitise early music sources on a large scale. The cost of expert human labour to correct automatic recognition erro...
Laurent Pugin, John Ashley Burgoyne, Ichiro Fujina...
IBPRIA
2007
Springer
15 years 1 months ago
A Simple But Effective Approach to Speaker Tracking in Broadcast News
The automatic transcription of broadcast news and meetings involves the segmentation, identification and tracking of speaker turns during each session, which is known as speaker di...
Luis Javier Rodríguez, Mikel Peñagar...