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» Towards Lower Error Rates in Phoneme Recognition
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ACL
2001
15 years 1 months ago
Multi-Class Composite N-gram Language Model for Spoken Language Processing Using Multiple Word Clusters
In this paper, a new language model, the Multi-Class Composite N-gram, is proposed to avoid a data sparseness problem for spoken language in that it is difficult to collect traini...
Hirofumi Yamamoto, Shuntaro Isogai, Yoshinori Sagi...
INFOCOM
2000
IEEE
15 years 4 months ago
On Service Models for Multicast Transmission in Heterogeneous Environments
– We examine in this paper the tradeoff between application complexity, network complexity, and network efficiency. We argue that the design of the current Internet reflects a ...
Matthias Grossglauser, Jean-Chrysostome Bolot
LREC
2010
173views Education» more  LREC 2010»
15 years 1 months ago
Transcriber Driving Strategies for Transcription Aid System
Speech recognition technology suffers from a lack of robustness which limits its usability for fully automated speech-to-text transcription, and manual correction is generally req...
Grégory Senay, Georges Linares, Benjamin Le...
LRE
2006
173views more  LRE 2006»
14 years 11 months ago
Automatic induction of language model data for a spoken dialogue system
When building a new spoken dialogue application, large amounts of domain specific data are required. This paper addresses the issue of generating in-domain training data when litt...
Chao Wang, Grace Chung, Stephanie Seneff
BMCBI
2004
176views more  BMCBI 2004»
14 years 11 months ago
Boosting accuracy of automated classification of fluorescence microscope images for location proteomics
Background: Detailed knowledge of the subcellular location of each expressed protein is critical to a full understanding of its function. Fluorescence microscopy, in combination w...
Kai Huang, Robert F. Murphy