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» Towards Lower Error Rates in Phoneme Recognition
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77
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ACL
2001
14 years 11 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...
81
Voted
INFOCOM
2000
IEEE
15 years 1 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»
14 years 11 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 9 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 9 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