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» Lightly supervised and unsupervised acoustic model training
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VISUAL
2005
Springer
14 years 2 months ago
Unsupervised Color Film Restoration Using Adaptive Color Equalization
Chemical processing of celluloid based cinematic film, becomes unstable with time, unless they are stored at low temperatures. Some defects, such as bleaching on color movies, are ...
Alessandro Rizzi, Carlo Gatta, C. Slanzi, Gianluig...
ICASSP
2011
IEEE
13 years 9 days ago
A paired test for recognizer selection with untranscribed data
Traditionally, the use of untranscribed speech has been restricted to unsupervised or semi-supervised training of acoustic models. Comparison of recognizers has required labeled d...
Bhiksha Raj, Rita Singh, James Baker
BMCBI
2010
145views more  BMCBI 2010»
13 years 8 months ago
Clustering metagenomic sequences with interpolated Markov models
Background: Sequencing of environmental DNA (often called metagenomics) has shown tremendous potential to uncover the vast number of unknown microbes that cannot be cultured and s...
David R. Kelley, Steven L. Salzberg
NAACL
2004
13 years 10 months ago
Ensemble-based Active Learning for Parse Selection
Supervised estimation methods are widely seen as being superior to semi and fully unsupervised methods. However, supervised methods crucially rely upon training sets that need to ...
Miles Osborne, Jason Baldridge
NAACL
2007
13 years 10 months ago
Advances in the CMU/Interact Arabic GALE Transcription System
This paper describes the CMU/InterACT effort in developing an Arabic Automatic Speech Recognition (ASR) system for broadcast news and conversations within the GALE 2006 evaluation...
Mohamed Noamany, Thomas Schaaf, Tanja Schultz