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ICDAR
2007
IEEE
14 years 2 months ago
Context-Sensitive Error Correction: Using Topic Models to Improve OCR
Modern optical character recognition software relies on human interaction to correct misrecognized characters. Even though the software often reliably identifies low-confidence ...
Michael L. Wick, Michael G. Ross, Erik G. Learned-...
ACSC
2004
IEEE
14 years 7 days ago
Learning Models for English Speech Recognition
This paper reports on an experiment to determine the optimal parameters for a speech recogniser that is part of a computer aided instruction system for assisting learners of Engli...
Huayang Xie, Peter Andreae, Mengjie Zhang, Paul Wa...
TASLP
2008
154views more  TASLP 2008»
13 years 8 months ago
Capturing Local Variability for Speaker Normalization in Speech Recognition
The new model reduces the impact of local spectral and temporal variability by estimating a finite set of spectral and temporal warping factors which are applied to speech at the f...
Antonio Miguel, Eduardo Lleida, Richard Rose, Luis...
ICASSP
2009
IEEE
13 years 6 months ago
Unsupervised speaker adaptation for telephone call transcription
The use of the PC and Internet for placing telephone calls will present new opportunities to capture vast amounts of un-transcribed speech for a particular speaker. This paper inv...
R. Wallace, Kishan Thambiratnam, Frank Seide
CICLING
2003
Springer
14 years 1 months ago
Experiments with Linguistic Categories for Language Model Optimization
In this work1 we obtain robust category-based language models to be integrated into speech recognition systems. Deductive rules are used to select linguistic categories and to matc...
Arantza Casillas, Amparo Varona, Inés Torre...