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» The Recognition Strategy Language
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ACL
1998
15 years 8 months ago
Neural Network Recognition of Spelling Errors
One area in which artificial neural networks (ANNs) may strengthen NLP systems is in the identification of words under noisy conditions. In order to achieve this benefit when spel...
Mark Lewellen
TASLP
2008
154views more  TASLP 2008»
15 years 6 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...
TASLP
2002
86views more  TASLP 2002»
15 years 6 months ago
High-level approaches to confidence estimation in speech recognition
Abstract--We describe some high-level approaches to estimating confidence scores for the words output by a speech recognizer. By "high-level" we mean that the proposed me...
Stephen Cox, Srinandan Dasmahapatra
BMVC
2010
15 years 4 months ago
Local Gaussian Processes for Pose Recognition from Noisy Inputs
Gaussian processes have been widely used as a method for inferring the pose of articulated bodies directly from image data. While able to model complex non-linear functions, they ...
Martin Fergie, Aphrodite Galata
ESORICS
2010
Springer
15 years 4 months ago
Speaker Recognition in Encrypted Voice Streams
Transmitting voice communication over untrusted networks puts personal information at risk. Although voice streams are typically encrypted to prevent unwanted eavesdropping, additi...
Michael Backes, Goran Doychev, Markus Dürmuth...