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» MAP-Based Perceptual Modeling for Noisy Speech Recognition
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TASLP
2008
154views more  TASLP 2008»
14 years 10 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...
DAGM
2008
Springer
15 years 2 days ago
Switching Linear Dynamic Models for Noise Robust In-Car Speech Recognition
Performance of speech recognition systems strongly degrades in the presence of background noise, like the driving noise in the interior of a car. We compare two different Kalman fi...
Björn Schuller, Martin Wöllmer, Tobias M...
ICMI
2004
Springer
281views Biometrics» more  ICMI 2004»
15 years 3 months ago
Articulatory features for robust visual speech recognition
Visual information has been shown to improve the performance of speech recognition systems in noisy acoustic environments. However, most audio-visual speech recognizers rely on a ...
Kate Saenko, Trevor Darrell, James R. Glass
COLING
1990
14 years 11 months ago
A Spelling Correction Program Based on a Noisy Channel Model
This paper describes a new program, correct, which takes words rejected by the Unix spell program, proposes a list of candidate corrections, and sorts them by probability. The pro...
Mark D. Kernighan, Kenneth Ward Church, William A....
NN
2004
Springer
111views Neural Networks» more  NN 2004»
15 years 3 months ago
The Analysis of Voice Quality in Speech Processing
Abstract. Voice quality has been defined as the characteristic auditory colouring of an individual's voice, derived from a variety of laryngeal and supralaryngeal features and...
Eric Keller