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» Universal background model based speech recognition
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AIPR
2005
IEEE
15 years 3 months ago
Face Recognition Using Multispectral Random Field Texture Models, Color Content, and Biometric Features
Most of the available research on face recognition has been performed using gray scale imagery. This paper presents a novel two-pass face recognition system that uses a Multispect...
Orlando J. Hernandez, Mitchell S. Kleiman
UAI
1997
14 years 11 months ago
Lexical Access for Speech Understanding using Minimum Message Length Encoding
The Lexical Access Problem consists of determining the intended sequence of words corresponding to an input sequence of phonemes (basic speech sounds) that come from a low-level p...
Ian E. Thomas, Ingrid Zukerman, Jonathan J. Oliver...
CVPR
2003
IEEE
15 years 12 months ago
A Bayesian Framework for Fusing Multiple Word Knowledge Models in Videotext Recognition
Videotext recognition is challenging due to low resolution, diverse fonts/styles, and cluttered background. Past methods enhanced recognition by using multiple frame averaging, im...
DongQing Zhang, Shih-Fu Chang
ICASSP
2010
IEEE
14 years 10 months ago
Robust spectro-temporal features based on autoregressive models of Hilbert envelopes
In this paper, we present a robust spectro-temporal feature extraction technique using autoregressive models (AR) of sub-band Hilbert envelopes. AR models of Hilbert envelopes are...
Sriram Ganapathy, Samuel Thomas, Hynek Hermansky
ICASSP
2011
IEEE
14 years 1 months ago
On the use of ideal binary masks for improving phonetic classification
Ideal binary masks are binary patterns that encode the masking characteristics of speech in noise. Recent evidence in speech perception suggests that such binary patterns provide ...
Arun Narayanan, DeLiang Wang