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» Progress in example based automatic speech recognition
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TASLP
2008
120views more  TASLP 2008»
13 years 7 months ago
Rapid Speaker Adaptation Using Clustered Maximum-Likelihood Linear Basis With Sparse Training Data
Abstract-- Speaker space based adaptation methods for automatic speech recognition have been shown to provide significant performance improvements for tasks where only a few second...
Yun Tang, Richard Rose
ECML
2001
Springer
13 years 12 months ago
Learning of Variability for Invariant Statistical Pattern Recognition
In many applications, modelling techniques are necessary which take into account the inherent variability of given data. In this paper, we present an approach to model class speciļ...
Daniel Keysers, Wolfgang Macherey, Jörg Dahme...
ICPR
2002
IEEE
14 years 13 days ago
Using Eigen-Deformations in Handwritten Character Recognition
Deformations in handwritten characters have classdependent tendencies. For example, characters of class ā€œAā€ are often deformed by global slant transformation and never deforme...
Seiichi Uchida, Mohammad Asad Ronee, Hiroaki Sakoe
IJCNN
2000
IEEE
13 years 11 months ago
People Recognition and Pose Estimation in Image Sequences
This paper presents a system which learns from examples to automatically recognize people and estimate their poses in image sequences with the potential application to daily surve...
Chikahito Nakajima, Massimiliano Pontil, Tomaso Po...
ICASSP
2011
IEEE
12 years 11 months ago
Lattice-based unsupervised acoustic model training
Unsupervised acoustic model training has been successfully used to improve the performance of automatic speech recognition systems when only a small amount of manually transcribed...
Thiago Fraga-Silva, Jean-Luc Gauvain, Lori Lamel