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» Independent component analysis for noisy speech recognition
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SSPR
2004
Springer
15 years 7 months ago
Finding Clusters and Components by Unsupervised Learning
We present a tutorial survey on some recent approaches to unsupervised machine learning in the context of statistical pattern recognition. In statistical PR, there are two classica...
Erkki Oja
MICAI
2007
Springer
15 years 8 months ago
Auditory Cortical Representations of Speech Signals for Phoneme Classification
The use of biologically inspired, feature extraction methods has improved the performance of artificial systems that try to emulate some aspect of human communication. Recent tech...
Hugo Leonardo Rufiner, César E. Martí...
TNN
2010
227views Management» more  TNN 2010»
14 years 8 months ago
Self-Organizing MultiLayer Perceptron
Abstract--A set of Artificial Neural Network (ANN) based methods for the design of an effective system of speech recognition of numerals of Assamese language captured under varied ...
B. Gas
ICASSP
2008
IEEE
15 years 8 months ago
A study of using locality preserving projections for feature extraction in speech recognition
This paper presents a new approach to feature analysis in automatic speech recognition (ASR) based on locality preserving projections (LPP). LPP is a manifold based dimensionality...
Yun Tang, Richard Rose
CAIP
2007
Springer
106views Image Analysis» more  CAIP 2007»
15 years 8 months ago
A New Manifold Representation for Visual Speech Recognition
In this paper, we propose a new manifold representation capable of being applied for visual speech recognition. In this regard, the real time input video data is compressed using P...
Dahai Yu, Ovidiu Ghita, Alistair Sutherland, Paul ...