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» Development of Neural Networks for Noise Reduction
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ICASSP
2011
IEEE
12 years 11 months ago
Localization of non-linguistic events in spontaneous speech by Non-Negative Matrix Factorization and Long Short-Term Memory
Features generated by Non-Negative Matrix Factorization (NMF) have successfully been introduced into robust speech processing, including noise-robust speech recognition and detect...
Felix Weninger, Björn Schuller, Martin Wö...
IJCNN
2008
IEEE
14 years 2 months ago
Long-term prediction of time series using NNE-based projection and OP-ELM
Abstract— This paper proposes a combination of methodologies based on a recent development –called Extreme Learning Machine (ELM)– decreasing drastically the training time of...
Antti Sorjamaa, Yoan Miche, Robert Weiss, Amaury L...
ICIP
2002
IEEE
14 years 9 months ago
A window-based color quantization technique and its embedded implementation
A new color quantization (CQ) technique and its VLSI implementation is introduced. It is based on image split into windows and uses Kohonen Self Organized Neural Network Classifie...
Antonios Atsalakis, Nikos Papamarkos, Dimitrios So...
ICDE
2007
IEEE
198views Database» more  ICDE 2007»
14 years 1 months ago
A Novel Visual Feature Extraction and Its Application in Vowel Recognition
Speech recognition techniques have been developed dramatically in recent years. Nevertheless, errors caused by environmental noise are still a serious problem in recognition. Empl...
Vahideh Sadat Sadeghi, Khashayar Yaghmaie
ESANN
2003
13 years 9 months ago
Locally Linear Embedding versus Isotop
Abstract. Recently, a new method intended to realize conformal mappings has been published. Called Locally Linear Embedding (LLE), this method can map high-dimensional data lying o...
John Aldo Lee, Cédric Archambeau, Michel Ve...