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» A New Method for ECG Signal Feature Extraction
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ICDAR
2011
IEEE
12 years 7 months ago
A New Feature Optimization Method Based on Two-Directional 2DLDA for Handwritten Chinese Character Recognition
—LDA transformation is one of the popular feature dimension reduction techniques for the feature extraction in most handwritten Chinese characters recognition systems. The integr...
Xue Gao, Wenhuan Wen, Lianwen Jin
ICASSP
2011
IEEE
12 years 11 months ago
Non-stationary feature extraction for automatic speech recognition
In current speech recognition systems mainly Short-Time Fourier Transform based features like MFCC are applied. Dropping the short-time stationarity assumption of the voiced speec...
Zoltán Tüske, Pavel Golik, Ralf Schl&u...
AIME
2005
Springer
14 years 1 months ago
Electrocardiographic Imaging: Towards Automated Interpretation of Activation Maps
Abstract. In present clinical practice, information about the heart electrical activity is routinely gathered through ECG’s, which record electrical potential from just nine site...
Liliana Ironi, Stefania Tentoni
MICAI
2007
Springer
14 years 1 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...
ICASSP
2010
IEEE
13 years 6 months ago
Feature extraction for robust speech recognition based on maximizing the sharpness of the power distribution and on power floori
This paper presents a new robust feature extraction algorithm based on a modified approach to power bias subtraction combined with applying a threshold to the power spectral dens...
Chanwoo Kim, Richard M. Stern