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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
LREC
2010
133views Education» more  LREC 2010»
13 years 9 months ago
Improving Domain-specific Entity Recognition with Automatic Term Recognition and Feature Extraction
Domain specific entity recognition often relies on domain-specific knowledge to improve system performance. However, such knowledge often suffers from limited domain portability a...
Ziqi Zhang, José Iria, Fabio Ciravegna
ICPR
2002
IEEE
14 years 15 days ago
Feature Extraction Methods Applied to the Clustering of Electrocardiographic Signals. A Comparative Study
In this paper, a method to automatically extract the main information from a long-term electrocardiographic signal is presented. This method is based on techniques of pattern reco...
David Cuesta-Frau, Juan Carlos Pérez-Cortes...
ICMCS
2005
IEEE
147views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Comparing Feature Sets for Acted and Spontaneous Speech in View of Automatic Emotion Recognition
We present a data-mining experiment on feature selection for automatic emotion recognition. Starting from more than 1000 features derived from pitch, energy and MFCC time series, ...
Thurid Vogt, Elisabeth André