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» Temporal Feature Selection for Noisy Speech Recognition
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CIARP
2006
Springer
15 years 1 months ago
Feature Selection Based on Mutual Correlation
Feature selection is a critical procedure in many pattern recognition applications. There are two distinct mechanisms for feature selection namely the wrapper methods and the filte...
Michal Haindl, Petr Somol, Dimitrios Ververidis, C...
ICMCS
2005
IEEE
145views Multimedia» more  ICMCS 2005»
15 years 3 months ago
From Physiological Signals to Emotions: Implementing and Comparing Selected Methods for Feature Extraction and Classification
Little attention has been paid so far to physiological signals for emotion recognition compared to audio-visual emotion channels, such as facial expressions or speech. In this pap...
Johannes Wagner, Jonghwa Kim, Elisabeth Andr&eacut...
CVPR
1998
IEEE
15 years 12 months ago
Action Recognition Using Probabilistic Parsing
A new approach to the recognition of temporal behaviors and activities is presented. The fundamental idea, inspired by work in speech recognition, is to divide the inference probl...
Aaron F. Bobick, Yuri A. Ivanov
SPEAKERC
2007
Springer
140views Biometrics» more  SPEAKERC 2007»
15 years 4 months ago
Higher-Level Features in Speaker Recognition
Higher-level features based on linguistic or long-range information have attracted significant attention in automatic speaker recognition. This article briefly summarizes approac...
Elizabeth Shriberg
INTERSPEECH
2010
14 years 4 months ago
Revisiting VTLN using linear transformation on conventional MFCC
In this paper, we revisit the linear transformation for VTLN on conventional MFCC proposed by Sanand et al. in [1], using the idea of band-limited interpolation. The filter-bank i...
Doddipatla Rama Sanand, Ralf Schlüter, Herman...