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ICMCS
2006
IEEE
162views Multimedia» more  ICMCS 2006»
13 years 11 months ago
Musical Signal Type Discrimination based on Large Open Feature Sets
Automatic discrimination of musical signal types as speech, singing, music, genres or drumbeats within audio streams is of great importance e.g. for radio broadcast stream segment...
Björn Schuller, Frank Wallhoff, Dejan Arsic, ...
ICMCS
2005
IEEE
116views Multimedia» more  ICMCS 2005»
13 years 10 months ago
Speaker Independent Speech Emotion Recognition by Ensemble Classification
Emotion recognition grows to an important factor in future media retrieval and man machine interfaces. However, even human deciders often experience problems realizing one’s emo...
Björn Schuller, Stephan Reiter, Ronald Mü...
ICMCS
2005
IEEE
145views Multimedia» more  ICMCS 2005»
13 years 10 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...
ICASSP
2011
IEEE
12 years 8 months ago
An SVM based classification approach to speech separation
Monaural speech separation is a very challenging task. CASAbased systems utilize acoustic features to produce a time-frequency (T-F) mask. In this study, we propose a classificat...
Kun Han, DeLiang Wang
ICASSP
2011
IEEE
12 years 8 months ago
Hierarchical audio classification using cepstral modulation ratio regressions based on Legendre polynomials
In this work we present a scalable feature set which is obtained by fitting orthogonal polynomials to the normalized modulation spectrum of cepstral coefficients and which can b...
Anil M. Nagathil, Peter Gottel, Rainer Martin