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» Features for audio and music classification
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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...
86
Voted
FUIN
2007
129views more  FUIN 2007»
14 years 9 months ago
Sound Isolation by Harmonic Peak Partition For Music Instrument Recognition
Abstract. Identification of music instruments in polyphonic sounds is difficult and challenging, especially where heterogeneous harmonic partials are overlapping with each other....
Xin Zhang, Zbigniew W. Ras
ICASSP
2007
IEEE
15 years 3 months ago
Discriminating Two Types of Noise Sources using Cortical Representation and Dimension Reduction Technique
Content-based audio classification techniques have focused on classifying events that are both semantically and perceptually distinct (such as speech, music, environmental sounds...
Shiva Sundaram, Shrikanth Narayanan
86
Voted
ICASSP
2011
IEEE
14 years 1 months ago
Audiovisual classification of vocal outbursts in human conversation using Long-Short-Term Memory networks
We investigate classification of non-linguistic vocalisations with a novel audiovisual approach and Long Short-Term Memory (LSTM) Recurrent Neural Networks as highly successful d...
Florian Eyben, Stavros Petridis, Björn Schull...
PAMI
2008
160views more  PAMI 2008»
14 years 9 months ago
Emotion Recognition Based on Physiological Changes in Music Listening
Little attention has been paid so far to physiological signals for emotion recognition compared to audiovisual emotion channels such as facial expression or speech. This paper inve...
Jonghwa Kim, Elisabeth André