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» Analysis of Sound Features for Music Timbre Recognition
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ICASSP
2009
IEEE
13 years 11 months ago
Strategies for modeling reverberant speech in the feature domain
The length of the room impulse response characterizing the acoustic path between speaker and microphone is significantly larger than the length of the analysis window used for fea...
Armin Sehr, Walter Kellermann
SIGIR
2010
ACM
13 years 11 months ago
Effective music tagging through advanced statistical modeling
Music information retrieval (MIR) holds great promise as a technology for managing large music archives. One of the key components of MIR that has been actively researched into is...
Jialie Shen, Wang Meng, Shuichang Yan, HweeHwa Pan...
ECAI
2004
Springer
14 years 27 days ago
Automatic Recognition of Famous Artists by Machine
The paper addresses the question whether it is possible for a machine to learn to distinguish and recognise famous musicians (concert pianists), based on their style of playing. We...
Gerhard Widmer, Patrick Zanon
ICMCS
2005
IEEE
145views Multimedia» more  ICMCS 2005»
14 years 1 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
13 years 11 months ago
Appearance Based Behavior Recognition by Event Driven Selective Attention
Most of behavior recognition methods proposed so far share the limitations of bottom-up analysis, and singleobject assumption; the bottom-up analysis can be confused by erroneous ...
Toshikazu Wada, Takashi Matsuyama