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» Features for Content-Based Audio Retrieval
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ICPR
2006
IEEE
14 years 2 months ago
Audio Segmentation and Speaker Localization in Meeting Videos
Segmenting different individuals in a group meeting and their speech is an important first step for various tasks such as meeting transcription, automatic camera panning, multime...
Himanshu Vajaria, Tanmoy Islam, Sudeep Sarkar, Rav...
MIR
2010
ACM
217views Multimedia» more  MIR 2010»
14 years 1 months ago
Feature selection for content-based, time-varying musical emotion regression
In developing automated systems to recognize the emotional content of music, we are faced with a problem spanning two disparate domains: the space of human emotions and the acoust...
Erik M. Schmidt, Douglas Turnbull, Youngmoo E. Kim
ISMIR
2005
Springer
160views Music» more  ISMIR 2005»
14 years 2 months ago
Finding An Optimal Segmentation for Audio Genre Classification
In the automatic classification of music many different segmentations of the audio signal have been used to calculate features. These include individual short frames (23 ms), lon...
Kris West, Stephen Cox
ICASSP
2011
IEEE
13 years 10 days ago
Audio recognition in the wild: Static and dynamic classification on a real-world database of animal vocalizations
We present a study on purely data-based recognition of animal sounds, performing evaluation on a real-world database obtained from the Humboldt-University Animal Sound Archive. As...
Felix Weninger, Björn Schuller
ISMIR
2005
Springer
185views Music» more  ISMIR 2005»
14 years 2 months ago
A Benchmark Dataset for Audio Classification and Clustering
We present a freely available benchmark dataset for audio classification and clustering. This dataset consists of 10 seconds samples of 1886 songs obtained from the Garageband si...
Helge Homburg, Ingo Mierswa, Bülent Möll...