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» Features for audio and music classification
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ISMIR
2005
Springer
150views Music» more  ISMIR 2005»
15 years 3 months ago
Beatbox Classification Using ACE
This paper describes the use of the Autonomous Classification Engine (ACE) to classify beatboxing (vocal percussion) sounds. A set of unvoiced percussion sounds belonging to five ...
Elliot Sinyor, Cory McKay, Rebecca Fiebrink, Danie...
ICML
2007
IEEE
15 years 10 months ago
Self-taught learning: transfer learning from unlabeled data
We present a new machine learning framework called "self-taught learning" for using unlabeled data in supervised classification tasks. We do not assume that the unlabele...
Rajat Raina, Alexis Battle, Honglak Lee, Benjamin ...
ICPR
2008
IEEE
15 years 10 months ago
Audio-visual event classification via spatial-temporal-audio words
In this paper, we propose a generative model-based approach for audio-visual event classification. This approach is based on a new unsupervised learning method using an extended p...
Ming Li, Sanqing Hu, Shih-Hsi Liu, Sung Baang, Yu ...
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ICIP
2005
IEEE
15 years 3 months ago
Classification and representation of semantic content in broadcast tennis videos
This paper investigates the semantic analysis of broadcast tennis footage. We consider the spatio-temporal behaviour of an object in the footage as being the embodiment of a seman...
Niall Rea, Rozenn Dahyot, Anil C. Kokaram
ACSC
2005
IEEE
15 years 3 months ago
A Statistical-driven Approach for Automatic Classification of Events in AFL Video Highlights
Due to the repetitive and lengthy nature, automatic content-based summarization is essential to extract a more compact and interesting representation of sport video. State-of-the ...
Dian Tjondronegoro, Yi-Ping Phoebe Chen, Binh Pham