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» Features for audio and music classification
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ISMIR
2005
Springer
150views Music» more  ISMIR 2005»
15 years 5 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
16 years 18 days 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
16 years 1 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 ...
ICIP
2005
IEEE
15 years 5 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 5 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