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» Features for audio and music classification
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ICASSP
2011
IEEE
14 years 1 months ago
Audio Signal Representations for Factorization in the Sparse Domain
In this paper, a new class of audio representations is introduced, together with a corresponding fast decomposition algorithm. The main feature of these representations is that th...
Manuel Moussallam, Laurent Daudet, Gaël Richa...
ICDM
2009
IEEE
165views Data Mining» more  ICDM 2009»
14 years 7 months ago
Audio Classification of Bird Species: A Statistical Manifold Approach
Our goal is to automatically identify which species of bird is present in an audio recording using supervised learning. Devising effective algorithms for bird species classificati...
Forrest Briggs, Raviv Raich, Xiaoli Z. Fern
ISMIR
2004
Springer
144views Music» more  ISMIR 2004»
15 years 3 months ago
Automatic Drum Sound Description for Real-World Music Using Template Adaptation and Matching Methods
This paper presents an automatic description system of drum sounds for real-world musical audio signals. Our system can represent onset times and names of drums by means of drum d...
Kazuyoshi Yoshii, Masataka Goto, Hiroshi G. Okuno
ISMIR
2000
Springer
190views Music» more  ISMIR 2000»
15 years 1 months ago
Music IR: Past, Present, and Future
Music Information Retrieval has a longer history than most people realise, with systems developed in the 1960's. The field has its roots in information retrieval, musicology ...
Alexandra L. Uitdenbogerd
TASLP
2010
105views more  TASLP 2010»
14 years 4 months ago
Non-Negative Tensor Factorization Applied to Music Genre Classification
Music genre classification techniques are typically applied to the data matrix whose columns are the feature vectors extracted from music recordings. In this paper, a feature vecto...
Emmanouil Benetos, Constantine Kotropoulos