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NECO
2010
53views more  NECO 2010»
13 years 5 months ago
Sound Retrieval and Ranking Using Sparse Auditory Representations
Richard F. Lyon, Martin Rehn, Samy Bengio, Thomas ...
ICASSP
2011
IEEE
12 years 11 months ago
Sparse coding of auditory features for machine hearing in interference
A key problem in using the output of an auditory model as the input to a machine-learning system in a machine-hearing application is to find a good feature-extraction layer. For ...
Richard F. Lyon, Jay Ponte, Gal Chechik
ICASSP
2008
IEEE
14 years 1 months ago
Unsupervised learning of auditory filter banks using non-negative matrix factorisation
Non-negative matrix factorisation (NMF) is an unsupervised learning technique that decomposes a non-negative data matrix into a product of two lower rank non-negative matrices. Th...
Alexander Bertrand, Kris Demuynck, Veronique Stout...
ICDM
2010
IEEE
122views Data Mining» more  ICDM 2010»
13 years 5 months ago
Learning Preferences with Millions of Parameters by Enforcing Sparsity
We study the retrieval task that ranks a set of objects for a given query in the pairwise preference learning framework. Recently researchers found out that raw features (e.g. word...
Xi Chen, Bing Bai, Yanjun Qi, Qihang Lin, Jaime G....
ICA
2004
Springer
14 years 25 days ago
Monaural Source Separation Using Spectral Cues
The acoustic environment poses at least two important challenges. First, animals must localise sound sources using a variety of binaural and monaural cues; and second they must sep...
Barak A. Pearlmutter, Anthony M. Zador