Imperial College London, UK. Felix Weninger, Alexander Lehmann, Björn Schuller. Is a C framework and toolbox that provides Blind Source Separation for Audio Recognition Tasks. Its areas of application include, but are not limited to, instrument separation. Eg extraction of drum tracks from popular music, speech enhancement. It features various source separation algorithms, with a strong focus on variants of Non-Negative Matrix Factorization. We provide a demonstrator that uses various features of ope.

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MIR in action

Music, Information Retrieval, Research at Last. Thursday, 11 July 2013. A couple of months ago I left Last. To join the data science team at Mendeley. Thursday, 18 April 2013. Of CMU as a spin off from the impressive GraphLab. I also wrote a .

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Imperial College London, UK. Felix Weninger, Alexander Lehmann, Björn Schuller. Is a C framework and toolbox that provides Blind Source Separation for Audio Recognition Tasks. Its areas of application include, but are not limited to, instrument separation. Eg extraction of drum tracks from popular music, speech enhancement. It features various source separation algorithms, with a strong focus on variants of Non-Negative Matrix Factorization. We provide a demonstrator that uses various features of ope.

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This web site has the following on the web page, "Felix Weninger, Alexander Lehmann, Björn Schuller." We noticed that the web page also said " Is a C framework and toolbox that provides Blind Source Separation for Audio Recognition Tasks." It also said " Its areas of application include, but are not limited to, instrument separation. Eg extraction of drum tracks from popular music, speech enhancement. It features various source separation algorithms, with a strong focus on variants of Non-Negative Matrix Factorization. We provide a demonstrator that uses various features of ope."

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