|Name||Tags||Managed by||Created on||Updated on|
Hybrid recommender that considers real-world users information and high-level representation for audio data. We use a deep learning technique, convolutional deep neural networks, to represent an audio segment in a n ...
|python, deep, learning, estimation, distribution, algorithms, convolutional, neural, network||2015-06-29||2016-11-06|
Github repository for the parent project
This is an example CUDA C/C++ GPU implementation of a multirate FIR filter. It was made with the Vamp Tipic plugin in mind, but it can be used for any other application.
|feature extraction, cuda, real-time, audio analysis, algorithms, C/C++||Chris Cannam, Sebastian Ewert, Sofia Dimoudi||2016-09-16||2016-09-16|
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