1164592
doi
10.5281/zenodo.1164592
oai:zenodo.org:1164592
Mimilakis, Stylianos Ioannis
Fraunhofer IDMT – Technical University of Ilmenau, Ilmenau, Germany
Serdyuk, Dmitriy
Montreal Institute for Learning Algorithms, University of Montreal, Montreal, Canada
Schuller, Gerald
Fraunhofer IDMT – Technical University of Ilmenau, Ilmenau, Germany
Virtanen, Tuomas
Audio Research Group, Lab. of Signal Processing, Tampere University of Technology
Bengio, Yoshua
Montreal Institute for Learning Algorithms, University of Montreal, Montreal, Canada
MaD TwinNet Pre-trained Weights
Drossos, Konstantinos
Audio Research Group, Lab. of Signal Processing, Tampere University of Technology
arxiv:arXiv:1802.00300
url:https://github.com/dr-costas/mad-twinnet
info:eu-repo/semantics/openAccess
Other (Non-Commercial)
<p>This .zip file contains the pre-trained weights for the <a href="http://arg.cs.tut.fi/demo/mad-twinnet">MaD TwinNet</a>. </p>
<p>In order to use them, you need the code of MaD TwinNet (available from <a href="https://github.com/dr-costas/mad-twinnet">here</a>). Code of MaD TwinNet is based on <a href="http://pytorch.org">PyTorch framework</a>. </p>
<p>All weights are serialized (i.e. saved to hard disk) to the disk using <a href="https://docs.python.org/3.6/library/pickle.html">Python 3.6v pickle package</a> and</p>
<pre><code class="language-python">protocol=2</code></pre>
<p><strong>Note bold:</strong> Software license of the MaD TwinNet code is also applied to these pre-trained weights. </p>
Zenodo
2018-02-02
info:eu-repo/semantics/other
1164591
1554816749.661182
101093479
md5:29aee648c5346b0fcd588844dc5c2aa7
https://zenodo.org/records/1164592/files/mad_twinnet_pretrained_weights.zip
public
arXiv:1802.00300
Is supplemented by
arxiv
https://github.com/dr-costas/mad-twinnet
Is supplement to
url
10.5281/zenodo.1164591
isVersionOf
doi