A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit <a rel="external noopener" href="https://repositori.upf.edu/bitstream/handle/10230/32187/Gomez_LVA-ICA2017_mono.pdf;jsessionid=894A92650452590F457BCF5DC5337052?sequence=1">the original URL</a>. The file type is <code>application/pdf</code>.
Monoaural Audio Source Separation Using Deep Convolutional Neural Networks
[chapter]
<span title="">2017</span>
<i title="Springer International Publishing">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a>
</i>
Preserved Fulltext
In this paper we introduce a low-latency monaural source separation framework using a Convolutional Neural Network (CNN). We use a CNN to estimate time-frequency soft masks which are applied for source separation. We evaluate the performance of the neural network on a database comprising of musical mixtures of three instruments: voice, drums, bass as well as other instruments which vary from song to song. The proposed architecture is compared to a Multilayer Perceptron (MLP), achieving on-par
<span class="external-identifiers">
<a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-319-53547-0_25">doi:10.1007/978-3-319-53547-0_25</a>
<a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/k254yklw35f5phskmdu4avaniu">fatcat:k254yklw35f5phskmdu4avaniu</a>
</span>
more »
... sults and a significant improvement in processing time. The algorithm was submitted to source separation evaluation campaigns to test efficiency, and achieved competitive results.
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180724024237/https://repositori.upf.edu/bitstream/handle/10230/32187/Gomez_LVA-ICA2017_mono.pdf;jsessionid=894A92650452590F457BCF5DC5337052?sequence=1" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext">
<button class="ui simple right pointing dropdown compact black labeled icon button serp-button">
<i class="icon ia-icon"></i>
Web Archive
[PDF]
<div class="menu fulltext-thumbnail">
<img src="https://blobs.fatcat.wiki/thumbnail/pdf/fe/de/fedef8eedef76692d805a6a3380159a95b79b4de.180px.jpg" alt="fulltext thumbnail" loading="lazy">
</div>
</button>
</a>
<a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-319-53547-0_25">
<button class="ui left aligned compact blue labeled icon button serp-button">
<i class="external alternate icon"></i>
springer.com
</button>
</a>