no code implementations • 10 Jul 2020 • Konstantinos Drossos, Stylianos I. Mimilakis, Tuomas Virtanen
Sound event detection (SED) is the task of identifying sound events along with their onset and offset times.
1 code implementation • 3 Mar 2020 • Stylianos I. Mimilakis, Konstantinos Drossos, Gerald Schuller
In this work, we present a method for learning interpretable music signal representations directly from waveform signals.
1 code implementation • 2 Feb 2020 • Konstantinos Drossos, Stylianos I. Mimilakis, Shayan Gharib, Yanxiong Li, Tuomas Virtanen
The number of the channels of the CNNs and size of the weight matrices of the RNNs have a direct effect on the total amount of parameters of the SED method, which is to a couple of millions.
1 code implementation • 28 May 2019 • Scott H. Hawley, Benjamin Colburn, Stylianos I. Mimilakis
In this work we present a data-driven approach for predicting the behavior of (i. e., profiling) a given non-linear audio signal processing effect (henceforth "audio effect").