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Found 4 papers, 3 papers with code
Conditioned Time-Dilated Convolutions for Sound Event Detection
Sound event detection (SED) is the task of identifying sound events along with their onset and offset times.
Unsupervised Interpretable Representation Learning for Singing Voice Separation
In this work, we present a method for learning interpretable music signal representations directly from waveform signals.
Sound Event Detection with Depthwise Separable and Dilated Convolutions
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.
SignalTrain: Profiling Audio Compressors with Deep Neural Networks
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").
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