859 citations · 1.1k across the 7 of their papers we have counts for
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cs.SD2022★ 2 cited
Learning General Audio Representations with Large-Scale Training of Patchout Audio Transformers
Khaled Koutini, Shahed Masoudian, Florian Schmid +3
The success of supervised deep learning methods is largely due to their ability to learn relevant features from raw data. Deep Neural Networks (DNNs) trained on large-scale dataset…
cs.SD2022★ 5 cited
Musika! Fast Infinite Waveform Music Generation
Marco Pasini, Jan Schlüter
Fast and user-controllable music generation could enable novel ways of composing or performing music. However, state-of-the-art music generation systems require large amounts of da…
cs.SD2022★ 3 cited
EfficientLEAF: A Faster LEarnable Audio Frontend of Questionable Use
Jan Schlüter, Gerald Gutenbrunner
In audio classification, differentiable auditory filterbanks with few parameters cover the middle ground between hard-coded spectrograms and raw audio. LEAF (arXiv:2101.08596), a G…