6 citations · 6 across the 2 of their papers we have counts for
4 papers
WaveBeat: End-to-end beat and downbeat tracking in the time domain
Christian J. Steinmetz, Joshua D. Reiss
Deep learning approaches for beat and downbeat tracking have brought advancements. However, these approaches continue to rely on hand-crafted, subsampled spectral features as input…
Filtered Noise Shaping for Time Domain Room Impulse Response Estimation From Reverberant Speech
Christian J. Steinmetz, Vamsi Krishna Ithapu, Paul Calamia
Deep learning approaches have emerged that aim to transform an audio signal so that it sounds as if it was recorded in the same room as a reference recording, with applications bot…
Automatic multitrack mixing with a differentiable mixing console of neural audio effects
Christian J. Steinmetz, Jordi Pons, Santiago Pascual +1
Applications of deep learning to automatic multitrack mixing are largely unexplored. This is partly due to the limited available data, coupled with the fact that such data is relat…
Randomized Overdrive Neural Networks
Christian J. Steinmetz, Joshua D. Reiss
By processing audio signals in the time-domain with randomly weighted temporal convolutional networks (TCNs), we uncover a wide range of novel, yet controllable overdrive effects.…