Search Results for author: Christian J. Steinmetz

Found 4 papers, 3 papers with code

Filtered Noise Shaping for Time Domain Room Impulse Response Estimation From Reverberant Speech

no code implementations15 Jul 2021 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 both in audio post-production and augmented reality.

Efficient Neural Networks for Real-time Analog Audio Effect Modeling

1 code implementation11 Feb 2021 Christian J. Steinmetz, Joshua D. Reiss

Deep learning approaches have demonstrated success in the task of modeling analog audio effects such as distortion and overdrive.

Automatic multitrack mixing with a differentiable mixing console of neural audio effects

1 code implementation20 Oct 2020 Christian J. Steinmetz, Jordi Pons, Santiago Pascual, Joan Serrà

Applications of deep learning to automatic multitrack mixing are largely unexplored.

Audio and Speech Processing Sound

Randomized Overdrive Neural Networks

1 code implementation8 Oct 2020 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.

Audio and Speech Processing Sound

Cannot find the paper you are looking for? You can Submit a new open access paper.