activity
20212023
most citedStyle Transfer of Audio Effects with Differentiable Signal Processing

3 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SD20231 cited

Modulation Extraction for LFO-driven Audio Effects

Christopher Mitcheltree, Christian J. Steinmetz, Marco Comunità +1

Low frequency oscillator (LFO) driven audio effects such as phaser, flanger, and chorus, modify an input signal using time-varying filters and delays, resulting in characteristic s…

eess.AS2023

Leveraging Neural Representations for Audio Manipulation

Scott H. Hawley, Christian J. Steinmetz

We investigate applying audio manipulations using pretrained neural network-based autoencoders as an alternative to traditional signal processing methods, since the former may prov…

quant-ph20222 cited

Quantum Register Algebra: the mathematical language for quantum computing

Jaroslav Hrdina, Dietmar Hildenbrand, Aleš Návrat +5

We introduce Quantum Register Algebra (QRA) as an efficient tool for quantum computing. We show the direct link between QRA and Dirac formalism. We present GAALOP (Geometric Algebr…

cs.SD20223 cited

Style Transfer of Audio Effects with Differentiable Signal Processing

Christian J. Steinmetz, Nicholas J. Bryan, Joshua D. Reiss

We present a framework that can impose the audio effects and production style from one recording to another by example with the goal of simplifying the audio production process. We…

eess.AS2021

Steerable discovery of neural audio effects

Christian J. Steinmetz, Joshua D. Reiss

Applications of deep learning for audio effects often focus on modeling analog effects or learning to control effects to emulate a trained audio engineer. However, deep learning ap…