activity
20202023
most citedSaturating Receiver and Receptor Competition in Synaptic DMC: Deterministic and Statistical Signal Models

12 citations · 13 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SD2023

Performance Conditioning for Diffusion-Based Multi-Instrument Music Synthesis

Ben Maman, Johannes Zeitler, Meinard Müller +1

Generating multi-instrument music from symbolic music representations is an important task in Music Information Retrieval (MIR). A central but still largely unsolved problem in thi…

eess.AS2023

Stabilizing Training with Soft Dynamic Time Warping: A Case Study for Pitch Class Estimation with Weakly Aligned Targets

Johannes Zeitler, Simon Deniffel, Michael Krause +1

Soft dynamic time warping (SDTW) is a differentiable loss function that allows for training neural networks from weakly aligned data. Typically, SDTW is used to iteratively compute…

eess.AS2021

Manifold learning-supported estimation of relative transfer functions for spatial filtering

Andreas Brendel, Johannes Zeitler, Walter Kellermann

Many spatial filtering algorithms used for voice capture in, e.g., teleconferencing applications, can benefit from or even rely on knowledge of Relative Transfer Functions (RTFs).…

cs.ET2021★ 12 cited

Saturating Receiver and Receptor Competition in Synaptic DMC: Deterministic and Statistical Signal Models

Sebastian Lotter, Maximilian Schäfer, Johannes Zeitler +1

Synaptic communication is based on a biological Molecular Communication (MC) system which may serve as a blueprint for the design of synthetic MC systems. However, the physical mod…

cs.ET2020★ 1 cited

Receptor Saturation Modeling for Synaptic DMC

Sebastian Lotter, Maximilian Schäfer, Johannes Zeitler +1

Synaptic communication is a natural Molecular Communication (MC) system which may serve as a blueprint for the design of synthetic MC systems. In particular, it features highly spe…