activity
20162025
most citedAutomatic Liver and Tumor Segmentation of CT and MRI Volumes using Cascaded Fully Convolutional Neural Networks

186 citations · 275 across the 12 of their papers we have counts for

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6 papers · 1 filter

eess.AS2025★ 1 cited

Joint Spectrogram Separation and TDOA Estimation using Optimal Transport

Linda Fabiani, Sebastian J. Schlecht, Isabel Haasler +1

Separating sources is a common challenge in applications such as speech enhancement and telecommunications, where distinguishing between overlapping sounds helps reduce interferenc…

eess.AS2024★ 1 cited

Fade-in Reverberation in Multi-room Environments Using the Common-Slope Model

Kyung Yun Lee, Nils Meyer-Kahlen, Georg Götz +3

In multi-room environments, modelling the sound propagation is complex due to the coupling of rooms and diverse source-receiver positions. A common scenario is when the source and…

eess.AS2024★ 5 cited

Optimizing tiny colorless feedback delay networks

Gloria Dal Santo, Karolina Prawda, Sebastian J. Schlecht +1

A common bane of artificial reverberation algorithms is spectral coloration in the synthesized sound, typically manifesting as metallic ringing, leading to a degradation in the per…

eess.AS2024★ 6 cited

Deep Room Impulse Response Completion

Jackie Lin, Georg Götz, Sebastian J. Schlecht

Rendering immersive spatial audio in virtual reality (VR) and video games demands a fast and accurate generation of room impulse responses (RIRs) to recreate auditory environments…

eess.AS2023

Damping Density of an Absorptive Shoebox Room Derived from the Image-Source Method

Sebastian J. Schlecht, Karolina Prawda, Rudolf Rabenstein +1

The image-source method is widely applied to compute room impulse responses (RIRs) of shoebox rooms with arbitrary absorption. However, with increasing RIR lengths, the number of i…

eess.AS2022★ 3 cited

Neural network for multi-exponential sound energy decay analysis

Georg Götz, Ricardo Falcón Pérez, Sebastian J. Schlecht +1

An established model for sound energy decay functions (EDFs) is the superposition of multiple exponentials and a noise term. This work proposes a neural-network-based approach for…