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20232026
most citedDynamic Convolutional Neural Networks as Efficient Pre-trained Audio Models

1 citations · 1 across the 15 of their papers we have counts for

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cs.SD2026

Restore, Separate, Restore: A Modular Framework for Music Source Restoration

Tobias Morocutti, Emmanouil Karystinaios, Gerhard Widmer

Music Source Restoration (MSR) seeks to recover original, unprocessed instrument stems from mixed, mastered, and possibly degraded recordings. Unlike conventional source separation…

cs.AI2026

Personalized Automatic Speech Recognition for a Dysarthric and Tracheostomic Speaker using Artificial Conversations

David Nadrchal, Monorama Swain, Florian Schmid +2

This work presents an automatic speech recognition (ASR) system personalized for a Czech speaker with a permanent tracheal stoma and severe dysarthria rendering their speech uninte…

cs.SD2026

On Temporal Binding in Large Audio Language Models

Paul Primus, Gerhard Widmer

Reasoning about temporal structure of audio recordings requires Large Audio Language Models (LALMs) to associate sound events with their temporal position. Understanding the underl…

eess.AS2026

RealDESED: A Real-World Domestic Sound Event Detection Benchmark

Florian Schmid, Paul Primus, Alexander Fichtinger +3

This paper presents RealDESED, a real-world domestic sound event detection (SED) benchmark comprising 5,710 audio recordings collected by 652 participants in their homes. Each reco…

cs.SD2026

Low-Latency Neural Models for Real-Time Music Enhancement

Emmanouil Karystinaios, Jonathan Greif, David Nadrchal +2

Music recordings and live streams are often affected by noise, reverberation, spectral imbalances, or artifacts that degrade listening quality. While speech enhancement has matured…

eess.AS2026

Sound Event Detection with Boundary-Aware Optimization and Inference

Florian Schmid, Chi Ian Tang, Sanjeel Parekh +9

Temporal detection problems appear in many fields including time-series estimation, activity recognition and sound event detection (SED). In this work, we propose a new approach to…