Iosif Tsangko — accepted AI-conference papers

2025

DFingerNet: Noise-Adaptive Speech Enhancement for Hearing Aids

Iosif Tsangko, Andreas Triantafyllopoulos, Michael Müller, Hendrik Schröter, Björn W. Schuller

ICASSP 2025accepted

The DeepFilterNet (DFN) architecture was recently proposed as a deep learning model suited for hearing aid devices. Despite its competitive performance on numerous benchmarks, it still follows a ‘one-size-fits-all’ approach, which aims to train a single, monolithic architecture that generalises acro…

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2024

Bringing the Discussion of Minima Sharpness to the Audio Domain: A Filter-Normalised Evaluation for Acoustic Scene Classification

Manuel Milling, Andreas Triantafyllopoulos, Iosif Tsangko, Simon David Noel Rampp, Björn Wolfgang Schuller

ICASSP 2024accepted

The correlation between the sharpness of loss minima and generalisation in the context of deep neural networks has been subject to discussion for a long time. Whilst mostly investigated in the context of selected benchmark data sets in the area of computer vision, we explore this aspect for the acou…

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