348 citations · 534 across the 53 of their papers we have counts for
5 papers · 2 filters
Bringing the Discussion of Minima Sharpness to the Audio Domain: a Filter-Normalised Evaluation for Acoustic Scene Classification
Manuel Milling, Andreas Triantafyllopoulos, Iosif Tsangko +2
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 investi…
Exploring Meta Information for Audio-based Zero-shot Bird Classification
Alexander Gebhard, Andreas Triantafyllopoulos, Teresa Bez +3
Advances in passive acoustic monitoring and machine learning have led to the procurement of vast datasets for computational bioacoustic research. Nevertheless, data scarcity is sti…
U-DiT TTS: U-Diffusion Vision Transformer for Text-to-Speech
Xin Jing, Yi Chang, Zijiang Yang +3
Deep learning has led to considerable advances in text-to-speech synthesis. Most recently, the adoption of Score-based Generative Models (SGMs), also known as Diffusion Probabilist…
The ACM Multimedia 2023 Computational Paralinguistics Challenge: Emotion Share & Requests
Björn W. Schuller, Anton Batliner, Shahin Amiriparian +10
The ACM Multimedia 2023 Computational Paralinguistics Challenge addresses two different problems for the first time in a research competition under well-defined conditions: In the…
HEAR4Health: A blueprint for making computer audition a staple of modern healthcare
Andreas Triantafyllopoulos, Alexander Kathan, Alice Baird +20
Recent years have seen a rapid increase in digital medicine research in an attempt to transform traditional healthcare systems to their modern, intelligent, and versatile equivalen…