collaborators

18 papers

eess.AS2026

Is Natural Always Appropriate? Investigating Naturalness and Appropriateness Across Different Domains for TTS Evaluation

Dominika Woszczyk, Andreas Triantafyllopoulos, Jura Miniota +2

Text-to-speech (TTS) evaluation is an open challenge. While the primary target was "naturalness," recent fidelity gains shifted focus toward "appropriateness" and whether speech is…

cs.SD2026

CoughPhase-CLR: Designing an acoustics-informed foundation model for coughing sound classification

Marius Moldovan, Anton Batliner, Thomas M. Berghaus +2

In this work, we introduce CoughPhase-CLR, a self-supervised learning framework designed to leverage the physiological phases of a cough for robust representation learning. Unlike…

cs.SD2026

Acoustic Cue Alignment in Audio Language Models for Speech Emotion Recognition

Iosif Tsangko, Andreas Triantafyllopoulos, Björn W. Schuller

Instruction-following audio language models (ALMs) can be augmented with explicit acoustic cues, yet it remains unclear whether such cues are used in a grounded way when the raw au…

cs.MM2026

A Pilot Study on Curator-Guided Multilingual Art Description for Blind and Low-Vision Audiences with Small Vision-Language Models

Iosif Tsangko, Andreas Triantafyllopoulos, George Margetis +2

Blind and low-vision (BLV) audiences remain underserved by visual art descriptions, particularly across languages and in museum settings where privacy and intellectual-property con…

cs.SD2026

CoarseSoundNet: Building a reliable model for ecological soundscape analysis

Alexander Gebhard, Andreas Triantafyllopoulos, Dominik Arend +4

A soundscape is composed of three types of sound: biophony (sounds made by animals), geophony (natural abiotic sounds) and anthropophony (sounds made by humans). A key research que…

cs.SD2026

A conceptual framework for learning to listen by reward: Curiosity-driven search for novel sources

Andreas Triantafyllopoulos, Jakub Šťastný, Alexios Terpinas +3

Reinforcement learning is a powerful learning paradigm that has spearheaded progress in numerous domains. Its core promise lies in learning through high-level goals without the nee…