348 citations · 353 across the 5 of their papers we have counts for
5 papers
An Introduction to Silent Paralinguistics
Zhao Ren, Simon Pistrosch, Buket Coşkun +4
The ability to speak is an inherent part of human nature and fundamental to our existence as a social species. Unfortunately, this ability can be restricted in certain situations,…
Charting 15 years of progress in deep learning for speech emotion recognition: A replication study
Andreas Triantafyllopoulos, Anton Batliner, Björn W. Schuller
Speech emotion recognition (SER) has long benefited from the adoption of deep learning methodologies. Deeper models -- with more layers and more trainable parameters -- are general…
Non-Verbal Vocalisations and their Challenges: Emotion, Privacy, Sparseness, and Real Life
Anton Batliner, Shahin Amiriparian, Björn W. Schuller
Non-Verbal Vocalisations (NVVs) are short `non-word' utterances without proper linguistic (semantic) meaning but conveying connotations -- be this emotions/affects or other paralin…
INTERSPEECH 2009 Emotion Challenge Revisited: Benchmarking 15 Years of Progress in Speech Emotion Recognition
Andreas Triantafyllopoulos, Anton Batliner, Simon Rampp +2
We revisit the INTERSPEECH 2009 Emotion Challenge -- the first ever speech emotion recognition (SER) challenge -- and evaluate a series of deep learning models that are representat…
Dawn of the transformer era in speech emotion recognition: closing the valence gap
Johannes Wagner, Andreas Triantafyllopoulos, Hagen Wierstorf +4
Recent advances in transformer-based architectures which are pre-trained in self-supervised manner have shown great promise in several machine learning tasks. In the audio domain,…