755 citations · 1.4k across the 24 of their papers we have counts for
6 papers · 1 filter
Facial Emotion Recognition using Deep Residual Networks in Real-World Environments
Panagiotis Tzirakis, Dénes Boros, Elnar Hajiyev +1
Automatic affect recognition using visual cues is an important task towards a complete interaction between humans and machines. Applications can be found in tutoring systems and hu…
Evaluating the COVID-19 Identification ResNet (CIdeR) on the INTERSPEECH COVID-19 from Audio Challenges
Alican Akman, Harry Coppock, Alexander Gaskell +3
We report on cross-running the recent COVID-19 Identification ResNet (CIdeR) on the two Interspeech 2021 COVID-19 diagnosis from cough and speech audio challenges: ComParE and DiCO…
Speech Emotion Recognition using Semantic Information
Panagiotis Tzirakis, Anh Nguyen, Stefanos Zafeiriou +1
Speech emotion recognition is a crucial problem manifesting in a multitude of applications such as human computer interaction and education. Although several advancements have been…
The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates
Björn W. Schuller, Anton Batliner, Christian Bergler +21
The INTERSPEECH 2021 Computational Paralinguistics Challenge addresses four different problems for the first time in a research competition under well-defined conditions: In the CO…
Multi-Channel Speech Enhancement using Graph Neural Networks
Panagiotis Tzirakis, Anurag Kumar, Jacob Donley
Multi-channel speech enhancement aims to extract clean speech from a noisy mixture using signals captured from multiple microphones. Recently proposed methods tackle this problem b…
End-2-End COVID-19 Detection from Breath & Cough Audio
Harry Coppock, Alexander Gaskell, Panagiotis Tzirakis +3
Our main contributions are as follows: (I) We demonstrate the first attempt to diagnose COVID-19 using end-to-end deep learning from a crowd-sourced dataset of audio samples, achie…