Tzirakis, Panagiotis

End-to-End Multimodal Emotion Recognition using Deep Neural Networks

Tzirakis, P., Trigeorgis, G., Nicolaou, M. A., Schuller, B., & Zafeiriou, S. (2017) · arXiv

Emotion and Mood RecognitionSpeech and Audio Processing

Cited by 752

End-to-end convolutional neural network enables COVID-19 detection from breath and cough audio: a pilot study

Coppock, H., Gaskell, A., Tzirakis, P., Baird, A., Jones, L., & Schuller, B. (2021) · BMJ Innovations

Phonocardiography and Auscultation TechniquesCOVID-19 diagnosis using AI

Cited by 108

End-to-end multimodal affect recognition in real-world environments

Tzirakis, P., Chen, J., Zafeiriou, S., & Schuller, B. (2021) · Information Fusion

Emotion and Mood RecognitionSentiment Analysis and Opinion Mining

Cited by 105

The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates

Schuller, B. W., Batliner, A., Bergler, C., Mascolo, C., Han, J., Lefter, I., Kaya, H., Amiriparian, S., Baird, A., Stappen, L., et al. (2021) · Interspeech 2021

Speech Recognition and SynthesisEmotion and Mood Recognition

Cited by 89