Alice Baird
Alice Baird
University of Augburg, Hume AI
Verified email at - Homepage
Cited by
Cited by
The interspeech 2016 computational paralinguistics challenge: Deception, sincerity and native language
B Schuller, S Steidl, A Batliner, J Hirschberg, JK Burgoon, A Baird, ...
Snore sound classification using image-based deep spectrum features
S Amiriparian, M Gerczuk, S Ottl, N Cummins, M Freitag, S Pugachevskiy, ...
Proceedings INTERSPEECH, 3512-3516, 2017
Speech analysis for health: current state-of-the-art and the increasing impact of deep learning
N Cummins, A Baird, BW Schuller
Methods 151, 41-54, 2018
The interspeech 2020 computational paralinguistics challenge: Elderly emotion, breathing & masks
BW Schuller, A Batliner, C Bergler, EM Messner, A Hamilton, ...
The interspeech 2018 computational paralinguistics challenge: Atypical & self-assessed affect, crying & heart beats
BW Schuller, S Steidl, A Batliner, PB Marschik, H Baumeister, F Dong, ...
Proceedings of INTERSPEECH, Hyderabad, India 5, 2018
Deep scalogram representations for acoustic scene classification
Z Ren, K Qian, Z Zhang, V Pandit, A Baird, B Schuller
IEEE/CAA Journal of Automatica Sinica 5 (3), 662-669, 2018
The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 cough, COVID-19 speech, escalation & primates
BW Schuller, A Batliner, C Bergler, C Mascolo, J Han, I Lefter, H Kaya, ...
Proceedings of Interspeech, Brno, Czechia, 5, 2021
End-to-end convolutional neural network enables COVID-19 detection from breath and cough audio: a pilot study
H Coppock, A Gaskell, P Tzirakis, A Baird, L Jones, B Schuller
BMJ Innovations, bmjinnov-2021-000668, 2021
Sentiment Analysis and Topic Recognition in Video Transcriptions
L Stappen, A Baird, E Cambria, BW Schuller
IEEE Intelligent Systems 36, 2, 2021
Abaw: Valence-arousal estimation, expression recognition, action unit detection & emotional reaction intensity estimation challenges
D Kollias, P Tzirakis, A Baird, A Cowen, S Zafeiriou
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
The MuSe 2021 Multimodal Sentiment Analysis Challenge: Sentiment, Emotion, Physiological-Emotion, and Stress
L Stappen, A Baird, L Christ, L Schumann, B Sertolli, EM Messner, ...
arXiv preprint arXiv:2104.07123, 2021
Emotional expression in psychiatric conditions: New technology for clinicians
K Grabowski, A Rynkiewicz, A Lassalle, S Baron‐Cohen, B Schuller, ...
Psychiatry and clinical neurosciences 73 (2), 50-62, 2019
StarGAN for Emotional Speech Conversion: Validated by Data Augmentation of End-To-End Emotion Recognition
G Rizos, A Baird, M Elliott, B Schuller
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
MuSe 2020 Challenge and Workshop: Multimodal Sentiment Analysis, Emotion-target Engagement and Trustworthiness Detection in Real-life Media: Emotional Car Reviews in-the-wild
L Stappen, A Baird, G Rizos, P Tzirakis, X Du, F Hafner, L Schumann, ...
Proceedings of the 1st International on Multimodal Sentiment Analysis in …, 2020
The multimodal sentiment analysis in car reviews (muse-car) dataset: Collection, insights and improvements
L Stappen, A Baird, L Schumann, B Schuller
IEEE Transactions on Affective Computing 14 (2), 1334-1350, 2021
Active learning for bird sound classification via a kernel-based extreme learning machine
K Qian, Z Zhang, A Baird, B Schuller
The Journal of the Acoustical Society of America 142 (4), 1796-1804, 2017
The MuSe 2022 Multimodal Sentiment Analysis Challenge: Humor, Emotional Reactions, and Stress
L Christ, S Amiriparian, A Baird, P Tzirakis, A Kathan, N Müller, L Stappen, ...
MuSe-Toolbox: The Multimodal Sentiment Analysis Continuous Annotation Fusion and Discrete Class Transformation Toolbox
L Stappen, L Schumann, B Sertolli, A Baird, B Weigell, E Cambria, ...
Proceedings of the 2nd on Multimodal Sentiment Analysis Challenge, 75-82, 2021
Automatic classification of autistic child vocalisations: A novel database and results
A Baird, S Amiriparian, N Cummins, AM Alcorn, A Batliner, ...
International Speech Communication Association 2017, 849-853, 2017
Machine Listening for Heart Status Monitoring: Introducing and Benchmarking HSS - the Heart Sounds Shenzhen Corpus
F Dong, K Qian, Z Ren, A Baird, X Li, Z Dai, B Dong, F Metze, ...
IEEE journal of biomedical and health informatics, 2019
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