Schuller, Björn

Personalised depression forecasting using mobile sensor data and ecological momentary assessment

Kathan, A., Harrer, M., Küster, L., Triantafyllopoulos, A., He, X., Milling, M., Gerczuk, M., Yan, T., Rajamani, S. T., Heber, E., et al. (2022) · Frontiers in Digital Health

Mental Health Research TopicsDigital Mental Health Interventions

Cited by 47

Considerations for a more ethical approach to data in AI: On data representation and infrastructure

Baird, A., & Schuller, B. (2020) · Frontiers in Big Data

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 46

Tandem decoding of children's speech for keyword detection in a child-robot interaction scenario

Wöllmer, M., Schuller, B., Batliner, A., Steidl, S., & Seppi, D. (2011) · ACM Transactions on Speech and Language Processing

Speech Recognition and SynthesisSpeech and dialogue systems

Cited by 18

Sparks of Large Audio Models: A Survey and Outlook

Latif, S., Shoukat, M., Shamshad, F., Usama, M., Ren, Y., Cuayáhuitl, H., Wang, W., Zhang, X., Togneri, R., Cambria, E., et al. (2023) · arXiv

Speech Recognition and SynthesisMusic and Audio Processing

Cited by 17

Uncertainty-Aware Machine Support for Paper Reviewing on the Interspeech 2019 Submission Corpus

Stappen, L., Rizos, G., Hasan, M., Hain, T., & Schuller, B. W. (2020) · Interspeech 2020

Computational and Text Analysis MethodsTopic Modeling

Cited by 15