Z. Zhao, Z. Bao, Y. Zhao, Z. Zhang, N. Cummins, Z. Ren, and B. Schuller, “Exploring Deep Spectrum Representations via Attention-based Recurrent and Convolutional Neural Networks for Speech Emotion Recognition,” IEEE Access, vol. 7, 2019. 10 pages, to appear.
F. Ringeval, B. Schuller, M. Valstar, N. Cummins, R. Cowie, M. Soleymani, M. Schmitt, S. Amiriparian, E.-M. Messner, L. Tavabi, S. Song, S. Alisamir, S. Lui, Z. Zhao, and M. Pantic, “AVEC 2019 Workshop and Challenge: State-of-Mind, Depression with AI, and Cross-Cultural Affect Recognition,” in Proceedings of the 9th International Workshop on Audio/Visual Emotion Challenge, AVEC’19, co-located with the 27th ACM International Conference on Multimedia, MM 2019 (F. Ringeval, B. Schuller, M. Valstar, N. Cummins, R. Cowie, and M. Pantic, eds.), (Niece, France), ACM, ACM, October 2018. 8 pages, to appear.
L. Stappen, N. Cummins, E.-M. Rathner, H. Baumeister, J. Dineley, and B. Schuller, “Context Modelling Using Hierarchical Attention Networks for Sentiment and Self-Assessed Emotion Detection in Spoken Narratives,” in Proceedings 44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019, (Brighton, UK), IEEE, IEEE, May 2019. 5 pages, to appear.
C. Li, Q. Zhang, Z. Zhao, L. Gu, N. Cummins, and B. Schuller, “Analysing and Inferring of Intimacy Based on fNIRS Signals and Peripheral Physiological Signals,” in Proceedings 32nd International Joint Conference on Neural Networks (IJCNN), (Budapest, Hungary), INNS/IEEE, IEEE, July 2019. 8 pages to appear
N. Cummins, F. Matcham, and B. Schuller, “Artificial Intelligence to aid the early detection of Mental Illness,” in Artificial Intelligence in Precision Health (D. Barh, ed.), Elsevier, 2019. 10 pages, invited contribution, to appear
Top Cited Publications
N. Cummins, S. Scherer, J. Krajewski, S. Schnieder, J. Epps, and T. F. Quatieri, “A review of depression and suicide risk assessment using speech analysis,” Speech Communication, vol. 71, pp. 10–49, July 2015
F. Ringeval, B. Schuller, M. Valstar, J. Gratch, R. Cowie, S. Scherer, S. Mozgai, N. Cummins, M. Schmitt, and M. Pantic, “AVEC 2017 – Real-life depression, and affect recognition workshop and challenge,” in Proceedings of the 7th International Workshop on Audio/Visual Emotion Challenge, AVEC’17, co-located with the 25th ACM International Conference on Multimedia, MM 2017 (F. Ringeval, M. Valstar, J. Gratch, B. Schuller, R. Cowie, and M. Pantic, eds.), (Mountain View CA), pp. 3–9, ACM, Oct. 2017
N. Cummins, J. Epps, M. Breakspear, and R. Goecke, “An investigation of depressed speech detection: Features and normalization,” in Proceedings of INTERSPEECH 2011, 12th Annual Conference of the International Speech Communication Association, (Florence, Italy), pp. 2997–3000, ISCA, Aug. 2011
N. Cummins, J. Joshi, A. Dhall, V. Sethu, R. Goecke, and J. Epps, “Diagnosis of depression by behavioural signals: A multimodal approach,” in Proceedings of the 3rd ACM international workshop on Audio/Visual Emotion Challenge, AVEC ’13, (Barcelona, Spain), pp. 11–20, ACM, Oct. 2013
S. Amiriparian, M. Gerczuk, S. Ottl, N. Cummins, M. Freitag, S. Pugachevskiy, and B. Schuller, “Snore sound classification using image-based deep spectrum features,” in Proceedings of INTERSPEECH 2017, 18th Annual Conference of the International Speech Communication Association, (Stockholm, Sweden), pp. 3512–3516, ISCA, Aug. 2017.