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Publikationen


Journal Articles

  • O. Rudovic, J. Lee, M. Dai, B. Schuller, and R. W. Picard, “Personalized machine learning for robot perception of affect and engagement in autism therapy,” Science Robotics, vol. 3, June 2018. 11 pages [link]
  • S. Hantke, A. Abstreiter, N. Cummins, and B. Schuller, “Trustability-based Dynamic Active Learning for Crowdsourced Labelling of Emotional Audio Data,” IEEE Access, vol. 6, 2018. 12 pages, to appear
  • D. Schuller and B. Schuller, “The Age of Artificial Emotional Intelligence,” IEEE Computer Magazine, Special Issue on The Future of Artificial Intelligence, vol. 51, September 2018, to appear
  • B. Schuller, “What Affective Computing Reveals on Autistic Children’s Face of Joy or Fear.,” IEEE Computer Magazine, vol. 51, 2018. 2 pages, to appear
  • B. Schuller, “Speech Emotion Recognition: Two Decades in a Nutshell, Benchmarks, and Ongoing Trends,” Communications of the ACM, vol. 61, no. 5, 2018, pp. 90-99. [pdf] 
  • B. Schuller, F. Weninger, Y. Zhang, F. Ringeval, A. Batliner, S. Steidl, F. Eyben, E. Marchi, A. Vinciarelli, K. Scherer, M. Chetouani, and M. Mortillaro, “Affective and Behavioural Computing: Lessons Learnt from the First Computational Paralinguistics Challenge,” Computer Speech and Language, vol. 32, 2018. 25 pages, to appear
  • K. Qian, C. Janott, Z. Zhang, J. Deng, A. Baird, C. Heiser, W. Hohenhorst, M. Herzog, W. Hemmer, and B. Schuller, “Teaching Machines on Snoring: A Benchmark on Computer Audition for Snore Sound Excitation Localisation,” Archives of Acoustics, vol. 43, 2018. 17 pages, to appear
  • Z. Zhang, J. Han, J. Deng, X. Xu, F. Ringeval, and B. Schuller, “Leveraging Unlabelled Data for Emotion Recognition with Enhanced Collaborative Semi-Supervised Learning,” IEEE Access, vol. 6, 2018. 13 pages, [pdf]
  • Z. Ren, K. Qian, Z. Zhang, V. Pandit, A. Baird, and B. Schuller, “Deep Scalogram Representations for Acoustic Scene Classification,” IEEE/CAA Journal of Automatica Sinica, 2018. vol. 5, no. 3, 2018. pp. 662-669 [pdf]
  • M. Freitag, S. Amiriparian, S. Pugachevskiy, N. Cummins, and B. Schuller, “auDeep: Unsupervised Learning of Representations from Audio with Deep Recurrent Neural Networks,” Journal of Machine Learning Research, vol. 19, 2018. 5 pages, to appear [pdf]
  • A. Baird, S. H. Jorgensen, E. Parada-Cabaleiro, S. Hantke, N. Cummins, and B. Schuller, “Listener Perception of Vocal Traits in Synthesized Voices: Age, Gender, and Human-Likeness,” Journal of the Audio Engineering Society, Special Issue on Augmented and Participatory Sound and Music Interaction using Semantic Audio, vol. 66, 2018. 8 pages, to appear
  • C. Janott, M. Schmitt, Y. Zhang, K. Qian, V. Pandit, Z. Zhang, C. Heiser, W. Hohenhorst, M. Herzog, W. Hemmert, and B. Schuller, “Snoring Classified: The Munich Passau Snore Sound Corpus,” Computers in Biology and Medicine, vol. 94, 2018, pp. 106-118 [pdf]
  • X. Xu, J. Deng, E. Coutinho, C. Wu, L. Zhao, and B. Schuller, “Connecting Subspace Learning and Extreme Learning Machine in Speech Emotion Recognition,” IEEE Transactions on Multimedia, vol. 20, 2017. 13 pages, to appear (IF: 3.509, 5-year IF: 4.103 2016))
  • L. Roche, D. Zhang, K. D. Bartl-Pokorny, F. B. Pokorny, B. Schuller, G. Esposito, S. Bölte, H. Roeyers, L. Poustka, M. Gugatschka, H. Waddington, R. Vollmann, C. Einspieler, and P. B. Marschik, “Early Vocal Development in Autism Spectrum Disorders, Rett Syndrome, and Fragile X Syndrome: Insights from Studies using Retrospective Video Analysis,” Advances in Neurodevelopmental Disorders, Jan. 2018. 13 pages [pdf]
  • P. Tzirakis, G. Trigeorgis, M. A. Nicolaou, B. Schuller, and S. Zafeiriou, “End-to-End Multimodal Emotion Recognition using Deep Neural Networks,” IEEE Journal of Selected Topics in Signal Processing, Special Issue on End-to-End Speech and Language Processing, vol. 11, no. 8, Dec. 2017. pp. 1301-1309 (IF: 5.301 (2016)) [pdf]
  • B. Schuller and D. Schuller, “Maschinelle Profilierung – Die KI kennt Sie,” digma – Zeitschrift für Datenrecht und Informationssicherheit, vol. 1, no. 4, 2017. 6 pages, to appear
  • J. Deng, X. Xu, Z. Zhang, S. Fruhholz, and B. Schuller, “Semi-Supervised Autoencoders for Speech Emotion Recognition,” IEEE/ACM Transactions on Audio, Speech and Language Processing, vol. 26, no. 1, Jan. 2018. pp. 31-43 [pdf]

Conference Proceedings

  • S. Hantke, M. Schmitt, P. Tzirakis, and B. Schuller, “EAT - The ICMI 2018 Eating Analysis and Tracking Challenge,” in Proceedings of the 20th ACM International Conference on Multimodal Interaction (ICMI), Boulder, CO, October 2018. 5 pages, to appear
  • Z. Ren, N. Cummins, J. Han, S. Schnieder, J. Krajewski, and B. Schuller, “Evaluation of the Pain Level from Speech: Introducing a Novel Pain Database and Benchmarks,” in Proceedings 13th ITG Conference on Speech Communication, Oldenburg, Germany, October 2018. 5 pages, to appear
  • A. Baird, E. Parada-Cabaleiro, C. Fraser, S. Hantke, and B. Schuller, “The Emotion of Synthetic Audio – A Dataset and Perception Results,” in Proceedings of the 12th Audio Mostly Conference on Interaction with Sound (Audio Mostly), Wrexham, UK, September 2018. 8 pages, to appear
  • V. Pandit, M. Schmitt, N. Cummins, F. Graf, L. Paletta, and B. Schuller, “How Good Is Your Model ‘Really’? On ‘Wildness’ of the In-the-wild Speech-based Affect Recognisers,” in Proceedings 20th International Conference on Speech and Computer (SPECOM), Leipzig, Germany, September 2018. 10 pages, to appear
  • J. Han, M. Schmitt, and B. Schuller, “You Sound Like Your Counterpart: Interpersonal Speech Analysis,” in Proceedings 20th International Conference on Speech and Computer (SPECOM), Leipzig, Germany, September 2018. 10 pages, to appear
  • B. Schuller, S. Steidl, A. Batliner, P. B. Marschik, H. Baumeister, F. Dong, S. Hantke, F. Pokorny, E.-M. Rathner, K. D. Bartl-Pokorny, C. Einspieler, D. Zhang, A. Baird, S. Amiriparian, K. Qian, Z. Ren, M. Schmitt, P. Tzirakis, and S. Zafeiriou, “The INTERSPEECH 2018 Computational Paralinguistics Challenge: Atypical & Self-Assessed Affect, Crying & Heart Beats,” in Proceedings INTERSPEECH, Hyderabad, India, September 2018, 5 pages, to appear
  • S. Hantke, C. Stemp, and B. Schuller, “Annotator Trustability-based Cooperative Learning Solutions for Intelligent Audio Analysis,” in Proceedings INTERSPEECH, Hyderabad, India, September 2018, 5 pages, to appear
  • A. Baird, E. Parada-Cabaleiro, S. Hantke, F. Burkhardt, N. Cummins, and B. Schuller, “The Perception and Analysis of the Likeability and Human Likeness of Synthesized Speech,” in Proceedings INTERSPEECH, Hyderabad, India, September 2018, 5 pages, to appear
  • E. Parada-Cabaleiro, G. Costantini, A. Batliner, A. Baird, and B. Schuller, “Categorical vs Dimensional Perception of Italian Emotional Speech,” in Proceedings INTERSPEECH, Hyderabad, India, September 2018, 5 pages, to appear
  • E.-M. Rathner, J. Djamali, Y. Terhorst, B. Schuller, N. Cummins, G. Salamon, C. Hunger-Schoppe, and H. Baumeister, “How did you like 2017? Detection of language markers of depression and narcissism in personal narratives,” in Proceedings INTERSPEECH, Hyderabad, India, September 2018, 5 pages, to appear
  • E.-M. Rathner, Y. Terhorst, N. Cummins, B. Schuller, and H. Baumeister, “State of mind: Classification through self-reported affect and word use in speech.,” in Proceedings INTERSPEECH, Hyderabad, India, September 2018, 5 pages, to appear
  • S. Amiriparian, A. Baird, S. Julka, A. Alcorn, S. Ottl, S. Petrović, E. Ainger, N. Cummins, and B. Schuller, “Recognition of Echolalic Autistic Child Vocalisations Utilising Convolutional Recurrent Neural Networks,” in Proceedings INTERSPEECH, Hyderabad, India, September 2018, 5 pages, to appear
  • Z. Zhang, J. Han, K. Qian, and B. Schuller, “Evolving Learning for Analysing Mood-Related Infant Vocalisation,” in Proceedings INTERSPEECH, Hyderabad, India, September 2018, 5 pages, to appear
  • J. Han, Z. Zhang, M. Schmitt, Z. Ren, F. Ringeval, and B. Schuller, “Bags in Bag: Generating Context-Aware Bags for Tracking Emotions from Speech,” in Proceedings INTERSPEECH, Hyderabad, India, September 2018, 5 pages, to appear
  • E. Parada-Cabaleiro, A. Batliner, M. Schmitt, and B. Schuller, “Musical-Linguistic Annotations of Il Lauro Secco,” in Proceedings 19th International Society for Music Information Retrieval Conference (ISMIR), Paris, France, September 2018. 7 pages, to appear
  • E. Parada-Cabaleiro, A. Batliner, M. Schmitt, S. Hantke, K. Scherer, and B. Schuller, “Identifying Emotions in Opera Singing: Implications of Adverse Acoustic Conditions,” in Proceedings 19th International Society for Music Information Retrieval Conference (ISMIR), Paris, France, September 2018. 7 pages, to appear
  • S. Amiriparian, M. Freitag, N. Cummins, M. Gerzcuk, S. Pugachevskiy, and B. W. Schuller, “A Fusion of Deep Convolutional Generative Adversarial Networks and Sequence to Sequence Autoencoders for Acoustic Scene Classification,” in Proceedings 26th European Signal Processing Conference (EUSIPCO), Rome, Italy, September 2018. 5 pages, to appear
  • S. Amiriparian, M. Gerczuk, S. Ottl, N. Cummins, S. Pugachevskiy, and B. Schuller, “Bag-of-Deep-Features: Noise-Robust Deep Feature Representations for Audio Analysis,” in Proceedings 31st International Joint Conference on Neural Networks (IJCNN), Rio de Janeiro, Brazi, July 2018, pp. 2419-2425 [pdf] [ppt]
  • S. Amiriparian, M. Schmitt, N. Cummins, K. Qian, F. Dong, and B. Schuller, “Deep Unsupervised Representation Learning for Abnormal Heart Sound Classification,” in Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Honolulu, HI, July 2018. 4 pages [pdf] [ppt]
  • F. Demir, A. Sengur, N. Cummins, S. Amiriparian, and B. Schuller, “Low-Level Texture Features for Snore Sound Discrimination,” in Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Honolulu, HI, July 2018. 4 pages [pdf] [poster]
  • S. Hantke, C. Cohrs, M. Schmitt, B. Tannert, F. Lütkebohmert, M. Detmers, H. Schelhowe, and B. Schuller, “EmotAsS: An Emotion-driven Assistance System for Cognitively Impaired Individuals,” in Proceedings 16th International Conference on Computers Helping People with Special Needs (ICCHP), Linz, Austria, July 2018. pp. 486-494 [pdf]
  • A. Baird, S. Hantke, and B. Schuller, “Responsible Speech and Language Analysis: On Auditability, Benchmarking, Confidence, Data-Reliance & Explainability,” in Proceedings of the Legal and Ethical Issues Workshop, satellite of the 11th Language Resources and Evaluation Conference (LREC), Miyazaki, Japan, May 2018, to appear
  • S. Hantke, T. Appel, and B. Schuller, “The Inclusion of Gamification Solutions to Enhance User Enjoyment on Crowdsourcing Platforms,” in Proceedings of the first Asian Conference on Affective Computing and Intelligent Interaction (ACII Asia), Beijing, China, May 2018. 6 pages, [pdf]
  • S. Hantke, T. Olenyi, C. Hausner, and B. Schuller, “VoiLA: An Online Intelligent Speech Analysis and Collection Platform,” in Proceedings of the first Asian Conference on Affective Computing and Intelligent Interaction (ACII Asia), Beijing, China, May 2018. 5 pages, [pdf]
  • Y. Li, J. Tao, B. Schuller, S. Shan, D. Jiang, and J. Jia, “MEC 2017: Multimodal Emotion Recognition Challenge 2017,” in Proceedings of the first Asian Conference on Affective Computing and Intelligent Interaction (ACII Asia), Beijing, China, May 2018. 5 pages, [pdf]
  • V. Pandit, N. Cummins, M. Schmitt, S. Hantke, F. Graf, L. Paletta, and B. Schuller, “Tracking Authentic and In-the-wild Emotions using Speech,” in Proceedings of the first Asian Conference on Affective Computing and Intelligent Interaction (ACII Asia), Beijing, China, May 2018. 6 pages, [pdf]
  • G. Hagerer, N. Cummins, F. Eyben, and B. Schuller, “Robust Laughter Detection for Mobile Wellbeing Sensing on Wearable Devices,” in Proceedings of the 8th International Conference on Digital Health (DH), Lyon, France, April 2018, pp. 156-157 [pdf]
  • Z. Ren, N. Cummins, V. Pandit, J. Han, K. Qian, and B. Schuller, “Learning Image-based Representations for Heart Sound Classification,” in Proceedings of the 8th International Conference on Digital Health (DH), Lyon, France, April 2018, pp. 143-147 [pdf] [ppt]
  • N. Cummins, S. Amiriparian, S. Ottl, M. Gerczuk, M. Schmitt, and B. Schuller, “Multimodal Bag-of-Words for Cross Domains Sentiment Analysis,” in Proceedings IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Calgary, Canada, April 2018, pp. 4954-4958 [pdf]
  • P. Tzirakis, J. Zhang, and B. Schuller, “End-to-End Speech Emotion Recognition using Deep Neural Networks,” in Proceedings IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Calgary, Canada, April 2018, pp. 5089-5093 [pdf]
  • J. Han, Z. Zhang, Z. Ren, F. Ringeval, and B. Schuller, “Towards Conditional Adversarial Training for Predicting Emotions from Speech,” in Proceedings IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Calgary, Canada, April 2018, pp.6822-6826 [pdf] [ppt]
  • S. Hantke, N. Cummins, and B. Schuller, “ What is my dog trying to tell me? The automatic recognition of the context and perceived emotion of dog barks,” in Proceedings IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Calgary, Canada, April 2018, pp. 5134-5138 [pdf] [poster]
  • S. Amiriparian, S. Julka, N. Cummins, and B. Schuller, “Deep Convolutional Recurrent Neural Networks for Rare Sound Event Detection,” in Proceedings 44. Jahrestagung für Akustik (DAGA), Munich, Germany, March 2018, pp. 1522-1525 [pdf]
  • M. Schmitt and B. Schuller, “Deep Recurrent Neural Networks for Emotion Recognition in Speech,” in Proceedings 44. Jahrestagung für Akustik (DAGA), Munich, Germany, March 2018, pp. 1537-1540 [pdf] [ppt]
  • K. Qian, Z. Ren, V. Pandit, Z. Yang, Z. Zhang, and B. Schuller, “Wavelets Revisited for the Classification of Acoustic Scenes,” in Proceedings of the Detection and Classification of Acoustic Scenes and Events 2017 IEEE AASP Challenge Workshop (DCASE), Munich, Germany, November 2017. pp. 108-112 [pdf] [poster]
  • Z. Ren, V. Pandit, K. Qian, Z. Zhang, Z. Yang, and B. Schuller, “’Deep Sequential Image Features on Acoustic Scene Classification,” in Proceedings of the Detection and Classification of Acoustic Scenes and Events 2017 IEEE AASP Challenge Workshop (DCASE), Munich, Germany, November 2017. pp. 113-117 [pdf] [poster]
  • S. Amiriparian, M. Freitag, N. Cummins, and B. Schuller, “Sequence to Sequence Autoencoders for Unsupervised Representation Learning from Audio,” in Proceedings of the Detection and Classification of Acoustic Scenes and Events 2017 IEEE AASP Challenge Workshop (DCASE), Munich, Germany, November 2017. pp. 17-21 [pdf] [ppt]
  • S. Amiriparian, N. Cummins, M. Freitag, K. Qian, Z. Ren, V. Pandit, and B. Schuller "THE COMBINED AUGSBURG / PASSAU / TUM / ICL SYSTEM FOR DCASE 2017", Technical Paper for the Challenge entry at the Detection and Classification of Acoustic Scenes and Events 2017 IEEE AASP Challenge Workshop (DCASE), Munich, Germany, November 2017. 1 pages, to appear [pdf]
  • S. Amiriparian, M. Freitag, N. Cummins, and B. Schuller, “Feature Selection in Multimodal Continuous Emotion Prediction,” in Proc. 2nd International Workshop on Automatic Sentiment Analysis in the Wild (WASA 2017) held in conjunction with the 7th biannual Conference on Affective Computing and Intelligent Interaction (ACII), San Antonio, TX, October 2017. pp. 30–37 [pdf] [ppt]
  • S. Amiriparian, N. Cummins, S. Ottl, M. Gerczuk, and B. Schuller, “Sentiment Analysis Using Image-based Deep Spectrum Features,” in Proc. 2nd International Workshop on Automatic Sentiment Analysis in the Wild (WASA 2017) held in conjunction with the 7th biannual Conference on Affective Computing and Intelligent Interaction (ACII), San Antonio, TX, October 2017. pp. 26–29 [pdf] [ppt]
  • J. Han, Z. Zhang, M. Schmitt, M. Pantic, and B. Schuller, “From Hard to Soft: Towards more Human-like Emotion Recognition by Modelling the Perception Uncertainty,” in Proceedings of the 25th ACM International Conference on Multimedia (MM), Mountain View, CA, October 2017. pp. 890-897 [pdf] [poster]
  • E. Parada-Cabaleiro, A. Batliner, A. E. Baird, and B. Schuller, “The Perception of Emotion in the Singing Voice,” in Proceedings 4th International Digital Libraries for Musicology workshop (DLfM) at the 18th International Society for Music Information Retrieval Conference (ISMIR), Suzhou, China, October 2017, pp. 29-36 [pdf] [ppt]
  • E. Parada-Cabaleiro, A. Batliner, A. E. Baird, and B. Schuller, “The SEILS dataset: Symbolically Encoded Scores in ModernAncient Notation for Computational Musicology,” in Proceedings 18th International Society for Music Information Retrieval Conference (ISMIR), Suzhou, China, October 2017. pp. 575-581 [pdf] [poster]

Technical Reports

  • G. Keren, M. Schmitt, T. Kehrenberg, and B. Schuller, “Weakly Supervised One-Shot Detection with Attention Siamese Networks,” arxiv.org, January 2018. 11 pages [pdf]
  • M. Freitag, S. Amiriparian, S. Pugachevskiy, N. Cummins, and B. Schuller, “auDeep: Unsupervised Learning of Representations from Audio with Deep Recurrent Neural Networks,” arxiv.org, December 2017. 5 pages [pdf]