Search

Publications


Book Chapters

  • A. Batliner and B. Möbius, "Prosody in Automatic Speech Processing," in The Oxford Handbook of Language Prosody (C. Gussenhoven and Aoju Chen, eds.), Oxford University Press. 20 pages, to appear 2020. [pdf]

Journal Articles

  • B. Schuller, “Micro-Expressions – A Chance for Computers to Beat Humans at Revealing Hidden Emotions?,” IEEE Computer Magazine, vol. 52, February 2019. 2 pages, to appear
  • S. Amiriparian, N. Cummins, M. Gerczuk, S. Pugachevskiy, S. Ottl, and B. Schuller, “'Are You Playing a Shooter Again?!' Deep Representation Learning for Audio-based Video Game Genre Recognition,” IEEE Transactions on Games, vol. 11, 2019. 11 pages, to appear
  • 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. 53, 2019, pp. 156-180. [link]
  • K. Veselkov and B. Schuller, “The age of data analytics: converting biomedical data into actionable insights,” Methods, Special Issue on Health Informatics and Translational Data Analytics, vol. 151, 2018, pp. 1-2.
  • N. Cummins, B. W. Schuller, and A. Baird, “Speech analysis for health: Current state-of-the-art and the increasing impact of deep learning,” Methods, Special Issue on Health Informatics and Translational Data Analytics, vol. 151, 2018, pp. 41-54. [link]
  • K. Grabowski, A. Rynkiewicz, A. Lassalle, S. Baron-Cohen, B. Schuller, N. Cummins, A. E. Baird, J. Podg´orska-Bednarz, A. Pieniazek, and I. Lucka, “Emotional expression in psychiatric conditions – new technology for clinicians,” Psychiatry and Clinical Neurosciences, vol. 1, 2018. 17 pages, to appear
  • S. Jing, X. Mao, L. Chen, M. C. Comes, A. Mencattini, G. Raguso, F. Ringeval, B. Schuller, C. D. Natale, and E. Martinelli, “A closed-form solution to the graph total variation problem for continuous emotion profiling in noisy environment,” Speech Communication, vol. 104, pp. 66–72, November 2018.
  • Z. Zhang, J. Han, E. Coutinho, and B. Schuller, “Dynamic Difficulty Awareness Training for Continuous Emotion Prediction,” IEEE Transactions on Multimedia, vol. 20, 2018. 14 pages, to appear
  • 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, 2018. 13 pages, to appear
  • D. Schuller and B. Schuller, “Automatic Speech Emotion Recognition in Dialogue and Human-Computer Interaction: A Survey,” International Journal of Automation and Computing, vol. 15, 2018. 10 pages, invited contribution, to appear
  • F. B. Pokorny, K. D. Bartl-Pokornya, C. Einspieler, D. Zhang, R. Vollmann, S. B¨olte, H. Tager-Flusberg, M. Gugatschka, B.W. Schuller, and P. B. Marschik, “Typical vs. atypical: Combining auditory Gestalt perception and acoustic analysis of early vocalisations in Rett syndrome,” Research in Developmental Disabilities, vol. 82, 2018. pp. 109-119.
  • A. Mencattini, F. Mosciano, M. Colomba Comes, T. De Gregorio, G. Raguso, E. Daprati, F. Ringeval, B. Schuller, and E. Martinelli, “An emotional modulation model as signature for the identification of children developmental disorders,” Scientific Reports, 2018, 14487, 12 pages. [link]
  • S. Hantke, T. Olenyi, C. Hausner, and B. Schuller, “Introducing VoiLA: An Online Intelligent Speech Analysis and Collection Platform,” International Journal of Automation and Computing, vol. 15, 2018. 10 pages, to appear
  • J. Han, Z. Zhang, N. Cummins, and B. Schuller, “Adversarial Training in Affective Computing and Sentiment Analysis: Recent Advances and Perspectives,” IEEE Computational Intelligence Magazine, special issue on Computational Intelligence for Affective Computing and Sentiment Analysis, 2018. 13 pages, to appear [preprint]
  • G. Keren, N. Cummins, and B. Schuller, “Calibrated Prediction Intervals for Neural Network Regressors,” IEEE Access, vol. 6, 2018, pp. 54033-54041.
  • E. Marchi, B. Schuller, A. Baird, S. Baron-Cohen, A. Lassalle, H. O’Reilly, D. Pigat, P. Robinson, I. Davies, T. Baltrusaitis, O. Golan, S. Fridenson-Hayo, S. Tal, S. Newman, N. MeirGoren, A. Camurri, S. Piana, S. Bölte, M. Sezgin, N. Alyuz, A. Rynkiewicz, and A. Baranger, “The ASC-Inclusion Perceptual Serious Gaming Platform for Autistic Children,” IEEE Transactions on Computational Intelligence and AI in Games, 2018, pp. 1-12.
  • J. Han, Z. Zhang, G. Keren, and B. Schuller, “Emotion Recognition in Speech with Latent Discriminative Representations Learning,” Acta Acustica united with Acustica, vol. 104, 2018, pp. 737-740 [pdf]
  • 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, doi: 10.1126/scirobotics.aao6760June 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. pp. 42142-42155 [pdf]
  • 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, pp. 38-46.
  • B. Schuller, “What Affective Computing Reveals on Autistic Children’s Face of Joy or Fear,” IEEE Computer Magazine, vol. 51, June 2018. pp.7-8 [pdf]
  • 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] 
  • 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, pp. 465-475. [link]
  • 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, pp. 22196 - 22209. [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, pp. 1-5. [pdf]
  • A. Baird, S. H. Jorgensen, E. Parada-Cabaleiro, S. Hantke, N. Cummins, and B. Schuller, “The 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, pp. 277-285.
  • 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]
  • 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, March 2018, pp. 49-61. [pdf]
  • 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]
  • 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. [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 [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
  • V. Pandit and B. Schuller, “A Novel Graphical Technique for Combinational Logic Representation and Optimization,” Complexity, vol. 2017, 2017, Article ID 9696342, 12 pages. [link]

Conference Proceedings

  • G. Keren, S. Sabato, and B. Schuller, “Fast Single-Class Classification and the Principle of Logit Separation,” in Proceedings of the International Conference on Data Mining (ICDM), Singapore, Singapore, November 2018, pp. 227-236.
  • Z. Ren, Q. Kong, K. Qian, and B. Schuller, “Attention-based Convolutional Neural Networks for Acoustic Scene Classification,” in Proceedings of the 3rd Detection and Classification of Acoustic Scenes and Events 2018 Workshop (DCASE), Surrey, UK, November 2018, pp. 39-43. [link]
  • F. Ringeval, B. Schuller, M. Valstar, R. Cowie, H. Kaya, M. Schmitt, S. Amiriparian, N. Cummins, D. Lalanne, A. Michaud, E. Ciftci, H. Gülec, A. A. Salah, and M. Pantic, “AVEC 2018 Workshop and Challenge: Bipolar Disorder and Cross-Cultural Affect Recognition,” in Proceedings of the 8th International Workshop on Audio/Visual Emotion Challenge (AVEC), co-located with the 26th ACM International Conference on Multimedia (MM), Seoul, South Korea, October 2018. pp. 3-13, [pdf]
  • 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. pp. 559-563 [pdf]
  • B. Sertolli, N. Cummins, A. Sengur, and B. Schuller, “Deep End-to-End Representation Learning for Food Type Recognition from Speech,” in Proceedings of the 20th ACM International Conference on Multimodal Interaction (ICMI), Boulder, CO, October 2018. pp. 574-578 [pdf]
  • Y. Guo, J. Han, Z. Zhang, B. Schuller, and Y. Ma, “Exploring a New Method for Food Likability Rating Based on DT-CWT Theory,” in Proceedings of the 20th ACM International Conference on Multimodal Interaction (ICMI), Boulder, CO, October 2018. pp. 569-573 [pdf]
  • 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. pp. 56-60 [pdf]
  • A. Sengur, F. Demir, H. Lu, S. Amiriparian, N. Cummins, and B. Schuller, “Compact Bilinear Deep Features for Environmental Sound Recognition,” in Proceedings International Conference on Artificial Intelligence and Data Mining (IDAP), Malatya, Turkey, September 2018. 5 pages, [pdf]
  • 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. pp. 490-500 [pdf]
  • 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. pp. 188-197 [pdf]
  • G. Keren, J. Han, and B. Schuller, “Scaling Speech Enhancement in Unseen Environments with Noise Embeddings,” in Proceedings The 5th International Workshop on Speech Processing in Everyday Environments held in conjunction with Interspeech 2018, Hyderabad, India, September 2018. 6 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, pp. 122-126 [pdf]
  • S. Hantke, C. Stemp, and B. Schuller, “Annotator Trustability-based Cooperative Learning Solutions for Intelligent Audio Analysis,” in Proceedings INTERSPEECH, Hyderabad, India, September 2018, pp. 3504-3508 [pdf]
  • 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, pp. 2863-2867 [pdf]
  • 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, pp. 3638-3642 [pdf]
  • 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, pp. 3388-3392 [pdf]
  • 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, pp. 267-271 [pdf]
  • 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, pp. 2334-2338 [pdf]
  • Z. Zhang, J. Han, K. Qian, and B. Schuller, “Evolving Learning for Analysing Mood-Related Infant Vocalisation,” in Proceedings INTERSPEECH, Hyderabad, India, September 2018, pp. 142-146 [pdf]
  • Z. Zhang, A. Cristia, A. Warlaumont, and B. Schuller, "Automated Classification of Children's Linguistic versus Non-Linguistic Vocalisations," in Proceedings INTERSPEECH, Hyderabad, India, September 2018, pp. 2588-2592 [pdf]
  • 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, pp. 3082-3086 [pdf]
  • W. Han, H. Ruan, X. Chen, Z. Wang, H. Li, and B. Schuller, “Towards Temporal Modelling of Categorical Speech Emotion Recognition,” in Proceedings INTERSPEECH, Hyderabad, India, September 2018, pp. 932–936.
  • 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. pp. 461-467 [pdf]
  • 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. pp. 376-382 [pdf]
  • 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, pp.977-981 [pdf]
  • 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, pp. 4776-4779. [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, pp. 413-416. [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]
  • S. Song, S. Zhang, B. Schuller, L. Shen, and M. Valstar, “Noise Invariant Frame Selection: A Simple Method to Address the Background Noise Problem for Text-Independent Speaker Verification,” in Proceedings of the 31st International Joint Conference on Neural Networks (IJCNN), Rio de Janeiro, Brazil, July 2018, pp. 1-8.
  • J. Schmid, P. Heß, A. Höß, and B. Schuller, “Passive monitoring and geo-based prediction of mobile network vehicle-to server communication,” in Proceedings of the 14th International Wireless Communications and Mobile Computing Conference (IWCMC), Limassol, Cyprus, June 2018, pp. 483-1488.
  • 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]
  • H.-J. Vögel, C. Süß, V. Ghaderi, R. Chadowitz, E. André, N. Cummins, B. Schuller, J. Härri, R. Troncy, B. Huet, M. Önen, A. Ksentini, J. Conradt, A. Adi, A. Zadorojniy, J. Terken, J. Beskow, A. Morrison, K. Eng, F. Eyben, S. A. Moubayed, and S. Müller, “Emotion-awareness for intelligent Vehicle Assistants: a research agenda,” in Proceedings First Workshop on Software Engineering for AI in Autonomous Systems, SEFAIAS, co-located with the 40th International Conference on Software Engineering, ICSE, Gothenburg, Sweden, May 2018, pp. 11-15.
  • 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]