PUBLICATIONS

 

Publications

  • 1 Dissertation (PhD Thesis)

  • 1 Book

  • 4 Book Chapters

  • 17 Journal Articles

  • 43 Publications in Conference Proceedings

  • 2 Popular Scientific Articles

  • 1 Technical Report

 

Statistics (based on Google Scholar, 4 March 2024)

  • Citations: 3135

  • h-index: 25

  • i10-index: 42

 

Links

 

 

 

List of Publications

 

Dissertation (PhD Thesis):

 

Book:

  1. Shahin Amiriparian, Andreas Bühlmeier, Christoph Henkelmann, Maximilian Schmitt, Björn Schuller, & Oliver Zeigermann: Einstieg ins Machine Learning – Grundlagen, Prinzipien, erste Schritte, entwickler.press, 2019. LINK

 

Book Chapters:

  1. Maximilian Schmitt & Björn Schuller: Machine-based Decoding of Paralinguistic Vocal Features, The Oxford Handbook of Voice Perception, Oxford University Press, 2018.

  2. Vedhas Pandit, Shahin Amiriparian, Maximilian Schmitt, Amr Mousa, & Björn Schuller: Big Data Multimedia Mining: Feature Extraction Facing Volume, Velocity, and Variety, Big Data Analytics for Large-Scale Multimedia Search, John Wiley and Sons Ltd., 2019.

  3. Shahin Amiriparian, Maximilian Schmitt, Simone Hantke, Vedhas Pandit, & Björn Schuller: Humans Inside: Cooperative Big Multimedia Data Mining, Innovations in Big Data Mining and Embedded Knowledge, Springer, 2019.

  4. Shahin Amiriparian, Maximilian Schmitt, Sandra Ottl, Maurice Gerczuk, & Björn Schuller: Deep Unsupervised Representation Learning for Audio-based Medical Applications, Intelligent Systems Reference Library (ISRL), Springer, 2020.

 

Journal Articles:

  1. Maximilian Schmitt & Björn Schuller: openXBOW – Introducing the Passau Open-Source Crossmodal Bag-of-Words Toolkit, The Journal of Machine Learning Research, volume 18, no. 96, pp. 1–5, 2017. LINK CODE

  2. Christoph Janott, Maximilian Schmitt, Yue Zhang, Kun Qian, Vedhas Pandit, Zixing Zhang, Clemens Heiser, Winfried Hohenhorst, Michael Herzog, Werner Hemmert, & Björn Schuller: Snoring classified: The Munich-Passau Snore Sound Corpus, Computers in Biology and Medicine, volume 94, pp. 106–118, Elsevier, 2018.

  3. Paul Buitelaar, Ian D. Wood, Sapna Negi, Mihael Arcan, John P. McCrae, Andrejs Abele, Cécile Robin, Vladimir Andryushechkin, Housam Ziad, Hesam Sagha, Maximilian Schmitt, Björn W. Schuller, J. Fernando Sánchez-Rada, Carlos A. Iglesias, Carlos Navarro, Andreas Giefer, Nicolaus Heise, Vincenzo Masucci, Francesco A. Danza, Ciro Caterino, Pavel Smrž, Michal Hradiš, Filip Povolný, Marek Klimeš, Pavel Matějka, & Giovanni Tummarello: MixedEmotions: An Open-Source Toolbox for Multi-Modal Emotion Analysis, IEEE Transactions on Multimedia, volume 20, no. 9, pp. 2454–2465, IEEE, 2018.

  4. Kun Qian, Maximilian Schmitt, Christoph Janott, Zixing Zhang, Clemens Heiser, Winfried Hohenhorst, Michael Herzog, Werner Hemmert, & Björn Schuller: A Bag of Wavelet Features for Snore Sound Classification, Annals of Biomedical Engineering, volume 47, no. 4, pp. 1000–1011, Biomedical Engineering Society, 2019.

  5. Emilia Parada-Cabaleiro, Giovanni Costantini, Anton Batliner, Maximilian Schmitt, & Björn Schuller: DEMoS – An Italian Emotional Speech Corpus: Elicitation Methods, Machine Learning, and Perception, Language Resources and Evaluation, volume 54, pp. 341–383, Springer, 2019.

  6. Christoph Janott, Maximilian Schmitt, Clemens Heiser, Winfried Hohenhorst, Michael Herzog, Marina Carrasco Llatas, Werner Hemmert, & Björn Schuller: VOTE versus ACLTE: Vergleich zweier Schnarchgeräuschklassifikationen mit Methoden des maschinellen Lernens, HNO Journal, volume 67, no. 9, pp. 670–678, Springer, 2019.

  7. Shahin Amiriparian, Jing Han, Maximilian Schmitt, Alice Baird, Adrià Mallol-Ragolta, Manuel Milling, Maurice Gerczuk, & Björn Schuller: Synchronization in Interpersonal Speech, Frontiers in Robotics and AI, section Human-Robot Interaction, volume 6, no. 116, pp. 1–10, Frontiers, 2019.

  8. Kun Qian, Christoph Janott, Maximilian Schmitt, Zixing Zhang, Clemens Heiser, Werner Hemmert, Yoshiharu Yamamoto, & Björn W. Schuller: Can Machine Learning Assist Locating the Excitation of Snore Sound? A Review, IEEE Journal of Biomedical And Health Informatics, volume 25, no. 4, pp. 1233–1246, IEEE, 2020.

  9. Vedhas Pandit, Maximilian Schmitt, Nicholas Cummins, & Björn Schuller: I see it in your eyes: Training the Shallowest-possible CNN to Recognise Emotions and Pain from Muted Web-assisted in-the-wild Video-chats in Real-time, Information Processing and Management, volume 57, no. 6, Elsevier, 2020.

  10. Stephan Wolf, Maximilian Schmitt, & Björn Schuller: A Football Player Rating System, Journal of Sports Analytics, volume 6, no. 4, pp. 243–257, IOS Press, 2020.

  11. Jean Kossaifi, Robert Walecki, Yannis Panagakis, Jie Shen, Maximilian Schmitt, Fabien Ringeval, Jing Han, Vedhas Pandit, Antoine Toisoul, Bjorn Schuller, Kam Star, Elnar Hajiyev, & Maja Pantic: SEWA DB: A Rich Database for Audio-Visual Emotion and Sentiment Research in the Wild, IEEE Transactions on Pattern Analysis and Machine Intelligence, volume 43, no. 3, pp. 1022–1040, IEEE, 2021.

  12. Kun Qian, Maximilian Schmitt, Huaiyuan Zheng, Tomoya Koike, Jing Han, Juan Liu, Wei Ji, Junjun Wei, Meishu Song, Zijiang Yang, Zhao Ren, Shuo Liu, Zixing Zhang, Yoshiharu Yamamoto, & Björn Schuller: Computer Audition for Fighting the SARS-CoV-2 Corona Crisis – Introducing the Multi-task Speech Corpus for COVID-19, IEEE Internet of Things Journal, pp. 1–12, IEEE, 2021.

  13. Björn Schuller, Alice Baird, Alexander Gebhard, Shahin Amiriparian, Gil Keren, Maximilian Schmitt, Nicholas Cummins: New Avenues in Audio Intelligence: Towards Holistic Real-life Audio Understanding, Trends in Hearing, volume 25, pp. 1-14, SAGE Publishing, 2021.

  14. Mostafa M. Mohamed, Mina A. Nessiem, Anton Batliner, Christian Bergler, Simone Hantke, Maximilian Schmitt, Alice Baird, Adrià Mallol-Ragolta, Vincent Karas, Shahin Amiriparian, Björn W. Schuller: Face Mask Recognition from Audio: The MASC Database and an Overview on the Mask Challenge, Pattern Recognition, volume 122, pp. 1-11, Elsevier, 2022.

  15. Florian B. Pokorny, Maximilian Schmitt, Mathias Egger, Katrin D. Bartl-Pokorny, Dajie Zhang, Björn W. Schuller, Peter B. Marschik: Automatic Vocalisation-based Detection of Fragile X Syndrome and Rett Syndrome, Nature Scientific Reports, volume 12, pp. 1-13, Nature Publishing Group UK, 2022.

  16. Emilia Parada-Cabaleiro, Anton Batliner, Maximilian Schmitt, Markus Schedl, Giovanni Costantini, Björn Schuller: Perception and Classification of Emotions in Nonsense Speech: Humans versus Machines, PLOS ONE, volume 18, 1, pp. 1-26, Public Library of Science, 2023.

  17. Johannes Wagner, Andreas Triantafyllopoulos, Hagen Wierstorf, Maximilian Schmitt, Felix Burkhardt, Florian Eyben, Björn W Schuller: Dawn of the Transformer Era in Speech Emotion Recognition: Closing the Valence Gap, IEEE Transactions on Pattern Analysis and Machine Intelligence, pp. 1-13, IEEE, 2023.

 

Publications in Conference Proceedings:

  1. Maximilian Schmitt, Fabien Ringeval, & Björn Schuller: At the Border of Acoustics and Linguistics: Bag-of-Audio-Words for the Recognition of Emotions in Speech, Proc. Annual Conference of the International Speech Communication Association (INTERSPEECH), San Francisco, CA, USA, pp. 495–499, ISCA, 2016.
  2. Maximilian Schmitt, Christoph Janott, Vedhas Pandit, Kun Qian, Clemens Heiser, Werner Hemmert, & Björn Schuller: A Bag-of-Audio-Words Approach for Snore Sounds’ Excitation Localisation, Proc. ITG Speech Communication, Paderborn, Germany, pp. 230–234, VDE, IEEE, 2016.
  3. Maximilian Schmitt, Erik Marchi, Fabien Ringeval, & Björn Schuller: Towards Cross-lingual Automatic Diagnosis of Autism Spectrum Condition in Children’s Voices, Proc. ITG Speech Communication, Paderborn, Germany, pp. 264–268, VDE, IEEE, 2016.
  4. Johanna Böhm, Florian Eyben, Maximilian Schmitt, Harald Kosch, & Björn Schuller: Seeking the SuperStar: Automatic Assessment of Perceived Singing Quality, Proc. International Joint Conference on Neural Networks (IJCNN), Anchorage, AK, USA, pp. 1560–1569, IEEE, 2017.
  5. Nicholas Cummins, Maximilian Schmitt, Shahin Amiriparian, Jarek Krajewski, & Björn Schuller: “You sound ill, take the day off ”: Automatic Recognition of Speech Affected by Upper Respiratory Tract Infection, Proc. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Jeju Island, Korea, pp. 3806–3809, EMBS, 2017.
  6. Tobias Geib, Maximilian Schmitt, & Björn Schuller: Automatic Guitar String Detection by String-Inverse Frequency Estimation, Proc. INFORMATIK 2017, Chemnitz, Germany, pp. 127–138, GI, 2017.
  7. Jun Deng, Nicholas Cummins, Maximilian Schmitt, Kun Qian, Fabien Ringeval, & Björn Schuller: Speech-based Diagnosis of Autism Spectrum Condition by Generative Adversarial Network Representations, Proc. Digital Health, London, UK, pp. 53–57, ACM, 2017.
  8. Björn Schuller, Stefan Steidl, Anton Batliner, Elika Bergelson, Jarek Krajewski, Christoph Janott, Andrei Amatuni, Marisa Casillas, Amanda Seidl, Melanie Soderstrom, Anne S. Warlaumont, Guillermo Hidalgo, Sebastian Schnieder, Clemens Heiser, Winfried Hohenhorst, Michael Herzog, Maximilian Schmitt, Kun Qian, Yue Zhang, George Trigeorgis, Panagiotis Tzirakis, & Stefanos Zafeiriou: The INTERSPEECH 2017 Computational Paralinguistics Challenge: Addressee, Cold & Snoring, Proc. Annual Conference of the International Speech Communication Association (INTERSPEECH), Stockholm, Sweden, pp. 3442–3446, ISCA, 2017.
  9. Raymond Brückner, Maximilian Schmitt, Maja Pantic, & Björn Schuller: Spotting Social Signals in Conversational Speech over IP: A Deep Learning Perspective, Proc. Annual Conference of the International Speech Communication Association (INTERSPEECH), Stockholm, Sweden, pp. 2371–2375, ISCA, 2017.
  10. Maximilian Schmitt & Björn Schuller: Recognising Guitar Effects – Which Acoustic Features Really Matter?, Proc. INFORMATIK 2017, Chemnitz, Germany, pp. 177–190, GI, 2017.
  11. Jing Han, Zixing Zhang, Maximilian Schmitt, Maja Pantic, & Björn Schuller: From Hard to Soft: Towards more Human-like Emotion Recognition by Modelling the Perception Uncertainty, Proc. ACM Multimedia, Mountain View, CA, USA, pp. 890–897, ACM, 2017.
  12. Yue Zhang, Felix Weninger, Boqing Liu, Maximilian Schmitt, Florian Eyben, & Björn Schuller: A Paralinguistic Approach To Holistic Speaker Diarisation – Using Age, Gender, Voice Likability and Personality Traits, Proc. ACM Multimedia, Mountain View, CA, USA, pp. 387–392, ACM, 2017.
  13. Hesam Sagha, Maximilian Schmitt, Filip Povolny, Andreas Giefer, & Björn Schuller: Predicting the Popularity of a Talk-show based on the Emotionality of its Speech Content, Proc. International Workshop on Affective Social Multimedia Computing (ASMMC), Stockholm, Sweden, 5 pages, 2017.
  14. Fabien Ringeval, Björn Schuller, Michel Valstar, Jonathan Gratch, Roddy Cowie, Stefan Scherer, Sharon Mozgai, Nicholas Cummins, Maximilian Schmitt, & Maja Pantic: AVEC 2017 – Real-life Depression, and Affect Recognition Workshop and Challenge, Proc. Audio-Visual Emotion Challenge and Workshop (AVEC), Mountain View, CA, USA, pp. 3–9, ACM, 2017.
  15. Christian Kohlschein, Maximilian Schmitt, Björn Schuller, Sabina Jeschke, & Cornelius J. Werner: A Machine Learning Based System for the Automatic Evaluation of Aphasia Speech, Proc. IEEE Healthcom, Dalian, China, 6 pages, IEEE, 2017.
  16. Maximilian Schmitt & Björn Schuller: Deep Recurrent Neural Networks for Emotion Recognition in Speech, Proc. DAGA, München, Germany, pp. 1537–1540, DEGA, 2018.
  17. Nicholas Cummins, Shahin Amiriparian, Sandra Ottl, Maurice Gerczuk, Maximilian Schmitt, & Björn Schuller: Multimodal Bag-of-Words for Cross Domains Sentiment Analysis, Proc. International Conference on Acoustics, Speech, & Signal Processing (ICASSP), Calgary, Canada, pp. 4954–4958, IEEE, 2018.
  18. Simone Hantke, Christian Cohrs, Maximilian Schmitt, Benjamin Tannert, Florian Lütkebohmert, Mathias Detmers, Heidi Schelhowe, & Björn Schuller: Introducing an Emotion-Driven Assistance System for Cognitively Impaired Individuals, Proc. International Conference on Computers Helping People with Special Needs (ICCHP), Linz, Austria, pp. 486–494, Springer, 2018.
  19. Vedhas Pandit, Nicholas Cummins, Maximilian Schmitt, Simone Hantke, Franz Graf, Lucas Paletta, & Björn Schuller: Tracking Authentic and In-the-wild Emotions using Speech, Proc. Asian Conference on Affective Computing and Intelligent Interaction (ACII Asia), Beijing, China, 6 pages, AAAC, IEEE, 2018.
  20. Shahin Amiriparian, Maximilian Schmitt, Nicholas Cummins, Kun Qian, Fengquan Dong, & Björn Schuller: Deep Unsupervised Representation Learning for Abnormal Heart Sound Classification, Proc. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Hawaii, HI, USA, pp. 4776–4779, EMBS, IEEE, 2018.
  21. Simone Hantke, Maximilian Schmitt, Panagiotis Tzirakis, & Björn Schuller: EAT – The ICMI 2018 Eating Analysis and Tracking Challenge, Proc. International Conference on Multimodal Interaction (ICMI), Boulder, CO, USA, 5 pages, ACM, 2018.
  22. Emilia Parada-Cabaleiro, Maximilian Schmitt, Anton Batliner, Simone Hantke, Giovanni Costantini, Klaus Scherer, & Björn Schuller: Identifying Emotions in Opera Singing: Implications of Adverse Acoustic Conditions, Proc. International Society for Music Information Retrieval Conference (ISMIR), Paris, France, pp. 376–382, ISMIR, 2018.
  23. Emilia Parada-Cabaleiro, Maximilian Schmitt, Anton Batliner, & Björn Schuller: Musical-Linguistic Annotations of Il Lauro Secco, Proc. International Society for Music Information Retrieval Conference (ISMIR), Paris, France, pp. 461–467, ISMIR, 2018.
  24. Jing Han, Zixing Zhang, Maximilian Schmitt, Zhao Ren, Fabien Ringeval, & Björn Schuller: Bags in Bag: Generating Context-Aware Bags for Tracking Emotions from Speech, Proc. Annual Conference of the International Speech Communication Association (INTERSPEECH), Hyderabad, India, pp. 3082–3086, ISCA, 2018.
  25. Björn W. Schuller, Stefan Steidl, Anton Batliner, Peter B. Marschik, Harald Baumeister, Fengquan Dong, Simone Hantke, Florian B. Pokorny, Eva-Maria Rathner, Katrin D. Bartl-Pokorny, Christa Einspieler, Dajie Zhang, Alice Baird, Shahin Amiriparian, Kun Qian, Zhao Ren, Maximilian Schmitt, & Panagiotis Tzirakis and Stefanos Zafeiriou: The INTERSPEECH 2018 Computational Paralinguistics Challenge: Atypical & Self-Assessed Affect, Crying & Heart Beats, Proc. Annual Conference of the International Speech Communication Association (INTERSPEECH), Hyderabad, India, pp. 122–126, ISCA, 2018.
  26. Fabien Ringeval, Björn Schuller, Michel Valstar, Roddy Cowie, Heysem Kaya, Maximilian Schmitt, Shahin Amiriparian, Nicholas Cummins, Denis Lalanne, Adrien Michaud, Elvan Çiftçi, Hüseyin Güleç, Albert Ali Salah, & Maja Pantic: AVEC 2018 Workshop and Challenge: Bipolar Disorder and Cross-Cultural Affect Recognition, Proc. Audio-Visual Emotion Challenge and Workshop (AVEC), Seoul, Korea, pp. 3–13, ACM, 2018.
  27. Jing Han, Maximilian Schmitt, & Björn Schuller: You Sound Like Your Counterpart: Interpersonal Speech Analysis, Proc. International Conference on Speech and Computer (SPECOM), Leipzig, Germany, pp. 188–197, Springer, 2018.
  28. Vedhas Pandit, Maximilian Schmitt, Nicholas Cummins, Franz Graf, Lucas Paletta, & Björn Schuller: How Good Is Your Model ‘Really’ ? On ‘Wildness’ of the In-the-wild Speech-based Affect Recognisers, Proc. International Conference on Speech and Computer (SPECOM), Leipzig, Germany, pp. 490–500, Springer, 2018.
  29. Maximilian Schmitt & Björn Schuller: End-to-end Audio Classification with Small Datasets – Making It Work, Proc. European Signal Processing Conference (EUSIPCO), A Coruña, Spain, 5 pages, EURASIP, IEEE, 2019.
  30. Maximilian Schmitt, Nicholas Cummins, & Björn Schuller: Continuous Emotion Recognition in Speech – Do We Need Recurrence?, Proc. Annual Conference of the International Speech Communication Association (INTERSPEECH), Graz, Austria, pp. 2808–2812, ISCA, 2019.
  31. Adrià Mallol-Ragolta, Maximilian Schmitt, Alice Baird, Nicholas Cummins, & Björn Schuller: Performance Analysis of Unimodal Models in Valence-Based Empathy Recognition, Proc. International Conference on Face & Gesture Recognition (FG) / OMG Challenge, Lille, France, 5 pages, IEEE, 2019.
  32. Christoph Janott, Christian Rohrmeier, Maximilian Schmitt, Werner Hemmert, & Björn Schuller: Snoring – An Acoustic Definition, Proc. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Berlin, Germany, pp. 3653–3657, EMBS, IEEE, 2019.
  33. Julian Schiele, Fabian Rabe, Maximilian Schmitt, Manuel Glaser, Franziska Häring, Jens O. Brunner, Bernhard Bauer, Björn Schuller, Claudia Traidl-Hoffmann, & Athanasios Damialis: Automated Classification of Airborne Pollen using Neural Networks, Proc. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Berlin, Germany, pp. 4474–4478, EMBS, IEEE, 2019.
  34. Björn W. Schuller, Anton Batliner, Christian Bergler, Florian B. Pokorny, Jarek Krajewski, Margaret Cychosz, Ralf Vollmann, Sonja-Dana Roelen, Sebastian Schnieder, Elika Bergelson, Alejandrina Cristia, Amanda Seidl, Anne S. Warlaumont, Lisa Yankowitz, Elmar Nöth, Shahin Amiriparian, Simone Hantke, & Maximilian Schmitt: The INTERSPEECH 2019 Computational Paralinguistics Challenge: Styrian Dialects, Continuous Sleepiness, Baby Sounds & Orca Activity, Proc. Annual Conference of the International Speech Communication Association (INTERSPEECH), Graz, Austria, pp. 2378–2382, ISCA, 2019.
  35. Vedhas Pandit, Maximilian Schmitt, Nicholas Cummins, & Björn Schuller: I Know How you Feel Now, and Here’s why!: Demystifying Time-Continuous High Resolution Text-Based Affect Predictions in the Wild, Proc. International Symposium on Computer-Based Medical Systems, Córdoba, Spain, pp. 465–470, IEEE, 2019.
  36. Kun Qian, Hiroyuki Kuromiya, Zhao Ren, Maximilian Schmitt, Zixing Zhang, Toru Nakamura, Kazuhiro Yoshiuchi, Björn W. Schuller, & Yoshiharu Yamamoto: Automatic Detection of Major Depressive Disorder via a Bag-of-Behaviour-Words Approach, Proc. International Symposium on Image Computing and Digital Medicine (ISICDM), Xi’an, China, pp. 71–75, ACM, 2019.
  37. Alice Baird, Shahin Amiriparian, Miriam Berschneider, Maximilian Schmitt, & Björn Schuller: Predicting Biological Signals from Speech: Introducing a Novel Multimodal Dataset and Results, Proc. International Workshop on Multimedia Signal Processing (MMSP), Kuala Lumpur, Malaysia, 5 pages, IEEE, 2019.
  38. Fabien Ringeval, Björn Schuller, Michel Valstar, Nicholas Cummins, Roddy Cowie, Leili Tavabi, Maximilian Schmitt, Sina Alisamir, Shahin Amiriparian, Eva-Maria Messner, Siyang Song, Shuo Liu, Ziping Zhao, Adrià Mallol-Ragolta, Zhao Ren, Mohammad Soleymani, & Maja Pantic: AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition, Proc. Audio-Visual Emotion Challenge and Workshop (AVEC), Nice, France, pp. 3–12, ACM, 2019.
  39. Björn Schuller, Shahin Amiriparian, Gil Keren, Alice Baird, Maximilian Schmitt, & Nicholas Cummins: The Next Generation of Audio Intelligence: A Survey-based Perspective on Improving Audio Analysis, Proc. International Symposium on Auditory and Audiological Research (ISAAR), Nyborg, Denmark, pp. 101–112, The Danavox Jubilee Foundation, 2019.
  40. Björn W. Schuller, Anton Batliner, Christian Bergler, Eva-Maria Messner, Antonia Hamilton, Shahin Amiriparian, Alice Baird, Georgios Rizos, Maximilian Schmitt, Lukas Stappen, Harald Baumeister, Alexis Deighton MacIntyre, & Simone Hantke: The INTERSPEECH 2020 Computational Paralinguistics Challenge: Elderly Emotion, Breathing & Masks, Proc. Annual Conference of the International Speech Communication Association (INTERSPEECH), Shanghai, China, pp. 2042–2046, ISCA, 2020.

  41. Emilia Parada-Cabaleiro, Maximilian Schmitt, Anton Batliner, Björn W. Schuller, Markus Schedl: Automatic Recognition of Texture in Renaissance Music, Proc. International Society for Music Information Retrieval Conference (ISMIR), Online, pp. 509-516, ISMIR, 2021.

  42. Andreas Triantafyllopoulos, Johannes Wagner, Hagen Wierstorf, Maximilian Schmitt, Uwe Reichel, Florian Eyben, Felix Burkhardt, Björn W. Schuller: Probing Speech Emotion Recognition Transformers for Linguistic Knowledge, Proc. Annual Conference of the International Speech Communication Association (INTERSPEECH), Incheon, Korea, pp. 146-150, ISCA, 2022.

  43. Pascal Hecker, Arpita M. Kappattanavar, Maximilian Schmitt, Sidratul Moontaha, Johannes Wagner, Florian Eyben, Björn W. Schuller, Bert Arnrich: Quantifying Cognitive Load from Voice using Transformer-Based Models and a Cross-Dataset Evaluation, Proc, 21st IEEE International Conference on Machine Learning and Applications (ICMLA), Bahamas, pp. 337-344, AMLA, IEEE, 2022.

 

Popular Scientific Articles:

  1. Shahin Amiriparian, Maximilian Schmitt, & Björn Schuller: Exploiting Deep Learning: die wichtigsten Bits und Pieces – Sieh zu und lerne, Java Magazin, pp. 46–53, JAXenter, 2018.

  2. Maximilian Schmitt, Shahin Amiriparian, & Björn Schuller: Maschinelle Sprachverarbeitung: Wie lernen Computer unsere Sprache zu verstehen?, Entwickler Magazin, pp. 30–38, Software & Support Media GmbH, 2018.

 

Technical Report:

  1. Gil Keren, Maximilian Schmitt, Thomas Kerenberg, & Björn Schuller: Weakly Supervised One-Shot Detection with Attention Siamese Networks, arXiv: 1801.03329, pp. 1–15, arXiv.org, 2018.