Chair of Complex and Intelligent Systems
Publications

Publications

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Journal Articles

  • K. Qian, C. Janott, V. Pandit, Z. Zhang, C. Heiser, W. Hohenhorst, M. Herzog, W. Hemmert, and B. Schuller, "Classification of the Excitation Location of Snore Sounds in the Upper Airway by Acoustic Multi-Feature Analysis,” IEEE Transactions on Biomedical Engineering, vol. 64, no 8, 2017. pp. 1731-1741 [pdf]
  • H. Sagha, N. Cummins, and B. Schuller, “Stacked denoising autoencoders for sentiment analysis: a review,” Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, vol. 7, 2017. to appear [pdf]
  • J. Deng, S. Frühholz, Z. Zhang, and B. Schuller, “Recognizing Emotions From Whispered Speech Based on Acoustic Feature Transfer Learning,” IEEE Access, vol. 5, pp. 5235–5246, March 2017 [pdf]
  • Z. Zhang, N. Cummins, and B. Schuller, “Advanced Data Exploitation in Speech Analysis – An Overview,” IEEE Signal Processing Magazine, vol. 34, July 2017, pp. 107-129 [pdf]
  • M. Schmitt and B. Schuller, “openXBOW – Introducing the Passau Open-Source Crossmodal Bag-of-Words Toolkit,” Journal of Machine Learning Research, vol. 18, 2017. 5 pages, to appear [pdf]
  • K. Qian, Z. Zhang, A. Baird, and B. Schuller, “Active Learning for Bird Sounds Classification,” Acta Acustica united with Acustica, vol. 103, pp. 361–364, April 2017. [pdf]
  • X. Xu, J. Deng, N. Cummins, Z. Zhang, C. Wu, L. Zhao, and B. Schuller, “A Two-Dimensional Framework of Multiple Kernel Subspace Learning for Recognising Emotion in Speech,” IEEE/ACM Transactions on Audio, Speech and Language Processing, vol. 25, 2017. 15 pages [pdf]
  • P. B. Marschik, F. B. Pokorny, R. Peharz, D. Zhang, J. O’Muircheartaigh, H. Roeyers, S. B ̈olte, A. J. Spittle, B. Urlesberger, B. Schuller, L. Poustka, S. Ozonoff, F. Pernkopf, T. Pock, K. Tammimies, C. Enzinger, M. Krieber, I. Tomantschger, K. D. Bartl-Pokorny, J. Sigafoos, L. Roche, G. Esposito, M. Gugatschka, K. Nielsen-Saines, C. Einspieler, W. E. Kaufmann, and The BEE-PRI study group, “A Novel Way to Measure and Predict Development: A Heuristic Approach to Facilitate the Early Detection of Neurodevelopmental Disorders,” Current Neurology and Neuroscience Reports, vol. 17,no. 43, 2017. 15 pages [pdf]
  • J. Deng, X. Xu, Z. Zhang, S. Frühholz, and B. Schuller, “Universum Autoencoder-based Domain Adaptation for Speech Emotion Recognition,” IEEE Signal Processing Letters, vol. 24, no. 4, pp. 500-504, April 2017 [pdf]
  • H. Sagha, F. Li, E. V. J. del R. Milln, R. Chavarriaga, and B. Schuller, “Stream fusion for multi-stream automatic speech recognition,” International Journal of Speech Technology, vol. 19, no. 4, pp. 669–675, 2016 [pdf]
  • F. Lingenfelser, J. Wagner, J. Deng, R. Brueckner, B. Schuller, and E. Andre, “Asynchronous and Event-based Fusion Systems for Affect Recognition on Naturalistic Data in Comparison to Conventional Approaches,” IEEE Transactions on Affective Computing, vol. 7, 2016. 13 pages [pdf]
  • J. Han, Z. Zhang, N. Cummins, F. Ringeval, and B. Schuller, “Strength Modelling for Real-World Automatic Continuous Affect Recognition from Audiovisual Signals,” Image and Vision Computing, Special Issue on Multimodal Sentiment Analysis and Mining in the Wild, vol. 34, 2016. 12 pages [pdf]
  • B. Schuller, “Can Virtual Human Interviewers “Hear” Real Humans’ Depression?,” IEEE Computer Magazine, vol. 49, p. 8, July 2016 [pdf]
  • F. Gross, J. Jordan, F. Weninger, F. Klanner, and B. Schuller, “Route and Stopping Intent Prediction at Intersections from Car Fleet Data,” IEEE Transactions on Intelligent Vehicles, vol. 1, pp. 177–186, June 2016 [pdf]
  • S. Frühholz, E. Marchi, and B. Schuller, “The Effect of Narrow-band Transmission on Recognition of Paralinguistic Information from Human Vocalizations,” IEEE Access, vol. 4, pp. 6059-6072, August 2016 [pdf]
  • E. Marchi, F. Vesperini, S. Squartini, and B. Schuller, “Deep Recurrent Neural Network-based Autoencoders for Acoustic Novelty Detection,” Computational Intelligence and Neuroscience, vol. 2017, Article ID 4694860, 14 pages, January 2017 [pdf]
  • W. Han, E. Coutinho, H. Ruan, H. Li, B. Schuller, X. Yu, and X. Zhu, “Semi-Supervised Active Learning for Sound Classification in Hybrid Learning Environments,” PLoS ONE, vol. 11, September 2016. [pdf]
  • J. Deng and X. Xu and Z. Zhang, S. Frühholz, and B. Schuller, "Exploitation of Phase-Based Features for Whispered Speech Emotion Recognition," IEEE Access Journal, vol. 4, pp. 4299-4309, 2016 [pdf]
  • B. Schuller, A. E.-D. Mousa, and V. Vasileios, "Sentiment Analysis and Opinion Mining: On Optimal Parameters and Performances," WIREs Data Mining and Knowledge Discovery, vol. 5, pp. 255-263, September/October 2015. [pdf]
  • Z. Zhang, E. Coutinho, J. Deng, and B. Schuller, "Distributing Recognition in Computational Paralinguistics," IEEE Transactions on Affective Computing, vol. 5, pp. 406-417, October/December 2014. [pdf]
  • J. Deng, Z. Zhang, F. Eyben, and B. Schuller, "Autoencoder based Unsupervised Domain Adaptation for Speech Emotion Recognition," IEEE Signal Processing Letters, vol. 21, no. 9, pp. 1068-1072, 2014. [pdf]
  • S. Hantke, F. Weninger, R. Kurle, F. Ringeval, A. Batliner, A. Mousa, and B. Schuller, “I Hear You Eat and Speak: Automatic Recognition of Eating Condition and Food Types, Use-Cases, and Impact on ASR Performance,” PLOS ONE, vol. 11, 24 pages, May 2016 [pdf]
  • A. Mencattini, E. Martinelli, F. Ringeval, B. Schuller, and C. Di Natale, “Continuous Estimation of Emotions in Speech by Dynamic Cooperative Speaker Models,” IEEE Transactions on Affective Computing, vol. 7, 2016. 14 pages [pdf]
  • A. Rynkiewicz, B. Schuller, E. Marchi, S. Piana, A. Camurri, A. Lassalle, and S. Baron-Cohen, “An investigation of the ‘female camouflage effect’ in autism using a computerized ADOS-2, and a test of sex/gender differences,” Molecular Autism, 2016. [pdf]
  • B. Schuller, “Editorial: Transactions on Affective Computing - Changes and Continuance,” IEEE Transactions on Affective Computing, vol. 7, pp. 1-2, January–March 2016.
  • B. Schuller, “Do Computers Have Personality?,” IEEE Computer Magazine, vol. 48, pp. 6-7, March 2015. [pdf]
  • F. Eyben, G. L. Salomo, J. Sundberg, K. Scherer, and B. Schuller, “Emotion in the singing voice - a deeper look at acoustic features in the light of automatic classification,” EURASIP Journal on Audio, Speech, and Music Processing, Special Issue on Scalable Audio-Content Analysis, vol. 19, March 2015. 9 pages [pdf]
  • A. Mencattini, F. Ringeval, B. Schuller, E. Martinelli, and C. D. Natale, “Continuous monitoring of emotions by a multimodal cooperative sensor system,” Procedia Engineering, Special Issue Eurosensors 2015, vol. 120, pp. 556-559, September 2015. [pdf] 
  • Z. Zhang, E. Coutinho, J. Deng, and B. Schuller, “Cooperative Learning and its Application to Emotion Recognition from Speech,” IEEE/ACM Transactions on Audio, Speech and Language Processing, vol. 23, no. 1, pp. 115-126, January, 2015. [pdf]
  • B. Schuller, S. Steidl, A. Batliner, E. Noth, A. Vinciarelli, F. Burkhardt, R. van Son, F. Weninger, F. Eyben, T. Bocklet, G. Mohammadi, and B. Weiss, “A Survey on Perceived Speaker Traits: Personality, Likability, Pathology, and the First Challenge,” Computer Speech and Language, Special Issue on Next Generation Computational Paralinguistics, vol. 29, pp. 100-131, January 2015. [pdf]
  • F. Ringeval, F. Eyben, E. Kroupi, A. Yuce, J.-P. Thiran, T. Ebrahimi, D. Lalanne, and B. Schuller, “Prediction of Asynchronous Dimensional Emotion Ratings from Audiovisual and Physiological Data,” Pattern Recognition Letters, vol. 66, pp. 22-30, November 2015. [pdf]
  • F. Eyben and B. Schuller, “openSMILE: The Munich OpenSource Large-Scale Multimedia Feature Extractor,” ACM SIGMM Records, vol. 6(4), pp. 4-13, December 2014. [pdf]
  • F. Eyben , K. Scherer , B. Schuller, J. Sundberg,, E. André, C. Busso, L. Devillers, J. Epps, P. Laukka, S. Narayanan, and K. Truong, "The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing,". IEEE Transactions on Affective Computing, vol. 7(2), pp. 190-202, April-June 2016.  [pdf]

Contributions to Books

B. Schuller, “Acquisition of affect,” in Emotions and Personality in Personalized Services (M. Tkalcic, B. De Carolis, M. de Gemmis, A. Odi´c, and A. Kosir, eds.), Springer, 1st ed., 2015. 20 pages.

Contributions to Refereed Conference Proceedings

  • E. Parada-Cabaleiro, A. Batliner, A. Baird, and B. Schuller, "The SEILS dataset: Symbolically encoded scores in modern-early notation for computational musicology", in Proceedings International Society for Music Information Retrieval Conference (ISMIR), Suzhou, China, October 2017. 7 pages, to appear [pdf]
  • M. Schmitt and B. Schuller, “Recognising Guitar Effects – Which Acoustic Features Really Matter?,” in Proceedings GI Workshop “Musik trifft Informatik”, held in conjunction with INFORMATIK 2017, Chemnitz, Germany, September 2017. 14 pages, to appear [pdf]
  • T. Geib, M. Schmitt, and B. Schuller, “Automatic Guitar String Detection by String-Inverse Frequency Estimation,” in Proceedings GI Workshop “Musik trifft Informatik”, held in conjunction with INFORMATIK 2017, Chemnitz, Germany, September 2017. 12 pages, to appear [pdf]
  • F. Pokorny, B. Schuller, P. Marschik, R. Brückner, P. Nyström, N. Cummins, S. Bölte, C. Einspieler, and T. Falck-Ytter, “Earlier Identification of Children with Autism Spectrum Disorder: An Automatic Vocalisation-based Approach,” in Proceedings INTERSPEECH 2017, 18th Annual Conference of the International Speech Communication Association, Stockholm, Sweden, August 2017. 5 pages, to appear
  • B. Vlasenko, H. Sagha, N. Cummins, and B. Schuller, “Implementing gender-dependent vowel-level analysis for boosting speech-based depression recognition,” in Proceedings INTERSPEECH 2017, 18th Annual Conference of the International Speech Communication Association, Stockholm, Sweden, August 2017. 5 pages, to appear [pdf]
  • A. Baird, S. Amiriparian, N. Cummins, A. M. Alcorn, A. Batliner, S. Pugachevskiy, M. Freitag, M. Gerczuk, and B. Schuller, “Automatic Classification of Autistic Child Vocalisations: A Novel Database and Results,” in Proceedings INTERSPEECH 2017, 18th Annual Conference of the International Speech Communication Association, Stockholm, Sweden, August 2017. 5 pages, to appear [pdf]
  • R. Brückner, M. Schmitt, M. Pantic, and B. Schuller, “Spotting Social Signals in Conversational Speech over IP: A Deep Learning Perspective,” in Proceedings INTERSPEECH 2017, 18th Annual Conference of the International Speech Communication Association, Stockholm, Sweden, August 2017. 5 pages, to appear [pdf]
  • 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 INTERSPEECH 2017, 18th Annual Conference of the International Speech Communication Association, Stockholm, Sweden, August 2017. 5 pages, to appear [pdf]
  • S. Hantke, H. Sagha, N. Cummins, and B. Schuller, “Emotional Speech of Mentally and Physically Disabled Individuals: Introducing The EmotAsS Database and First Findings,” in Proceedings INTERSPEECH 2017, 18th Annual Conference of the International Speech Communication Association, Stockholm, Sweden, August 2017. 5 pages, to appear [pdf]
  • S. Hantke, Z. Zhang, and B. Schuller, “Towards Intelligent Crowdsourcing for Audio Data Annotation: Integrating Active Learning in the Real World,” in Proceedings INTERSPEECH 2017, 18th Annual Conference of the International Speech Communication Association, Stockholm, Sweden, August 2017. 5 pages, to appear [pdf]
  • M. Freitag, S. Amiriparian, N. Cummins, M. Gerczuk, and B. Schuller, “An ‘End-to-Evolution’ Hybrid Approach for Snore Sound Classification,” in Proceedings INTERSPEECH 2017, 18th Annual Conference of the International Speech Communication Association, Stockholm, Sweden, August 2017. 5 pages, to appear [pdf]
  • E. Parada-Cabaleiro, A. Baird, A. Batliner, N. Cummins, S. Hantke, and B. Schuller, “The Perception of Emotions in Noisified Non-Sense Speech,” in Proceedings INTERSPEECH 2017, 18th Annual Conference of the International Speech Communication Association, Stockholm, Sweden, August 2017. 5 pages, to appear [pdf]
  • G. Hagerer, N. Cummins, F. Eyben, and B. Schuller, ““Did you laugh enough today?” – Deep Neural Networks for Mobile and Wearable Laughter Trackers,” in Proceedings INTERSPEECH 2017, 18th Annual Conference of the International Speech Communication Association, Stockholm, Sweden, August 2017. 2 pages, Show & Tell demonstration, to appear
  • E. Parada-Cabaleiro, A. E. Baird, N. Cummins, and B. Schuller, “Stimulation of Psychological Listener Experiences by Semi-Automatically Composed Electroacoustic Environments,” in Proceedings 18th IEEE International Conference on Multimedia and Expo (ICME), Hong Kong, China, July 2017. pp. 1051-1056 [pdf]
  • G. Keren, T. Kirschstein, E. Marchi, F. Ringeval, and B. Schuller, “End-to-end learning for dimensional emotion recognition from physiological signals,” in Proceedings 18th IEEE International Conference on Multimedia and Expo (ICME), Hong Kong, China, July 2017. 6 pages, pp. 985-990 [pdf]
  • J. Deng, N. Cummins, M. Schmitt, K. Qian, F. Ringeval, and B. Schuller, “Speech-based Diagnosis of Autism Spectrum Condition by Generative Adversarial Network Representations,” in Proceedings of the 7th International Digital Health Conference, London, UK, July 2017. pp. 53-57 [pdf]
  • N. Cummins, M. Schmitt, S. Amiriparian, J. Krajewski, and B. Schuller, “You sound ill, take the day off: Classification of speech affected by Upper Respiratory Tract Infection,” in Proceedings of the 39th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Jeju, South Korea, July 2017. pp. 3806-3809 [pdf]
  • K. Qian, C. Janott, J. Deng, C. Heiser, W. Hohenhorst, N. Cummins, and B. Schuller, “Snore Sound Recognition: On Wavelets and Classifiers from Deep Nets to Kernels,” in Proceedings of the 39th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Jeju, South Korea, July 2017. pp. 3737-3740 [pdf]
  • N. Cummins, B. Vlasenko, H. Sagha, and B. Schuller, “Enhancing speech-based depression detection through gender dependent vowel level formant features,” in Proc. 16th Conference on Artificial Intelligence in Medicine (AIME), Vienna, Austria, June 2017. 5 pages, pp. 3-8 [pdf]
  • G. Hagerer, V. Pandit, F. Eyben, and B. Schuller, “Enhancing LSTM RNN-based Speech Overlap Detection by Artificially Mixed Data,” in Proceedings AES 56th International Conference on Semantic Audio, Erlangen, Germany, June 2017. 8 pages [pdf]
  • J. Böhm, F. Eyben, M. Schmitt, H. Kosch, and B. Schuller, “Seeking the SuperStar: Automatic Assessment of Perceived Singing Quality,” in Proceedings 30th International Joint Conference on Neural Networks (IJCNN), Anchorage, AK, May 2017. pp. 1560-1569 [pdf]
  • Z. Zhang, F. Weninger, M. W ̈ollmer, J. Han, and B. Schuller, “Towards Intoxicated Speech Recognition,” in Proceedings 30th International Joint Conference on Neural Networks (IJCNN), Anchorage, AK, May 2017.pp. 1555-1559 [pdf]
  • N. Cummins, S. Hantke, S. Schnieder, J. Krajewski, and B. Schuller, “Classifying the Context and Emotion of Dog Barks: A Comparison of Acoustic Feature Representations,” in Proceedings Preconference on Affective Computing 2017 SAS Annual Conference, Boston, MA, April 2017. pp. 14-15 [pdf]
  • A. E.-D. Mousa and B. Schuller, “Contextual Bidirectional Long Short-Term Memory Recurrent Neural Network Language Models: A Generative Approach to Sentiment Analysis,” in Pro-ceedings of the European Chapter of the Association for Computational Linguistics (EACL), Valencia,Spain, April 2017.pp. 1023-1032 [pdf]
  • F. Eyben, M. Unfried, G. Hagerer, and B. Schuller, “Automatic Multi-lingual Arousal Detection from Voice Applied to Real Product Testing Applications,” in Proceedings of ICASSP, New Orleans, LA, March 2017. 5155-5159 [pdf]
  • J. Han, Z. Zhang, F. Ringeval, and B. Schuller, “Prediction-based Learning from Continuous Emotion Recognition in Speech,” in Proceedings of ICASSP, New Orleans, LA, March 2017. pp 5005-5009[pdf]
  • J. Han, Z. Zhang, F. Ringeval, and B. Schuller, “Reconstruction-error-based Learning for Continuous Emotion Recognition in Speech,” in Proceedings of ICASSP, New Orleans, LA, March 2017. pp 2367-2371[pdf]
  • G. Keren, S. Sabato, and B. Schuller, “Tunable Sensitivity to Large Errors in Neural Network Training,” in Proceedings of the 31st AAAI Conference on Artificial Intelligence, San Francisco, CA, February 2017. 2087-2093 [pdf]
  • X. Xu, J. Deng, M. Gavryukova, Z. Zhang, L. Zhao, and B. Schuller, “Multiscale Kernel Locally Penalised Discriminant Analysis Exemplified by Emotion Recognition in Speech,” in Proceedings of the 18th ACM International Conference on Multimodal Interaction (ICMI), Tokyo, Japan, November 2016. pp 233-237 [pdf] [ppt]
  • Y. Zhang, F. Weninger, A. Batliner, F. H ̈onig, and B. Schuller, “Language Proficiency Assessment of English L2 Speakers Based on Joint Analysis of Prosody and Native Language,” in Proceedings of the 18th ACM International Conference on Multimodal Interaction (ICMI), Tokyo, Japan, November 2016. pp 274-278 [pdf]
  • Y. Li, J. Tao, B. Schuller, S. Shan, D. Jiang, and J. Jia, “MEC 2016: The Multimodal Emotion Recognition Challenge of CCPR 2016,” in Proceedings of the 7th Chinese Conference on Pattern Recognition (CCPR), Chengdu, China, November 2016. pp. 667-678 [pdf]
  • J. Deng, N. Cummins, J. Han, X. Xu, Z. Ren, V. Pandit, Z. Zhang, and B. Schuller, “The University of Passau Open Emotion Recognition System for the Multimodal Emotion Challenge,” in Proceedings of the 7th Chinese Conference on Pattern Recognition (CCPR), Chengdu, China, November 2016. pp. 652-666 [pdf]
  • M. Schmitt, C. Janott, V. Pandit, K. Qian, C. Heiser, W. Hemmert, and B. Schuller, “A Bag-of-Audio-Words Approach for Snore Sounds’ Excitation Localisation,” in Proceedings 14th ITG Conference on Speech Communication, Paderborn, Germany, October 2016. pp. 230-234  [pdf]
  • M. Schmitt, E. Marchi, F. Ringeval, and B. Schuller, “Towards Cross-lingual Automatic Diagnosis of Autism Spectrum Condition in Children’s Voices,” in Proceedings 14th ITG Conference on Speech Communication, Paderborn, Germany, October 2016. pp. 264-268  [pdf]
  • E. Marchi, D. Tonelli, X. Xu, F. Ringeval, J. Deng, S. Squartini, and B. Schuller, “Pairwise Decomposition with Deep Neural Networks and Multiscale Kernel Subspace Learning for Acoustic Scene Classification,” in Proceedings of the Detection and Classification of Acoustic Scenes and Events Challenge Workshop (DCASE), satellite to EUSIPCO 2016, Budapest, Hungary, September 2016. 5 pages [pdf]
  • B. Vlasenko, B. Schuller, and A. Wendemuth, “Tendencies Regarding the Effect of Emotional Intensity in Inter Corpus Phoneme-Level Speech Emotion Modelling,” in Proceedings 2016 IEEE International Workshop on Machine Learning for Signal Processing, MLSP, Salerno, Italy, September 2016. 6 pages [pdf]
  • M. Valstar, B. Schuller, J. Krajewski, R. Cowie, and M. Pantic, "AVEC 2014: the 4th International Audio/Visual Emotion Challenge and Workshop," in Proceedings of the 22nd ACM International Conference on Multimedia, MM 2014, (Orlando, FL), pp. 1243-1244, ACM, ACM, November 2014. [pdf]
  • B. Schuller, S. Steidl, A. Batliner, J. Epps, F. Eyben, F. Ringeval, E. Marchi, and Y. Zhang, "The INTERSPEECH 2014 Computational Paralinguistics Challenge: Cognitive & Physical Load," in Proceedings INTERSPEECH 2014, 15th Annual Conference of the International Speech Communication Association, (Singapore, Singapore), ISCA, ISCA, September 2014. 5 pages. [pdf]
  • B. Schuller, F. Friedmann, and F. Eyben, "The Munich BioVoice Corpus: Effects of Physical Exercising, Heart Rate, and Skin Conductance on Human Speech Production," in Proceedings 9th Language Resources and Evaluation Conference (LREC 2014), (Reykjavik, Iceland), pp. 1506-1510, ELRA, ELRA, May 2014 [pdf]
  • A. Batliner and B. Schuller, "More Than Fifty Years of Speech Processing - The Rise of Computational Paralinguistics and Ethical Demands," in Proceedings ETHICOMP 2014, (Paris, France), Commission de réflexion sur l'Éthique de la Recherche en sciences et technologies du Numérique d'Allistene, CERNA, June 2014. [pdf]
  • E. Coutinho, J. Deng, and B. Schuller, "Transfer Learning Emotion Manifestation Across Music and Speech," in Proceedings 2014 International Joint Conference on Neural Networks (IJCNN) as part of the IEEE World Congress on Computational Intelligence (IEEE WCCI), (Beijing, China), pp. 3592-3598, IEEE, IEEE, July 2014. [pdf]
  • J. Deng, Z. Zhang, and B. Schuller, "Linked Source and Target Domain Subspace Feature Transfer Learning - Exemplified by Speech Emotion Recognition," in Proceedings 22nd International Conference on Pattern Recognition (ICPR 2014), (Stockholm, Sweden), pp. 761-766, IAPR, IAPR, August 2014. [pdf]
  • F. Ringeval, S. Amiriparian, F. Eyben, K. Scherer, and B. Schuller, "Emotion Recognition in the Wild: Incorporating Voice and Lip Activity in Multimodal Decision-Level Fusion". In Proceedings of the ICMI 2014 EmotiW - Emotion Recognition In The Wild Challenge and Workshop (EmotiW 2014), Satellite of the 16th ACM International Conference on Multimodal Interaction (ICMI 2014), pages 473-480, Istanbul, Turkey, November 2014. ACM, ACM. [pdf]
  • J. Deng, R. Xia, Z. Zhang, Y. Liu, and B. Schuller, "Introducing shared-Hidden-Layer Autoencoders for Transfer Learning and their Application in Acoustic Emotion Recognition," in Proceedings 39th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014, (Florence, Italy), pp. 4851-4855, IEEE, IEEE, May 2014. [pdf]
  • J. Pohjalainen, F. Ringeval, Z. Zhang and B. Schuller, "Spectral and Cepstral Audio Noise Reduction Techniques in Speech Emotion Recognition," in Proceedings of the 24th ACM  international Conference on Multimedia (ACMMM), Amsterdam, Netherlands, 2016. pp. 670-674 [pdf]
  • F. B. Pokorny, R. Peharz, W. Roth, M. Zohrer, F. Pernkopf, P. B. Marschik, and B. W. Schuller, “Manual Versus Automated: The Challenging Routine of Infant Vocalisation Segmentation in Home Videos to Study Neuro(mal)development,” in Proceedings of Annual Conference of the International Speech Communication Association (INTERSPEECH), San Francsico, CA, 2016. pp. 2997-3001 [pdf]
  • F. B. Pokorny, P. B. Marschik, C. Einspieler, and B. W. Schuller, “Does She Speak RTT? Towards an Earlier Identification of Rett Syndrome Through Intelligent Pre-linguistic Vocalisation Analysis,” in Proceedings of Annual Conference of the International Speech Communication Association (INTERSPEECH), San Francsico, CA, 2016. pp. 1953-1957 [pdf]
  • A. E.-D. Mousa and B. Schuller, “Deep Bidirectional Long Short-Term Memory Recurrent Neural Networks for Grapheme-to-Phoneme Conversion utilizing Complex Many-to-Many Alignments,”  in Proceedings of Annual Conference of the International Speech Communication Association (INTERSPEECH), San Francsico, CA, 2016. pp. 2836-2840 [pdf]
  • Z. Zhang, F. Ringeval, J. Han, J. Deng, E. Marchi, and B. Schuller, “Facing Realism in Spontaneous Emotion Recognition from Speech: Feature Enhancement by Autoencoder with LSTM Neural Networks,” in Proceedings of Annual Conference of the International Speech Communication Association (INTERSPEECH), San Francsico, CA, 2016. pp. 3593-3597 [pdf]
  • H. Sagha, P. Matejka, M. Gavryukova, F. Povolny, E. Marchi, and B. Schuller, “Enhancing multilingual recognition of emotion in speech by language identification,” in Proceedings of Annual Conference of the International Speech Communication Association (INTERSPEECH), San Francsico, CA, 2016. pp. 2949-2953 [pdf]
  • M. Schmitt, F. Ringeval, and B. Schuller, “At the Border of Acoustics and Linguistics: Bag-of-Audio-Words for the Recognition of Emotions in Speech,”  in Proceedings of Annual Conference of the International Speech Communication Association (INTERSPEECH), San Francsico, CA, 2016. pp. 495-499 [pdf]
  • F. Ringeval, E. Marchi, C. Grossard, J. Xavier, M. Chetouani, D. Cohen, and B. Schuller, “Automatic Analysis of Typical and Atypical Encoding of Spontaneous Emotion in the Voice of Children,”  in Proceedings of Annual Conference of the International Speech Communication Association (INTERSPEECH), San Francsico, CA, 2016. pp. 1210-1214 [pdf]
  • G. Keren, J. Deng, J. Pohjalainen, and B. Schuller, “Convolutional Neural Networks and Data Augmentation for Classifying Speakers’ Native Language,” in Proceedings of Annual Conference of the International Speech Communication Association (INTERSPEECH), San Francsico, CA, 2016. pp. 2393-2397  [pdf] [ppt]
  • S. Amiriparian, J. Pohjalainen, E. Marchi, S. Pugachevskiy, and B. Schuller, “Is deception emotional? An emotion-driven predictive approach,” in Proceedings of Annual Conference of the International Speech Communication Association (INTERSPEECH), San Francsico, CA, 2016. pp. 2011-2015 [pdf]
  • M. Valstar, J. Gratch, B. Schuller, F. Ringeval, D. Lalanne, M. Torres Torres, S. Scherer, G. Stratou, R. Cowie, and M. Pantic, “AVEC 2016 – Depression, Mood, and Emotion Recognition Workshop and Challenge,” in Proceedings of the 6th International Workshop on Audio/Visual Emotion Challenge, AVEC’16, co-located with the 24th ACM International Conference on Multimedia, Amsterdam, Netherlands, October 2016. 8 pages, pp. 3-10 [pdf]
  • M. Valstar, J. Gratch, B. Schuller, F. Ringeval, R. Cowie, and M. Pantic, “Summary for AVEC 2016: Depression, Mood, and Emotion Recognition Workshop and Challenge,” in Proceedings of the 24th ACM International Conference on Multimedia, Amsterdam, Netherlands, October 2016, pp. 1483–1484 [pdf]
  • B. Schuller, “7 Essential Principles to Make Multimodal Sentiment Analysis Work in the Wild,” in Proceedings of the 4th Workshop on Sentiment Analysis where AI meets Psychology (SAAIP), satellite of the 25th International Joint Conference on Artificial Intelligence (IJCAI), New York City, NY, 2016. 1 page [pdf]
  • B. Schuller, S. Steidl, A. Batliner, J. Hirschberg, J. K. Burgoon, A. Baird, A. Elkins, Y. Zhang, E. Coutinho, and K. Evanini, “The INTERSPEECH 2016 Computational Paralinguistics Challenge: Deception & Sincerity,” in Proceedings of INTERSPEECH, 17th Annual Conference of the International Speech Communication Association, San Francsico, CA, September 2016, pp. 2001-2005 [pdf]
  • F. Weninger, F. Ringeval, E. Marchi, and B. Schuller, “Discriminatively trained recurrent neural networks for continuous dimensional emotion recognition from audio,” in Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI), New York City, NY, July 2016, pp. 2196-2202 [pdf]
  • A. Balahur, M. Taboada, and B. Schuller, “Affect Detection from Spoken and Written Text - Computational Models for Affect and Sentiment Analysis,” in Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI), New York City, NY, July 2016, 4 pages
  • G. Keren and B. Schuller, “Convolutional RNN: an Enhanced Model for Extracting Features from Sequential Data,” in Proceedings of International Joint Conference on Neural Networks (IJCNN), Vancouver, Canada, July 2016, 8 pages [pdf] [ppt]
  • S. Hantke, E. Marchi, and B. Schuller, “Introducing the Weighted Trustability Evaluator for Crowdsourcing Exempli- fied by Speaker Likability Classification,” in Proceedings of Language Resources and Evaluation Conference (LREC), Portoroz, Slovenia, May 2016, pp. 2156-2161, [pdf]
  • E. Coutinho, F. Hönig, Y. Zhang, S. Hantke, A. Batliner, E. Noth, and B. Schuller, “Assessing the Prosody of Non-Native Speakers of English: Measures and Feature Sets,” in Proceedings of Language Resources and Evaluation Conference (LREC), Portoroz, Slovenia, May 2016, pp. 1328-1332, [pdf]
  • B. Dong, Z. Zhang, and B. Schuller, “Empirical Mode Decomposition: A Data-Enrichment Perspective on Speech Emotion Recognition,” in Proceedings of International Workshop on Emotion and Sentiment Analysis (ESA), satellite of Language Resources and Evaluation Conference (LREC), Portoroz, Slovenia, May 2016, pp. 71-75, [pdf]
  • S. Hantke, A. Batliner, and B. Schuller, “Ethics for Crowdsourced Corpus Collection, Data Annotation and its Application in the Web-based Game iHEARu-PLAY,” in Proceedings of International Workshop on ETHics In Corpus Collection, Annotation and Application (ETHI-CA2), satellite of Language Resources and Evaluation Conference (LREC), Portoroz, Slovenia, May 2016, pp. 54-59, [pdf]
  • B. Schuller, J.-G. Ganascia, and L. Devillers, “Multimodal Sentiment Analysis in the Wild: Ethical considerations on Data Collection, Annotation, and Exploitation,” in Proceedings of the 1st International Workshop on ETHics In Corpus Collection, Annotation and Application (ETHI-CA 2), satellite of the 10th Language Resources and Evaluation Conference (LREC), Portoroz, Slovenia, pp. 29–34, May 2016 [pdf]
  • J. Sánchez-Rada, B. Schuller, V. Patti, P. Buitelaar, G. Vulcu, F. Burkhardt, C. Clavel, M. Petychakis, and C. A. Iglesias, “Towards a Common Linked Data Model for Sentiment and Emotion Analysis,” in Proceedings of the 6th International Workshop on Emotion and Sentiment Analysis (ESA), satellite of the 10th Language Resources and Evaluation Conference (LREC), Portoroz, Slovenia, pp. 48–54, May 2016. [pdf]
  • R. Wegener, C. Kohlschein, S. Jeschke, and B. Schuller, “Automatic Detection of TextualTriggers of Reader Emotion in Short Stories,” in Proceedings of the 6th International Workshop onEmotion and Sentiment Analysis (ESA), satellite of the 10th Language Resources and Evaluation Conference (LREC), Portoroz, Slovenia, pp. 80–84, May 2016 [pdf]
  • B. Schuller and M. McTear, “Sociocognitive Language Processing - Emphasising the Soft Factors,” in Proceedings of the Seventh International Workshop on Spoken Dialogue Systems (IWSDS), Saariselkä, Finland, January 2016, 6 pages [pdf]
  • J. Deng, X. Xu, Z. Zhang, S. Frühholz, D. Grandjean, and B. Schuller, “Fisher Kernels on Phase-based Features for Speech Emotion Recognition,” in Proceedings of the Seventh International Workshop on Spoken Dialogue Systems (IWSDS), Saariselkä, Finland, January 2016, 6 pages [pdf]
  • H. Sagha, J. Deng, M. Gavryukova, J. Han, and B. Schuller, “Cross Lingual Speech Emotion Recognition using Canonical Correlation Analysis on Principal Component Subspace,” in Proceedings 41st IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Shanghai, China, March 2016, pp. 5800-5804 [pdf]
  • G. Trigeorgis, F. Ringeval, R. Brückner, E. Marchi, M. Nicolaou, B. Schuller, and S. Zafeiriou, “Adieu Features? End-to-End Speech Emotion Recognition using a Deep Convolutional Recurrent Network,” in Proceedings 41st IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Shanghai, China, March 2016, pp. 5200-5204 [pdf]
  • Z. Zhang, F. Ringeval, B. Dong, E. Coutinho, E. Marchi, and B. Schuller, “Enhanced Semi-Supervised Learning for Multimodal Emotion Recognition,” in Proceedings 41st IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Shanghai, China, March 2016, pp. 5185-5189 [pdf]
  • K. Qian, C. Janott, Z. Zhang, C. Heiser, and B. Schuller, “Wavelet Features for Classification of VOTE Snore Sounds,” in Proceedings 41st IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Shanghai, China, March 2016, pp. 221-225 [pdf]
  • Y. Zhang, E. Coutinho, Z. Zhang, C. Quan, and B. Schuller, “Dynamic Active Learning Based on Agreement and Applied to Recognition of Emotions in Spoken Interactions,” in Proceedings 17th International Conference on Multimodal Interaction, ICMI 2015, (Seattle, WA), ACM, ACM, November 2015. 4 pages [pdf]
  • Y. Zhang, E. Coutinho, Z. Zhang, M. Adam, and B. Schuller, “On Rater Reliability and Correlation Based Dynamic Active Learning,” in Proc. 6th biannual Conference on Affective Computing and Intelligent Interaction (ACII 2015), (Xi’an, P. R. China), AAAC, IEEE, September 2015. 7 pages [pdf]
  • G. Trigeorgis, E. Coutinho, F. Ringeval, E. Marchi, S. Zafeiriou, and B. Schuller, “The ICL-TUM-PASSAU approach for the MediaEval 2015 “Affective Impact of Movies” Task,” in Proceedings of the MediaEval 2015 Multimedia Benchmark Workshop, satellite of Interspeech 2015, (Wurzen, Germany), September 2015. 3 pages [pdf]  
  • H. Sagha, E. Coutinho, and B. Schuller, “The importance of individual differences in the prediction of emotions induced by music,” in Proceedings of the 5th International Audio/Visual Emotion Challenge and Workshop, satellite of the 23rd ACM International Conference on Multimedia, MM 2015, (Brisbane, Australia), ACM, ACM, October 2015. 7 pages  [pdf]
  • F. Ringeval, B. Schuller, M. Valstar, R. Cowie, and M. Pantic, “AVEC 2015 – The 5th International Audio/Visual Emotion Challenge and Workshop,” in Proceedings of the 23rd ACM International Conference on Multimedia, MM 2015, (Brisbane, Australia), ACM, ACM, October 2015. 2 pages [pdf]
  • F. Ringeval, B. Schuller, M. Valstar, S. Jaiswal, E. Marchi, D. Lalanne, R. Cowie, and M. Pantic, “AV+EC 2015 - The First Affect Recognition Challenge Bridging Across Audio, Video, and Physiological Data,” in Proceedings of the 5th International Audio/Visual Emotion Challenge and Workshop, satellite of the 23rd ACM International Conference on Multimedia, MM 2015, (Brisbane, Australia), ACM, ACM, October 2015. 4 pages  [pdf] 
  • K. Qian, Z. Zhang, F. Ringeval, and B. Schuller, “Bird Sounds Classification by Large Scale Acoustic Features and Extreme Learning Machine,” in Proceedings 3rd IEEE Global Conference on Signal and Information Processing, GlobalSIP, Machine Learning Applications in Speech Processing Symposium, (Orlando, FL), IEEE, IEEE, December 2015. 5 pages [pdf]
  • F. Pokorny, F. Graf, F. Pernkopf, and B. Schuller, “Detection of Negative Emotions in Speech Signals Using Bags-of-AudioWords,” in Proc. 1st International Workshop on Automatic Sentiment Analysis in the Wild (WASA 2015) held in conjunction with the 6th biannual Conference on Affective Computing and Intelligent Interaction (ACII 2015), (Xi’an, P. R. China), AAAC, IEEE, September 2015. 6 pages (acceptance rate: 60 %)  [pdf]
  • P. Pohl and B. Schuller, “Digital Analysis of Vocal Operants,” in Proceedings 2015 Meeting of the Experimental Analysis of Behaviour Group (EABG), (London, UK), EABG, EABG, March 2015. 1 page 
  • E. Marchi, F. Vesperini, F. Weninger, F. Eyben, S. Squartini, and B. Schuller, “Non-Linear Prediction with LSTM Recurrent Neural Networks for Acoustic Novelty Detection,” in Proceedings 2015 International Joint Conference on Neural Networks (IJCNN), (Killarney, Ireland), IEEE, IEEE, July 2015. [pdf]
  • S. Hantke, T. Appel, F. Eyben, and B. Schuller, “iHEARuPLAY: Introducing a game for crowdsourced data collection for affective computing and computational paralinguistics,” in Proc. 1st International Workshop on Automatic Sentiment Analysis in the Wild (WASA 2015) held in conjunction with the 6th biannual Conference on Affective Computing and Intelligent Interaction (ACII 2015), (Xi’an, P. R. China), AAAC, IEEE, September 2015. 6 pages (acceptance rate: 60 %) [pdf]
  • K. Gentsch, E. Coutinho, F. Eyben, B. Schuller, and K. R. Scherer, “Classifying Emotion-Antecedent Appraisal in Brain Activity using Machine Learning Methods,” in Proceedings of the International Society for Research on Emotions Conference (ISRE 2015), (Geneva, Switzerland), ISRE, ISRE, July 2015 [pdf]
  • S. Feraru, D. Schuller, and B. Schuller, “Cross-Language Acoustic Emotion Recognition: An Overview and Some Tendencies,” in Proc. 6th biannual Conference on Affective Computing and Intelligent Interaction (ACII 2015), (Xi’an, P. R. China), 6 AAAC, IEEE, September 2015. 7 pages (acceptance rate oral: 28 %) [pdf]  
  • B. Schuller, “Speech Analysis in the Big Data Era,” in Proceedings of the 18th International Conference on Text, Speech and Dialogue, TSD 2015, Lecture Notes in Artificial Intelligence (LNAI), Springer, September 2015. satellite event of INTERSPEECH 2015, invited contribution, 8 pages [pdf]    
  • B. Schuller, B. Vlasenko, F. Eyben, M. Wollmer, A. Stuhlsatz, ¨ A. Wendemuth, and G. Rigoll, “Cross-Corpus Acoustic Emotion Recognition: Variances and Strategies (Extended Abstract),” in Proc. 6th biannual Conference on Affective Computing and Intelligent Interaction (ACII 2015), (Xi’an, P. R. China), AAAC, IEEE, September 2015. invited for the Special Session on Most Influential Articles in IEEE Transactions on Affective Computing, 7 pages [pdf]
  • B. Schuller, “Modelling User Affect and Sentiment in Intelligent User Interfaces: a Tutorial Overview,” in Proceedings of the 20th ACM International Conference on Intelligent User Interfaces, IUI 2015, (Atlanta, GA), ACM, ACM, March 2015. [pdf]
  • B. Schuller, F. Friedmann, and F. Eyben, “Automatic Recognition of Physiological Parameters in the Human Voice: Heart Rate and Skin Conductance,” in Proceedings 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013, (Vancouver, Canada), pp. 7219–7223, IEEE, IEEE, May 2013. [pdf]
  • J. Deng, Z. Zhang, E. Marchi, and B. Schuller, “Sparse Autoencoder-based Feature Transfer Learning for Speech Emotion Recognition,” in Proc. 5th biannual Humaine Association Conference on Affective Computing and Intelligent Interaction (ACII 2013), (Geneva, Switzerland), pp. 511–516, HUMAINE Association, IEEE, September 2013. [pdf]
  • J. T. Geiger, B. Schuller, and G. Rigoll, “Large-Scale Audio Feature Extraction and SVM for Acoustic Scene Classification,” in Proceedings of the 2013 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2013, (New Paltz, NY), pp. 1–4, IEEE, IEEE, October 2013. [pdf]
  • F. Eyben, F. Weninger, and B. Schuller, “Affect recognition in real-life acoustic conditions - A new perspective on feature selection,” in Proceedings INTERSPEECH 2013, 14th Annual Conference of the International Speech Communication Association, (Lyon, France), pp. 2044–2048, ISCA, ISCA, August 2013. [pdf]
  • J. T. Geiger, F. Eyben, B. Schuller, and G. Rigoll, “Detecting Overlapping Speech with Long Short-Term Memory Recurrent Neural Networks,” in Proceedings INTERSPEECH 2013, 14th Annual Conference of the International Speech Communication Association, (Lyon, France), pp. 1668–1672, ISCA, ISCA, August 2013. [pdf]
  • J. T. Geiger, F. Eyben, N. Evans, B. Schuller, and G. Rigoll, “Using Linguistic Information to Detect Overlapping Speech,” in Proceedings INTERSPEECH 2013, 14th Annual Conference of the International Speech Communication Association, (Lyon, France), pp. 690–694, ISCA, ISCA, August 2013. [pdf]
  • Z. Zhang, J. Deng, E. Marchi, and B. Schuller, “Active Learning by Label Uncertainty for Acoustic Emotion Recognition,” in Proceedings INTERSPEECH 2013, 14th Annual Conference of the International Speech Communication Association, (Lyon, France), pp. 2841–2845, ISCA, ISCA, August 2013. [pdf]
  • A. Rosner, F. Weninger, B. Schuller, M. Michalak, and B. Kostek, “Influence of Low-Level Features Extracted from Rhythmic and Harmonic Sections on Music Genre Classification,” in Man-Machine Interactions 3 (A. Gruca, T. Czachrski, and S. Kozielski, eds.), vol. 242 of Advances in Intelligent Systems and Computing (AISC), pp. 467–473, Springer, 2013 [pdf]
  • Y. Zhang, E. Coutinho, Z. Zhang, C. Quan, and B. Schuller, "Agreement-based Dynamic Active Learning with Least and Medium Certainty Query Strategy", in Proceedings Advances in Active Learning : Bridging Theory and Practice Workshop held in conjunction with the 32nd International Conference on Machine Learning (ICML), July 2015 [pdf]
  • B. Schuller, E. Marchi, S. Baron-Cohen, A. Lassalle, H. O'Reilly, D. Pigat, P. Robinson, I. Davies, T. Baltrusaitis, M. Mahmoud, "Recent developments and results of ASC-Inclusion: An Integrated Internet-Based Environment for Social Inclusion of Children with Autism Spectrum Conditions", in Proceedings 3rd International Workshop on Digital Games for Empowerment and Inclusion (IDGEI 2015) held in conjunction with the 20th International Conference on Intelligent User Interfaces (IUI 2015), ACM, Atlanta, US, 29.03-01.04.2015. [pdf]
  • E. Marchi, F. Vesperini, F. Eyben, S. Squartini, and B. Schuller, “A Novel Approach for Automatic Acoustic Novelty Detection Using a Denoising Autoencoder with Bidirectional LSTM Neural Networks,” in Proceedings 40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015, (Brisbane, Australia), IEEE, IEEE, April 2015. 5 pages. [pdf]
  • B. Schuller, S. Steidl, A. Batliner, S. Hantke, F. Hönig, J. R. Orozco-Arroyave, E. Nöth, Y. Zhang, F. Weninger: "The INTERSPEECH 2015 Computational Paralinguistics Challenge: Degree of Nativeness, Parkinson's \& Eating Condition", Proc. INTERSPEECH 2015, 16th Annual Conference of the International Speech Communication Association, ISCA 2015, Dresden, Germany, 06.-10.09.2015. [pdf]
  • X. Xu, J. Deng, W. Zheng, L. Zhao, B. Schuller: "Dimensionality Reduction for Speech Emotion Features by Multiscale Kernels", Proc. INTERSPEECH 2015, 16th Annual Conference of the International Speech Communication Association, ISCA 2015, Dresden, Germany, 06.-10.09.2015. [pdf]
  • F. Ringeval, E. Marchi, M. Mehu, K. Scherer, and B. Schuller, “Face Reading from Speech - Predicting Facial Action Units from Audio Cues,” in Proceedings INTERSPEECH 2015, 16th Annual Conference of the International Speech Communication Association, (Dresden, Germany), ISCA [pdf]
  • E. Marchi, B. Schuller, S. Baron-Cohen, O. Golan, S. Bolte, P. Arora, and R. Häb-Umbach. "Typicality and Emotion in the Voice of Children with Autism Spectrum Condition: Evidence Across Three Languages" in Proceedings INTERSPEECH 2015, 16th Annual Conference of the International Speech Communication Association, Dresden, Germany, September 2015. ISCA, ISCA. 5 pages. [pdf]
  •  

Technical reports

  • Z. Zhang, J. Geiger, J. Pohjalainen, A. E.-D. Mousa, and B. Schuller, “Deep Learning for Environmentally Robust Speech Recognition: An Overview of Recent Developments,” arxiv.org, May 2017. 14 pages [pdf]
  • G. Keren, S. Sabato, and B. Schuller, “Fast Single-Class Classification and the Principle of Logit Separation,” arxiv.org, May 2017. 11 pages [pdf]
  • P. Tzirakis, G. Trigeorgis, M. A. Nicolaou, B. Schuller, and S. Zafeiriou, “End-to-End Multimodal Emotion Recognition using Deep Neural Networks,” arxiv.org, April 2017. 9 pages [pdf]
  • M. Schmitt and B. Schuller, “openXBOW – Introducing the Passau Open-Source Crossmodal Bag-of-Words Toolkit,” arxiv.org, May 2016. 9 pages [pdf]
  • A. Mousa, E. Marchi, B. Schuller, “The ICSTM+TUM+UP Approach to the 3rd CHIME Challenge: Single-Channel LSTM Speech Enhancement with MultiChannel Correlation Shaping Dereverberation and LSTM Language Models ,” arxiv.org, October 2015. 9 pages [pdf]

Complete List

A complete list of publications of the head of the chair is obtainable as