Publications
1105 results found
Baird A, Cummins N, Schnieder S, et al., 2020, An Evaluation of the Effect of Anxiety on Speech - Computational Prediction of Anxiety from Sustained Vowels, Interspeech Conference, Publisher: ISCA-INT SPEECH COMMUNICATION ASSOC, Pages: 4951-4955, ISSN: 2308-457X
- Author Web Link
- Cite
- Citations: 6
Tzirakis P, Shiarella A, Ewers R, et al., 2020, Computer Audition for Continuous Rainforest Occupancy Monitoring: The Case of Bornean Gibbons' Call Detection, Interspeech Conference, Publisher: ISCA-INT SPEECH COMMUNICATION ASSOC, Pages: 1211-1215, ISSN: 2308-457X
- Author Web Link
- Cite
- Citations: 3
Botelho C, Diener L, Kuester D, et al., 2020, Toward Silent Paralinguistics: Speech-to-EMG - Retrieving Articulatory Muscle Activity from Speech, Interspeech Conference, Publisher: ISCA-INT SPEECH COMMUNICATION ASSOC, Pages: 354-358, ISSN: 2308-457X
- Author Web Link
- Cite
- Citations: 1
Mallol-Ragolta A, Cummins N, Schuller BW, 2020, An Investigation of Cross-Cultural Semi-Supervised Learning for Continuous Affect Recognition, Interspeech Conference, Publisher: ISCA-INT SPEECH COMMUNICATION ASSOC, Pages: 511-515, ISSN: 2308-457X
- Author Web Link
- Cite
- Citations: 2
Yang Z, Liu S, Song M, et al., 2020, Adventitious Respiratory Classification using Attentive Residual Neural Networks, Interspeech Conference, Publisher: ISCA-INT SPEECH COMMUNICATION ASSOC, Pages: 2912-2916, ISSN: 2308-457X
- Author Web Link
- Cite
- Citations: 14
Stappen L, Schuller B, Lefter I, et al., 2020, Summary of MuSe 2020: Multimodal Sentiment Analysis, Emotion-target Engagement and Trustworthiness Detection in Real-life Media, 28th ACM International Conference on Multimedia (MM), Publisher: ASSOC COMPUTING MACHINERY, Pages: 4769-4770
- Author Web Link
- Cite
- Citations: 6
Mallol-Ragolta A, Liu S, Cummins N, et al., 2020, A Curriculum Learning Approach for Pain Intensity Recognition from Facial Expressions, 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG), Publisher: IEEE, Pages: 829-833, ISSN: 2326-5396
- Author Web Link
- Cite
- Citations: 2
Aspandi D, Mallol-Ragolta A, Schuller B, et al., 2020, Latent-Based Adversarial Neural Networks for Facial Affect Estimations, 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG), Publisher: IEEE, Pages: 606-610, ISSN: 2326-5396
- Author Web Link
- Cite
- Citations: 4
Mertes S, Baird A, Schiller D, et al., 2020, An Evolutionary-based Generative Approach for Audio Data Augmentation, 22nd IEEE International Workshop on Multimedia Signal Processing (MMSP), Publisher: IEEE, ISSN: 2163-3517
Koike T, Qian K, Kong Q, et al., 2020, Audio for Audio is Better? An Investigation on Transfer Learning Models for Heart Sound Classification, 42nd Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (EMBC), Publisher: IEEE, Pages: 74-77, ISSN: 1557-170X
- Author Web Link
- Cite
- Citations: 26
Zhao Z, Bao Z, Zhang Z, et al., 2020, HIERARCHICAL ATTENTION TRANSFER NETWORKS FOR DEPRESSION ASSESSMENT FROM SPEECH, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Publisher: IEEE, Pages: 7159-7163, ISSN: 1520-6149
- Author Web Link
- Cite
- Citations: 23
Rizos G, Baird A, Elliott M, et al., 2020, STARGAN FOR EMOTIONAL SPEECH CONVERSION: VALIDATED BY DATA AUGMENTATION OF END-TO-END EMOTION RECOGNITION, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Publisher: IEEE, Pages: 3502-3506, ISSN: 1520-6149
- Author Web Link
- Cite
- Citations: 27
Zhao Z, Li Q, Cummins N, et al., 2020, Hybrid Network Feature Extraction for Depression Assessment from Speech, Interspeech Conference, Publisher: ISCA-INT SPEECH COMMUNICATION ASSOC, Pages: 4956-4960, ISSN: 2308-457X
- Author Web Link
- Cite
- Citations: 15
Haque KN, Rana R, Schuller BW, 2020, High-Fidelity Audio Generation and Representation Learning With Guided Adversarial Autoencoder, IEEE ACCESS, Vol: 8, Pages: 223509-223528, ISSN: 2169-3536
- Author Web Link
- Cite
- Citations: 2
Schuller DM, Schuller BW, 2020, The Challenge of Automatic Eating Behaviour Analysis and Tracking, RECENT ADVANCES IN INTELLIGENT ASSISTIVE TECHNOLOGIES: PARADIGMS AND APPLICATIONS, Editors: Costin, Schuller, Florea, Publisher: SPRINGER INTERNATIONAL PUBLISHING AG, Pages: 187-204, ISBN: 978-3-030-30816-2
- Author Web Link
- Cite
- Citations: 6
Rizos G, Schuller BW, 2020, Average Jane, Where Art Thou? – Recent Avenues in Efficient Machine Learning Under Subjectivity Uncertainty, Information Processing and Management of Uncertainty in Knowledge-Based Systems, Publisher: Springer International Publishing, Pages: 42-55, ISBN: 9783030501457
Han J, Qian K, Song M, et al., 2020, An Early Study on Intelligent Analysis of Speech under COVID-19: Severity, Sleep Quality, Fatigue, and Anxiety, INTERSPEECH 2020, Pages: 4946-4950, ISSN: 2308-457X
- Author Web Link
- Cite
- Citations: 16
Tzirakis P, Papaioannou A, Lattas A, et al., 2020, Synthesising 3D Facial Motion from "In-the-Wild" Speech, 2020 15TH IEEE INTERNATIONAL CONFERENCE ON AUTOMATIC FACE AND GESTURE RECOGNITION (FG 2020), Pages: 265-272, ISSN: 2326-5396
- Author Web Link
- Cite
- Citations: 2
Schuller B, Paletta L, Robinson P, et al., 2019, Guest Editorial Intelligence in Serious Games, IEEE TRANSACTIONS ON GAMES, Vol: 11, Pages: 306-310, ISSN: 2475-1502
Marchi E, Schuller B, Baird A, et al., 2019, The ASC-Inclusion Perceptual Serious Gaming Platform for Autistic Children, IEEE TRANSACTIONS ON GAMES, Vol: 11, Pages: 328-339, ISSN: 2475-1502
Amiriparian S, Han J, Schmitt M, et al., 2019, Synchronization in Interpersonal Speech, FRONTIERS IN ROBOTICS AND AI, Vol: 6, ISSN: 2296-9144
- Author Web Link
- Cite
- Citations: 4
Xie Y, Liang R, Liang Z, et al., 2019, Speech Emotion Classification Using Attention-Based LSTM, IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, Vol: 27, Pages: 1675-1685, ISSN: 2329-9290
- Author Web Link
- Cite
- Citations: 132
Ringeval F, Schuller B, Valstar M, et al., 2019, AVEC 2019 workshop and challenge: State-of-mind, detecting depression with ai, and cross-cultural affect recognition, AVEC 2019 - Proceedings of the 9th International Audio/Visual Emotion Challenge and Workshop, co-located with MM 2019, Pages: 3-12
The Audio/Visual Emotion Challenge and Workshop (AVEC 2019) "State-of-Mind, Detecting Depression with AI, and Cross-cultural Affect Recognition" is the ninth competition event aimed at the comparison of multimedia processing and machine learning methods for automatic audiovisual health and emotion analysis, with all participants competing strictly under the same conditions. The goal of the Challenge is to provide a common benchmark test set for multimodal information processing and to bring together the health and emotion recognition communities, as well as the audiovisual processing communities, to compare the relative merits of various approaches to health and emotion recognition from real-life data. This paper presents the major novelties introduced this year, the challenge guidelines, the data used, and the performance of the baseline systems on the three proposed tasks: state-of-mind recognition, depression assessment with AI, and cross-cultural affect sensing, respectively.
Janott C, Schmitt M, Heiser C, et al., 2019, VOTE versus ACLTE: comparison of two snoring noise classifications using machine learning methods, HNO, Vol: 67, Pages: 670-678, ISSN: 0017-6192
- Author Web Link
- Cite
- Citations: 4
Schuller B, 2019, Responding to uncertainty in emotion recognition, JOURNAL OF INFORMATION COMMUNICATION & ETHICS IN SOCIETY, Vol: 17, Pages: 299-303, ISSN: 1477-996X
- Author Web Link
- Cite
- Citations: 4
Hantke S, Olenyi T, Hausner C, et al., 2019, Large-scale Data Collection and Analysis via a Gamified Intelligent Crowdsourcing Platform, INTERNATIONAL JOURNAL OF AUTOMATION AND COMPUTING, Vol: 16, Pages: 427-436, ISSN: 1476-8186
- Author Web Link
- Cite
- Citations: 2
Pokorny FB, Fiser M, Graf F, et al., 2019, Sound and the City: Current Perspectives on Acoustic Geo-Sensing in Urban Environment, ACTA ACUSTICA UNITED WITH ACUSTICA, Vol: 105, Pages: 766-778, ISSN: 1610-1928
- Author Web Link
- Cite
- Citations: 4
This data is extracted from the Web of Science and reproduced under a licence from Thomson Reuters. You may not copy or re-distribute this data in whole or in part without the written consent of the Science business of Thomson Reuters.