Publications
1105 results found
Han J, Zhang Z, Pantic M, et al., 2021, Internet of emotional people: Towards continual affective computing cross cultures via audiovisual signals, FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, Vol: 114, Pages: 294-306, ISSN: 0167-739X
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- Citations: 10
Schuller DM, Schuller BW, 2021, A Review on Five Recent and Near-Future Developments in Computational Processing of Emotion in the Human Voice, EMOTION REVIEW, Vol: 13, Pages: 44-50, ISSN: 1754-0739
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- Citations: 28
Aspandi D, Sukno F, Schuller B, et al., 2021, An Enhanced Adversarial Network with Combined Latent Features for Spatio-temporal Facial Affect Estimation in the Wild, 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP) / 16th International Conference on Computer Vision Theory and Applications (VISAPP), Publisher: SCITEPRESS, Pages: 172-181
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- Citations: 4
Qian K, Schuller BW, Yamamoto Y, 2021, Recent Advances in Computer Audition for Diagnosing COVID-19: An Overview, 2021 IEEE 3RD GLOBAL CONFERENCE ON LIFE SCIENCES AND TECHNOLOGIES (IEEE LIFETECH 2021), Pages: 181-182
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- Citations: 6
Li C, Zhang Q, Zhao Z, et al., 2021, Exploring Spatial-Temporal Representations for fNIRS-based Intimacy Detection via an Attention-enhanced Cascade Convolutional Recurrent Neural Network, 25th International Conference on Pattern Recognition (ICPR), Publisher: IEEE COMPUTER SOC, Pages: 8862-8869, ISSN: 1051-4651
Tzirakis P, Anh N, Zafeiriou S, et al., 2021, SPEECH EMOTION RECOGNITION USING SEMANTIC INFORMATION, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Publisher: IEEE, Pages: 6279-6283
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- Citations: 3
Haque KN, Rana R, Liu J, et al., 2021, Guided Generative Adversarial Neural Network for Representation Learning and Audio Generation Using Fewer Labelled Audio Data, IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, Vol: 29, Pages: 2575-2590, ISSN: 2329-9290
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- Citations: 2
Ren Z, Kong Q, Han J, et al., 2021, CAA-Net: Conditional Atrous CNNs With Attention for Explainable Device-Robust Acoustic Scene Classification, IEEE TRANSACTIONS ON MULTIMEDIA, Vol: 23, Pages: 4131-4142, ISSN: 1520-9210
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- Citations: 11
Ma P, Mira R, Petridis S, et al., 2021, LiRA: Learning Visual Speech Representations from Audio through Self-supervision, Interspeech Conference, Publisher: ISCA-INT SPEECH COMMUNICATION ASSOC, Pages: 3011-3015, ISSN: 2308-457X
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- Citations: 3
Li C, Chen B, Zhao Z, et al., 2021, HIERARCHICAL ATTENTION-BASED TEMPORAL CONVOLUTIONAL NETWORKS FOR EEG-BASED EMOTION RECOGNITION, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Publisher: IEEE, Pages: 1240-1244
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- Citations: 9
Ye ZJ, Schuller BW, 2021, Deep Learning Post-Earnings-Announcement Drift, International Joint Conference on Neural Networks (IJCNN), Publisher: IEEE, ISSN: 2161-4393
Zhang R, Shi Y, Schuller B, et al., 2021, User Experience for Multi-Device Ecosystems: Challenges and Opportunities, CHI Conference on Human Factors in Computing Systems, Publisher: ASSOC COMPUTING MACHINERY
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- Citations: 1
Mallol-Ragolta A, Liu S, Schuller BW, 2021, The Filtering Effect of Face Masks in their Detection from Speech, 43rd Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (IEEE EMBC), Publisher: IEEE, Pages: 2079-2082, ISSN: 1557-170X
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- Citations: 1
Koike T, Qian K, Schuller BW, et al., 2021, Transferring Cross-Corpus Knowledge: An Investigation on Data Augmentation for Heart Sound Classification, 43rd Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (IEEE EMBC), Publisher: IEEE, Pages: 1976-1979, ISSN: 1557-170X
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- Citations: 2
Chang Y, Ren Z, Schuller BW, 2021, Transformer-based CNNs: Mining Temporal Context Information for Multi-sound COVID-19 Diagnosis, 43rd Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (IEEE EMBC), Publisher: IEEE, Pages: 2335-2338, ISSN: 1557-170X
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- Citations: 5
Qian K, Koike T, Tamada K, et al., 2021, Sensing the Sounds of Silence: A Pilot Study on the Detection of Model Mice of Autism Spectrum Disorder from Ultrasonic Vocalisations, 43rd Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (IEEE EMBC), Publisher: IEEE, Pages: 68-71, ISSN: 1557-170X
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- Citations: 1
Karas V, Schuller BW, 2021, Deep Learning for Sentiment Analysis, Advances in Business Information Systems and Analytics, Publisher: IGI Global, Pages: 97-132, ISBN: 9781799842408
<jats:p>Sentiment analysis is an important area of natural language processing that can help inform business decisions by extracting sentiment information from documents. The purpose of this chapter is to introduce the reader to selected concepts and methods of deep learning and show how deep models can be used to increase performance in sentiment analysis. It discusses the latest advances in the field and covers topics including traditional sentiment analysis approaches, the fundamentals of sentence modelling, popular neural network architectures, autoencoders, attention modelling, transformers, data augmentation methods, the benefits of transfer learning, the potential of adversarial networks, and perspectives on explainable AI. The authors' intent is that through this chapter, the reader can gain an understanding of recent developments in this area as well as current trends and potentials for future research.</jats:p>
Rajamani ST, Rajamani K, Schuller BW, 2021, Towards an Efficient Deep Learning Model for Emotion and Theme Recognition in Music, 23rd IEEE International Workshop on Multimedia Signal Processing (IEEE MMSP), Publisher: IEEE, ISSN: 2163-3517
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- Citations: 2
Hecker P, Pokorny FB, Bartl-Pokorny KD, et al., 2021, Speaking Corona? Human and Machine Recognition of COVID-19 from Voice, Interspeech Conference, Publisher: ISCA-INT SPEECH COMMUNICATION ASSOC, Pages: 1029-1033, ISSN: 2308-457X
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- Citations: 1
Yan T, Meng H, Parada-Cabaleiro E, et al., 2021, Coughing-based Recognition of Covid-19 with Spatial Attentive ConvLSTM Recurrent Neural Networks, Interspeech Conference, Publisher: ISCA-INT SPEECH COMMUNICATION ASSOC, Pages: 4154-4158, ISSN: 2308-457X
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- Citations: 4
Mallol-Ragolta A, Cuesta H, Gomez E, et al., 2021, Cough-based COVID-19 Detection with Contextual Attention Convolutional Neural Networks and Gender Information, Interspeech Conference, Publisher: ISCA-INT SPEECH COMMUNICATION ASSOC, Pages: 941-945, ISSN: 2308-457X
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- Citations: 8
Karas V, Schuller BW, 2021, Recognising Covid-19 from Coughing using Ensembles of SVMs and LSTMs with Handcrafted and Deep Audio Features, Interspeech Conference, Publisher: ISCA-INT SPEECH COMMUNICATION ASSOC, Pages: 911-915, ISSN: 2308-457X
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- Citations: 5
Deshpande G, Schuller BW, 2021, The DiCOVA 2021 Challenge - An Encoder-Decoder Approach for COVID-19 Recognition from Coughing Audio, Interspeech Conference, Publisher: ISCA-INT SPEECH COMMUNICATION ASSOC, Pages: 931-935, ISSN: 2308-457X
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- Citations: 7
Bartl-Pokorny KD, Pykala M, Uluer P, et al., 2021, Robot-Based Intervention for Children With Autism Spectrum Disorder: A Systematic Literature Review, IEEE ACCESS, Vol: 9, Pages: 165433-165450, ISSN: 2169-3536
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- Citations: 10
Cheng J, Liang R, Liang Z, et al., 2021, A Deep Adaptation Network for Speech Enhancement: Combining a Relativistic Discriminator With Multi-Kernel Maximum Mean Discrepancy, IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, Vol: 29, Pages: 41-53, ISSN: 2329-9290
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- Citations: 6
Nessiem MA, Mohamed MM, Coppock H, et al., 2021, Detecting COVID-19 from Breathing and Coughing Sounds using Deep Neural Networks, 2021 IEEE 34TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS), Pages: 183-188, ISSN: 2372-9198
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- Citations: 12
Narendra NP, Schuller B, Alku P, 2021, The Detection of Parkinson's Disease From Speech Using Voice Source Information, IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, Vol: 29, Pages: 1925-1936, ISSN: 2329-9290
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- Citations: 23
Baird A, Amiriparian S, Milling M, et al., 2021, EMOTION RECOGNITION IN PUBLIC SPEAKING SCENARIOS UTILISING AN LSTM-RNN APPROACH WITH ATTENTION, IEEE Spoken Language Technology Workshop (SLT), Publisher: IEEE, Pages: 397-402, ISSN: 2639-5479
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- Citations: 7
Schuller BW, Batliner A, Bergler C, et al., 2021, The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates, INTERSPEECH 2021, Pages: 431-435, ISSN: 2308-457X
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- Citations: 27
Cummins N, Schuller BW, 2020, Five Crucial Challenges in Digital Health, FRONTIERS IN DIGITAL HEALTH, Vol: 2
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- Citations: 22
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