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ORCIDBjörn W. Schuller
Björn Wolfgang Schuller
Person information
- affiliation: Imperial College London, GLAM, UK
- affiliation: University of Augsburg, Department of Computer Science, Germany
- affiliation (former): University of Passau, Faculty of Computer Science and Mathematics, Germany
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2020 – today
- 2023
[j241]Srividya Tirunellai Rajamani
, Kumar T. Rajamani, Ashwin Venkateshvaran, Andreas Triantafyllopoulos, Alexander Kathan, Björn W. Schuller:
Toward Detecting and Addressing Corner Cases in Deep Learning Based Medical Image Segmentation. IEEE Access 11: 95334-95345 (2023)- [j240]Jiangjian Xie, Yujie Zhong, Junguo Zhang, Changchun Zhang, Björn W. Schuller:
A weakly supervised spatial group attention network for fine-grained visual recognition. Appl. Intell. 53(20): 23301-23315 (2023) - [j239]Zhihua Wang, Kun Qian, Houguang Liu, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto:
Exploring interpretable representations for heart sound abnormality detection. Biomed. Signal Process. Control. 82: 104569 (2023) - [j238]Sebastian P. Bayerl, Maurice Gerczuk, Anton Batliner, Christian Bergler, Shahin Amiriparian, Björn W. Schuller, Elmar Nöth, Korbinian Riedhammer:
Classification of stuttering - The ComParE challenge and beyond. Comput. Speech Lang. 81: 101519 (2023) - [j237]Jingtan Li, Mengkai Sun, Zhonghao Zhao, Xingcan Li, Gaigai Li, Chen Wu, Kun Qian, Bin Hu, Yoshiharu Yamamoto, Björn W. Schuller:
Battling with the low-resource condition for snore sound recognition: introducing a meta-learning strategy. EURASIP J. Audio Speech Music. Process. 2023(1): 43 (2023) - [j236]Zhengxin Joseph Ye, Björn W. Schuller:
Human-aligned trading by imitative multi-loss reinforcement learning. Expert Syst. Appl. 234: 120939 (2023) - [j235]Mostafa M. Amin, Erik Cambria, Björn W. Schuller:
Will Affective Computing Emerge From Foundation Models and General Artificial Intelligence? A First Evaluation of ChatGPT. IEEE Intell. Syst. 38(2): 15-23 (2023) - [j234]Mostafa M. Amin, Erik Cambria, Björn W. Schuller:
Can ChatGPT's Responses Boost Traditional Natural Language Processing? IEEE Intell. Syst. 38(5): 5-11 (2023) - [j233]Andreas Triantafyllopoulos, Uwe Reichel, Shuo Liu, Stephan Huber, Florian Eyben, Björn W. Schuller:
Multistage linguistic conditioning of convolutional layers for speech emotion recognition. Frontiers Comput. Sci. 5 (2023) - [j232]Harry Coppock, Alican Akman, Christian Bergler, Maurice Gerczuk, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Apinan Hasthanasombat, Dimitris Spathis, Tong Xia, Pietro Cicuta, Jing Han, Shahin Amiriparian, Alice Baird, Lukas Stappen, Sandra Ottl, Panagiotis Tzirakis, Anton Batliner, Cecilia Mascolo, Björn W. Schuller:
A summary of the ComParE COVID-19 challenges. Frontiers Digit. Health 5 (2023) - [j231]Anton Batliner, Michael Neumann, Felix Burkhardt, Alice Baird, Sarina Meyer, Ngoc Thang Vu, Björn W. Schuller:
Ethical Awareness in Paralinguistics: A Taxonomy of Applications. Int. J. Hum. Comput. Interact. 39(9): 1904-1921 (2023) - [j230]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 Trans. Pattern Anal. Mach. Intell. 45(9): 10745-10759 (2023) - [j229]Maurice Gerczuk, Andreas Triantafyllopoulos, Shahin Amiriparian, Alexander Kathan, Jonathan Bauer, Matthias Berking, Björn W. Schuller:
Zero-shot personalization of speech foundation models for depressed mood monitoring. Patterns 4(11): 100873 (2023) - [j228]Rodrigo Mira, Eduardo Coutinho, Emilia Parada-Cabaleiro, Björn W. Schuller:
Automated composition of Galician Xota - tuning RNN-based composers for specific musical styles using deep Q-learning. PeerJ Comput. Sci. 9: e1356 (2023) - [j227]Björn W. Schuller, Matti Pietikäinen:
Affective Computing [Scanning the Issue]. Proc. IEEE 111(10): 1139-1141 (2023) - [j226]Andreas Triantafyllopoulos, Björn W. Schuller, Gökçe Iymen, Tevfik Metin Sezgin, Xiangheng He, Zijiang Yang, Panagiotis Tzirakis, Shuo Liu, Silvan Mertes, Elisabeth André, Ruibo Fu, Jianhua Tao:
An Overview of Affective Speech Synthesis and Conversion in the Deep Learning Era. Proc. IEEE 111(10): 1355-1381 (2023) - [j225]Jiaming Cheng, Ruiyu Liang, Li Zhao, Chengwei Huang, Björn W. Schuller:
Speech Denoising and Compensation for Hearing Aids Using an FTCRN-Based Metric GAN. IEEE Signal Process. Lett. 30: 374-378 (2023) - [j224]Shahin Amiriparian, Björn W. Schuller, Nabiha Asghar, Heiga Zen, Felix Burkhardt:
Guest Editorial: Special Issue on Affective Speech and Language Synthesis, Generation, and Conversion. IEEE Trans. Affect. Comput. 14(1): 3-5 (2023) - [j223]Kun Zhou, Berrak Sisman, Rajib Rana, Björn W. Schuller, Haizhou Li:
Emotion Intensity and its Control for Emotional Voice Conversion. IEEE Trans. Affect. Comput. 14(1): 31-48 (2023) - [j222]Lukas Stappen, Alice Baird, Lea Schumann, Björn W. Schuller:
The Multimodal Sentiment Analysis in Car Reviews (MuSe-CaR) Dataset: Collection, Insights and Improvements. IEEE Trans. Affect. Comput. 14(2): 1334-1350 (2023) - [j221]Maurice Gerczuk, Shahin Amiriparian, Sandra Ottl, Björn W. Schuller:
EmoNet: A Transfer Learning Framework for Multi-Corpus Speech Emotion Recognition. IEEE Trans. Affect. Comput. 14(2): 1472-1487 (2023) - [j220]Siddique Latif, Rajib Rana, Sara Khalifa, Raja Jurdak, Junaid Qadir, Björn W. Schuller:
Survey of Deep Representation Learning for Speech Emotion Recognition. IEEE Trans. Affect. Comput. 14(2): 1634-1654 (2023) - [j219]Frank Xing, Björn W. Schuller, Iti Chaturvedi, Erik Cambria, Amir Hussain:
Guest Editorial Neurosymbolic AI for Sentiment Analysis. IEEE Trans. Affect. Comput. 14(3): 1711-1715 (2023) - [j218]Siddique Latif, Rajib Rana, Sara Khalifa, Raja Jurdak, Björn W. Schuller:
Self Supervised Adversarial Domain Adaptation for Cross-Corpus and Cross-Language Speech Emotion Recognition. IEEE Trans. Affect. Comput. 14(3): 1912-1926 (2023) - [j217]Mingyue Niu, Ziping Zhao, Jianhua Tao, Ya Li, Björn W. Schuller:
Dual Attention and Element Recalibration Networks for Automatic Depression Level Prediction. IEEE Trans. Affect. Comput. 14(3): 1954-1965 (2023) - [j216]Decky Aspandi, Federico Sukno, Björn W. Schuller, Xavier Binefa:
Audio-Visual Gated-Sequenced Neural Networks for Affect Recognition. IEEE Trans. Affect. Comput. 14(3): 2193-2208 (2023) - [j215]Kun Qian, Björn W. Schuller, Xiaohong Guan, Bin Hu:
Intelligent Music Intervention for Mental Disorders: Insights and Perspectives. IEEE Trans. Comput. Soc. Syst. 10(1): 2-9 (2023) - [j214]Guihua Tian, Kun Qian, Xinyi Li, Mengkai Sun, Hao Jiang, Wanyong Qiu, Xiaoming Xie, Zhonghao Zhao, Liangqing Huang, Siyan Luo, Tianxing Guo, Ran Cai, Zhihua Wang, Björn W. Schuller:
Can a Holistic View Facilitate the Development of Intelligent Traditional Chinese Medicine? A Survey. IEEE Trans. Comput. Soc. Syst. 10(2): 700-713 (2023) - [j213]Rodrigo Mira, Konstantinos Vougioukas, Pingchuan Ma, Stavros Petridis, Björn W. Schuller, Maja Pantic:
End-to-End Video-to-Speech Synthesis Using Generative Adversarial Networks. IEEE Trans. Cybern. 53(6): 3454-3466 (2023) - [j212]Zhao Ren, Björn W. Schuller, Björn M. Eskofier, Thanh Tam Nguyen, Wolfgang Nejdl:
Guest Editorial Trustworthy and Collaborative AI for Personalised Healthcare Through Edge-of-Things. IEEE J. Biomed. Health Informatics 27(11): 5213-5215 (2023) - [c599]Gauri Deshpande, Yagna Gudipalli, Sachin Patel, Björn W. Schuller:
Applying Speech Derived Breathing Patterns to Automatically Classify Human Confidence. EUSIPCO 2023: 1335-1339 - [c598]Runze Ge, Zhihua Wang, Zhonghao Zhao, Kun Qian, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto:
An End-to-End Model for Speech-based Somatisation Disorder Detection. GCCE 2023: 603-605 - [c597]Luyu Chen, Lin Shen, Dan Yu, Zhihua Wang, Kun Qian, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto:
Multi-Track Music Generation with WGAN-GP and Attention Mechanisms. GCCE 2023: 606-607 - [c596]Minki Cho, Zhonghao Zhao, Zhihua Wang, Kun Qian, Bin Hu, Yoshiharu Yamamoto, Björn W. Schuller:
Snore Sound Recognition via an Explainable Capsule Network. GCCE 2023: 1048-1049 - [c595]Jonah Anton, Harry Coppock, Pancham Shukla, Björn W. Schuller:
Audio Barlow Twins: Self-Supervised Audio Representation Learning. ICASSP 2023: 1-5 - [c594]Felix Burkhardt, Anna Derington, Matthias Kahlau, Klaus R. Scherer, Florian Eyben, Björn W. Schuller:
Masking Speech Contents by Random Splicing: is Emotional Expression Preserved? ICASSP 2023: 1-5 - [c593]Yi Chang, Zhao Ren, Thanh Tam Nguyen, Kun Qian, Björn W. Schuller:
Knowledge Transfer for on-Device Speech Emotion Recognition With Neural Structured Learning. ICASSP 2023: 1-5 - [c592]Najla D. Al Futaisi, Alejandrina Cristià, Björn W. Schuller:
Hearttoheart: The Arts of Infant Versus Adult-Directed Speech Classification. ICASSP 2023: 1-5 - [c591]Shuo Liu, Adria Mallol-Ragolta, Björn W. Schuller:
COVID-19 Detection from Speech in Noisy Conditions. ICASSP 2023: 1-5 - [c590]Zhao Ren, Thanh Tam Nguyen, Yi Chang, Björn W. Schuller:
Fast Yet Effective Speech Emotion Recognition with Self-Distillation. ICASSP 2023: 1-5 - [c589]Georgios Rizos, Rafael A. Calvo, Björn W. Schuller:
Positive-Pair Redundancy Reduction Regularisation for Speech-Based Asthma Diagnosis Prediction. ICASSP 2023: 1-5 - [c588]Meishu Song, Andreas Triantafyllopoulos, Zijiang Yang, Hiroki Takeuchi, Toru Nakamura, Akifumi Kishi, Tetsuro Ishizawa, Kazuhiro Yoshiuchi, Xin Jing, Vincent Karas, Zhonghao Zhao, Kun Qian, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto:
Daily Mental Health Monitoring from Speech: A Real-World Japanese Dataset and Multitask Learning Analysis. ICASSP 2023: 1-5 - [c587]Panagiotis Tzirakis, Alice Baird, Jeffrey A. Brooks, Christopher Gagne, Lauren Kim, Michael Opara, Christopher B. Gregory, Jacob Metrick, Garrett Boseck, Vineet Tiruvadi, Björn W. Schuller, Dacher Keltner, Alan Cowen:
Large-Scale Nonverbal Vocalization Detection Using Transformers. ICASSP 2023: 1-5 - [c586]Xinzhou Xu, Jun Deng, Zixing Zhang, Zhen Yang, Björn W. Schuller:
Zero-Shot Speech Emotion Recognition Using Generative Learning with Reconstructed Prototypes. ICASSP 2023: 1-5 - [c585]Yongzi Yu, Wanyong Qiu, Chen Quan, Kun Qian, Zhihua Wang, Yu Ma, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto:
Federated Intelligent Terminals Facilitate Stuttering Monitoring. ICASSP 2023: 1-5 - [c584]Ziping Zhao, Huan Wang, Haishuai Wang, Björn W. Schuller:
Hierarchical Network with Decoupled Knowledge Distillation for Speech Emotion Recognition. ICASSP 2023: 1-5 - [c583]Tomoya Koike, Zhihua Wang, Kun Qian, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto:
An Investigation on Data Augmentation and Multiple Instance Learning for Diagnosis of COVID-19 from Speech and Cough Sound. ICCE-Taiwan 2023: 783-784 - [c582]Yu Ma, Yuting Huang, Kaixiang Yuan, Guangzhe Xuan, Yongzi Yu, Hengrui Zhong, Rui Li, Jian Shen, Kun Qian, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto:
Explainable Stuttering Recognition Using Axial Attention. ICIC (3) 2023: 209-220 - [c581]Arne Bruns, Anika A. Spiesberger, Andreas Triantafyllopoulos, Patric Müller, Björn W. Schuller:
"Do touch!" - 3D Scanning and Printing Technologies for the Haptic Representation of Cultural Assets: A Study with Blind Target Users. SUMAC @ ACM Multimedia 2023: 21-28 - [c580]Zheng Lian, Haiyang Sun, Licai Sun, Kang Chen, Mingyu Xu, Kexin Wang, Ke Xu, Yu He, Ying Li, Jinming Zhao, Ye Liu, Bin Liu, Jiangyan Yi, Meng Wang, Erik Cambria, Guoying Zhao, Björn W. Schuller, Jianhua Tao:
MER 2023: Multi-label Learning, Modality Robustness, and Semi-Supervised Learning. ACM Multimedia 2023: 9610-9614 - [c579]Björn W. Schuller, Anton Batliner, Shahin Amiriparian, Alexander Barnhill, Maurice Gerczuk, Andreas Triantafyllopoulos, Alice E. Baird, Panagiotis Tzirakis, Chris Gagne, Alan S. Cowen, Nikola Lackovic, Marie-José Caraty, Claude Montacié:
The ACM Multimedia 2023 Computational Paralinguistics Challenge: Emotion Share & Requests. ACM Multimedia 2023: 9635-9639 - [c578]Zheng Lian, Erik Cambria, Guoying Zhao, Björn W. Schuller, Jianhua Tao:
MRAC'23: 1st International Workshop on Multimodal and Responsible Affective Computing. ACM Multimedia 2023: 9713-9714 - [c577]Shahin Amiriparian, Lukas Christ, Andreas König, Alan Cowen, Eva-Maria Meßner, Erik Cambria, Björn W. Schuller:
MuSe 2023 Challenge: Multimodal Prediction of Mimicked Emotions, Cross-Cultural Humour, and Personalised Recognition of Affects. ACM Multimedia 2023: 9723-9725 - [c576]Alexander Kathan, Shahin Amiriparian, Alexander Gebhard, Andreas Triantafyllopoulos, Maurice Gerczuk, Björn W. Schuller:
Personalised Speech-Based Heart Rate Categorisation Using Weighted-Instance Learning. MMSports@MM 2023: 9-13 - [c575]Lukas Christ, Shahin Amiriparian, Alice Baird, Alexander Kathan, Niklas Müller, Steffen Klug, Chris Gagne, Panagiotis Tzirakis, Lukas Stappen, Eva-Maria Meßner, Andreas König, Alan Cowen, Erik Cambria, Björn W. Schuller:
The MuSe 2023 Multimodal Sentiment Analysis Challenge: Mimicked Emotions, Cross-Cultural Humour, and Personalisation. MuSe@ACM Multimedia 2023: 1-10 - [c574]Gauri Deshpande, Björn W. Schuller, Pallavi Deshpande, Anuradha Rajiv Joshi, S. K. Oza, Sachin Patel:
Analysing Breathing Patterns in Reading and Spontaneous Speech. SPECOM (2) 2023: 3-17 - [e23]Shahin Amiriparian, Lukas Christ, Andreas König, Alan Cowen, Eva-Maria Meßner, Erik Cambria, Björn W. Schuller:
Proceedings of the 4th on Multimodal Sentiment Analysis Challenge and Workshop: Mimicked Emotions, Humour and Personalisation, MuSe 2023, Ottawa, ON, Canada, 2 November 2023. ACM 2023 [contents] - [d2]Manuel Milling, Michelle Lienhart, Yuliia Oksymets, Alexander Gebhard, Manuel Brugger, Christoph Westerhausen, Björn W. Schuller:
NeuroCellCentreDB. Zenodo, 2023
- [i180]Björn W. Schuller, Shahin Amiriparian, Anton Batliner, Alexander Gebhard, Maurice Gerczuk, Vincent Karas, Alexander Kathan, Lennart Seizer, Johanna Löchner:
Computational Charisma - A Brick by Brick Blueprint for Building Charismatic Artificial Intelligence. CoRR abs/2301.00142 (2023) - [i179]Zhao Ren, Yi Chang, Thanh Tam Nguyen, Yang Tan, Kun Qian, Björn W. Schuller:
A Comprehensive Survey on Heart Sound Analysis in the Deep Learning Era. CoRR abs/2301.09362 (2023) - [i178]Andreas Triantafyllopoulos, Alexander Kathan, Alice Baird, Lukas Christ, Alexander Gebhard, Maurice Gerczuk, Vincent Karas, Tobias Hübner, Xin Jing, Shuo Liu, Adria Mallol-Ragolta, Manuel Milling, Sandra Ottl, Anastasia Semertzidou, Srividya Tirunellai Rajamani, Tianhao Yan, Zijiang Yang, Judith Dineley, Shahin Amiriparian, Katrin D. Bartl-Pokorny, Anton Batliner, Florian B. Pokorny, Björn W. Schuller:
HEAR4Health: A blueprint for making computer audition a staple of modern healthcare. CoRR abs/2301.10477 (2023) - [i177]Hagen Wierstorf, Johannes Wagner, Florian Eyben, Felix Burkhardt, Björn W. Schuller:
audb - Sharing and Versioning of Audio and Annotation Data in Python. CoRR abs/2303.00645 (2023) - [i176]Mostafa M. Amin, Erik Cambria, Björn W. Schuller:
Will Affective Computing Emerge from Foundation Models and General AI? A First Evaluation on ChatGPT. CoRR abs/2303.03186 (2023) - [i175]Ziping Zhao, Huan Wang, Haishuai Wang, Björn W. Schuller:
hierarchical network with decoupled knowledge distillation for speech emotion recognition. CoRR abs/2303.05134 (2023) - [i174]Zheng Lian, Haiyang Sun, Licai Sun, Jinming Zhao, Ye Liu, Bin Liu, Jiangyan Yi, Meng Wang, Erik Cambria, Guoying Zhao, Björn W. Schuller, Jianhua Tao:
MER 2023: Multi-label Learning, Modality Robustness, and Semi-Supervised Learning. CoRR abs/2304.08981 (2023) - [i173]Björn W. Schuller, Anton Batliner, Shahin Amiriparian, Alexander Barnhill, Maurice Gerczuk, Andreas Triantafyllopoulos, Alice Baird, Panagiotis Tzirakis, Chris Gagne, Alan S. Cowen, Nikola Lackovic, Marie-José Caraty, Claude Montacié:
The ACM Multimedia 2023 Computational Paralinguistics Challenge: Emotion Share & Requests. CoRR abs/2304.14882 (2023) - [i172]Lukas Christ, Shahin Amiriparian, Alice Baird, Alexander Kathan, Niklas Müller, Steffen Klug, Chris Gagne, Panagiotis Tzirakis, Eva-Maria Meßner, Andreas König, Alan Cowen, Erik Cambria, Björn W. Schuller:
The MuSe 2023 Multimodal Sentiment Analysis Challenge: Mimicked Emotions, Cross-Cultural Humour, and Personalisation. CoRR abs/2305.03369 (2023) - [i171]Ibrahim Malik, Siddique Latif, Raja Jurdak, Björn W. Schuller:
A Preliminary Study on Augmenting Speech Emotion Recognition using a Diffusion Model. CoRR abs/2305.11413 (2023) - [i170]Xin Jing, Yi Chang, Zijiang Yang, Jiangjian Xie, Andreas Triantafyllopoulos, Björn W. Schuller:
U-DiT TTS: U-Diffusion Vision Transformer for Text-to-Speech. CoRR abs/2305.13195 (2023) - [i169]Aljoscha Düsterhöft, Felix Burkhardt, Björn W. Schuller:
Happy or Evil Laughter? Analysing a Database of Natural Audio Samples. CoRR abs/2305.14023 (2023) - [i168]Thejan Rajapakshe, Rajib Rana, Sara Khalifa, Berrak Sisman, Björn W. Schuller:
Improving Speech Emotion Recognition Performance using Differentiable Architecture Search. CoRR abs/2305.14402 (2023) - [i167]Lukas Stappen, Jeremy Dillmann, Serena Striegel, Hans-Jörg Vögel, Nicolas Flores-Herr, Björn W. Schuller:
Integrating Generative Artificial Intelligence in Intelligent Vehicle Systems. CoRR abs/2305.17137 (2023) - [i166]Felix Burkhardt, Johannes Wagner, Hagen Wierstorf, Florian Eyben, Björn W. Schuller:
Speech-based Age and Gender Prediction with Transformers. CoRR abs/2306.16962 (2023) - [i165]Felix Burkhardt, Uwe Reichel, Florian Eyben, Björn W. Schuller:
Going Retro: Astonishingly Simple Yet Effective Rule-based Prosody Modelling for Speech Synthesis Simulating Emotion Dimensions. CoRR abs/2307.02132 (2023) - [i164]Mostafa M. Amin, Erik Cambria, Björn W. Schuller:
Can ChatGPT's Responses Boost Traditional Natural Language Processing? CoRR abs/2307.04648 (2023) - [i163]Siddique Latif, Muhammad Usama, Mohammad Ibrahim Malik, Björn W. Schuller:
Can Large Language Models Aid in Annotating Speech Emotional Data? Uncovering New Frontiers. CoRR abs/2307.06090 (2023) - [i162]Zixing Zhang, Liyizhe Peng, Tao Pang, Jing Han, Huan Zhao, Björn W. Schuller:
Refashioning Emotion Recognition Modelling: The Advent of Generalised Large Models. CoRR abs/2308.11578 (2023) - [i161]Yuezhou Zhang, Amos A. Folarin, Judith Dineley, Pauline Conde, Valeria de Angel, Shaoxiong Sun, Yatharth Ranjan, Zulqarnain Rashid, Callum L. Stewart, Petroula Laiou, Heet Sankesara, Linglong Qian, Faith Matcham, Katie M. White, Carolin Oetzmann, Femke Lamers, Sara Siddi, Sara Simblett, Björn W. Schuller, Srinivasan Vairavan, Til Wykes, Josep Maria Haro, Brenda W. J. H. Penninx, Vaibhav A. Narayan, Matthew Hotopf, Richard J. B. Dobson, Nicholas Cummins, RADAR-CNS Consortium:
Identifying depression-related topics in smartphone-collected free-response speech recordings using an automatic speech recognition system and a deep learning topic model. CoRR abs/2308.11773 (2023) - [i160]Siddique Latif, Moazzam Shoukat, Fahad Shamshad, Muhammad Usama, Heriberto Cuayáhuitl, Björn W. Schuller:
Sparks of Large Audio Models: A Survey and Outlook. CoRR abs/2308.12792 (2023) - [i159]Mostafa M. Amin, Rui Mao, Erik Cambria, Björn W. Schuller:
A Wide Evaluation of ChatGPT on Affective Computing Tasks. CoRR abs/2308.13911 (2023) - [i158]Alexander Gebhard, Andreas Triantafyllopoulos, Teresa Bez, Lukas Christ, Alexander Kathan, Björn W. Schuller:
Exploring Meta Information for Audio-based Zero-shot Bird Classification. CoRR abs/2309.08398 (2023) - [i157]Xiangheng He, Junjie Chen, Björn W. Schuller:
Task Selection and Assignment for Multi-modal Multi-task Dialogue Act Classification with Non-stationary Multi-armed Bandits. CoRR abs/2309.09832 (2023) - [i156]Chia-Hsin Lin, Charles Jones, Björn W. Schuller, Harry Coppock:
Synthia's Melody: A Benchmark Framework for Unsupervised Domain Adaptation in Audio. CoRR abs/2309.15024 (2023) - [i155]Manuel Milling, Andreas Triantafyllopoulos, Iosif Tsangko, Simon David Noel Rampp, Björn Wolfgang Schuller:
Bringing the Discussion of Minima Sharpness to the Audio Domain: a Filter-Normalised Evaluation for Acoustic Scene Classification. CoRR abs/2309.16369 (2023) - [i154]Liyizhe Peng, Zixing Zhang, Tao Pang, Jing Han, Huan Zhao, Hao Chen, Björn W. Schuller:
Customising General Large Language Models for Specialised Emotion Recognition Tasks. CoRR abs/2310.14225 (2023) - 2022
- [j211]Josef Schmid, Alfred Höß, Björn W. Schuller:
A Survey on Client Throughput Prediction Algorithms in Wired and Wireless Networks. ACM Comput. Surv. 54(9): 194:1-194:33 (2022) - [j210]Johanna Löchner, Björn W. Schuller:
Child and Youth Affective Computing - Challenge Accepted. IEEE Intell. Syst. 37(6): 69-76 (2022) - [j209]Iulia Lefter, Alice Baird, Lukas Stappen, Björn W. Schuller:
A Cross-Corpus Speech-Based Analysis of Escalating Negative Interactions. Frontiers Comput. Sci. 4: 749804 (2022) - [j208]Adria Mallol-Ragolta, Anastasia Semertzidou, Maria Pateraki, Björn W. Schuller:
Outer Product-Based Fusion of Smartwatch Sensor Data for Human Activity Recognition. Frontiers Comput. Sci. 4: 796866 (2022) - [j207]Manuel Milling, Alice Baird, Katrin D. Bartl-Pokorny, Shuo Liu, Alyssa M. Alcorn, Jie Shen, Teresa Tavassoli, Eloise Ainger, Elizabeth Pellicano, Maja Pantic, Nicholas Cummins, Björn W. Schuller:
Evaluating the Impact of Voice Activity Detection on Speech Emotion Recognition for Autistic Children. Frontiers Comput. Sci. 4 (2022) - [j206]Lukas Stappen, Alice Baird, Michelle Lienhart, Annalena Bätz, Björn W. Schuller:
An Estimation of Online Video User Engagement From Features of Time- and Value-Continuous, Dimensional Emotions. Frontiers Comput. Sci. 4: 773154 (2022) - [j205]Alican Akman, Harry Coppock, Alexander Gaskell, Panagiotis Tzirakis, Lyn Jones, Björn W. Schuller:
Evaluating the COVID-19 Identification ResNet (CIdeR) on the INTERSPEECH COVID-19 From Audio Challenges. Frontiers Digit. Health 4 (2022) - [j204]Pascal Hecker, Nico Steckhan, Florian Eyben, Björn W. Schuller, Bert Arnrich:
Voice Analysis for Neurological Disorder Recognition-A Systematic Review and Perspective on Emerging Trends. Frontiers Digit. Health 4 (2022) - [j203]Alexander Kathan, Mathias Harrer, Ludwig Küster, Andreas Triantafyllopoulos, Xiangheng He, Manuel Milling, Maurice Gerczuk, Tianhao Yan, Srividya Tirunellai Rajamani, Elena Heber, Inga Grossmann, David D. Ebert, Björn W. Schuller:
Personalised depression forecasting using mobile sensor data and ecological momentary assessment. Frontiers Digit. Health 4 (2022) - [j202]Manuel Milling, Florian B. Pokorny, Katrin D. Bartl-Pokorny, Björn W. Schuller:
Is Speech the New Blood? Recent Progress in AI-Based Disease Detection From Audio in a Nutshell. Frontiers Digit. Health 4: 886615 (2022) - [j201]Yash Mehta, Clemens Stachl, Konstantin Markov, Joseph T. Yun, Björn W. Schuller:
Future-generation personality prediction from digital footprints. Future Gener. Comput. Syst. 136: 322-325 (2022) - [j200]Shahin Amiriparian, Tobias Hübner, Vincent Karas, Maurice Gerczuk, Sandra Ottl, Björn W. Schuller:
DeepSpectrumLite: A Power-Efficient Transfer Learning Framework for Embedded Speech and Audio Processing From Decentralized Data. Frontiers Artif. Intell. 5: 856232 (2022) - [j199]Emilia Parada-Cabaleiro, Anton Batliner, Alice Baird, Björn W. Schuller:
Correction to: The perception of emotional cues by children in artificial background noise. Int. J. Speech Technol. 25(1): 289 (2022) - [j198]Björn W. Schuller, Yonina C. Eldar, Maja Pantic, Shrikanth Narayanan, Tuomas Virtanen, Jianhua Tao:
Editorial: Intelligent Signal Analysis for Contagious Virus Diseases. IEEE J. Sel. Top. Signal Process. 16(2): 159-163 (2022) - [j197]Liang Zhang, Johann Li, Ping Li, Xiaoyuan Lu, Maoguo Gong, Peiyi Shen, Guangming Zhu, Syed Afaq Ali Shah, Mohammed Bennamoun, Kun Qian, Björn W. Schuller:
MEDAS: an open-source platform as a service to help break the walls between medicine and informatics. Neural Comput. Appl. 34(8): 6547-6567 (2022) - [j196]Sicheng Zhao, Xingxu Yao, Jufeng Yang, Guoli Jia, Guiguang Ding, Tat-Seng Chua, Björn W. Schuller, Kurt Keutzer:
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