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B. W. Schuller
Observed names:
Björn Schuller,
Schuller, Björn
Institutions:
TUM Klinikum,
Imperial College London,
Technical University of Munich
Observed institutions:
TUM Klinikum,
Imperial College London,
Technical University of Munich
OpenAlex ID:
A5086950191
KI 2016: Advances in Artificial Intelligence
2016
·
Abdic, Irman
, Fridman, Lex
, et al.
·
Lecture notes in computer science
·
10
A Ranking-based Emotion Annotation Scheme and Real-life Speech Database
2013
·
Han, Wenjing
, Li, Haifeng
, et al.
·
mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich)
·
3
A New Transformer-Based Approach for Audio-Based Kinship Verification and a New Uncontrolled Mandarin Kinship Speech Dataset
2026
·
Sun, Qiyang
, Zhang, Langqing
, et al.
·
arXiv (Cornell University)
PDF
Towards Speech Impairment Prediction in German-Speaking Individuals with Amyotrophic Lateral Sclerosis
2026
·
Gonzalez-Machorro, Monica
, von Heynitz, Ricarda
, et al.
·
arXiv (Cornell University)
PDF
Enhancing Efficiency and Performance in Deepfake Audio Detection through Neuron-level Dropin & Neuroplasticity Mechanisms
2026
·
Yupei Li
, Shuaijie Shao
, et al.
·
International Joint Conference on Neural Networks (IJCNN)
PDF
Position Paper: Neurotransmitters as a Missing Dimension in Artificial Neural Networks
2026
·
Yupei Li
, Manuel Milling
, et al.
·
International Joint Conference on Neural Networks (IJCNN)
PDF
Final report of the DFG-funded project "Paralinguistic Speech Characteristics in Major Depression (ParaSpeChaD)"
2026
·
Berking, Matthias
, Schuller, Björn
, et al.
Neuron-Level Emotion Control in Speech-Generative Large Audio-Language Models
2026
·
Zhao, Xiutian
, Ulgen, Ismail Rasim
, et al.
·
arXiv (Cornell University)
PDF
CueNet: Robust Audio-Visual Speaker Extraction through Cross-Modal Cue Mining and Interaction
2026
·
Wang, Jiadong
, Zhang, Ke
, et al.
·
arXiv (Cornell University)
PDF
The UK COVID-19 Vocal Audio Dataset
2023
·
Coppock, Harry
, The Alan Turing Institute
, et al.
·
Nottingham ePrints (University of Nottingham)
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Works count:
11
Citation count:
13
H-index:
2
I10-index:
1
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