Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being
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SDG 7 Affordable and Clean Energy
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SDG 11 Sustainable Cities and Communities
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SDG 13 Climate Action
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SDG 15 Life on Land
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SDG 16 Peace, Justice and Strong Institutions
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Dive into the research topics where Björn Schuller is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Affective Dimensions in Maternal Voice During Child Feeding in Mothers With and Without Eating Disorder History—Findings From a Machine Learning Analysis of Speech Data
Throm, J. K., Milling, M., Triantafyllopoulos, A., Kathan, A., Dörsam, A. F., Löchner, J., Schuller, B. & Giel, K. E., Mar 2026, In: European Eating Disorders Review. 34, 2, p. 388-397 10 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Affine modulation-based audiogram fusion network for joint noise reduction and hearing loss compensation
Ni, Y., Liang, R., Hao, X., Cheng, J., Wang, Q., Huang, C., Zou, C., Zhou, W., Ding, W. & Schuller, B. W., Mar 2026, In: Information Fusion. 127, 103726.Research output: Contribution to journal › Article › peer-review
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BBANet: Bilateral biological auditory-inspired neural network for heart sound classification
Tan, Y., Zhang, H., Xu, J., Wu, H., Qian, K., Hu, B., Yamamoto, Y. & Schuller, B. W., 15 Jan 2026, In: Engineering Applications of Artificial Intelligence. 164, 113165.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Body sound denoising technologies: A survey and validation
Li, E., Zhang, H., Qian, K., Tian, F., Hu, B., Schuller, B. W. & Yamamoto, Y., 1 Apr 2026, In: Biomedical Signal Processing and Control. 114, 109302.Research output: Contribution to journal › Review article › peer-review
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Breaking through data scarcity: A novel diffusion model approach for snoring sound augmentation and classification
Jia, T., Zhang, H., Wu, H., Sun, Q., Jing, X., Meng, B., Shen, L., Wang, L., Qian, K., Zhang, Y., Hu, B., Schultz, T., Schuller, B. W. & Yamamoto, Y., 1 May 2026, In: Biomedical Signal Processing and Control. 116, 109449.Research output: Contribution to journal › Article › peer-review