Björn W. Schuller
5 أوراق في مجموعة PaperMetrix
أوراق هذا المؤلف
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A Generic Human–Machine Annotation Framework Based on Dynamic Cooperative Learning
2019 · IEEE Transactions on Cybernetics
The task of obtaining meaningful annotations is a tedious work, incurring considerable costs and time consumption. Dynamic active learning and cooperative learning are recently proposed approaches to reduce human effort of annotating data with subjective …
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The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates
2021 · arXiv (Cornell University)
The INTERSPEECH 2021 Computational Paralinguistics Challenge addresses four different problems for the first time in a research competition under well-defined conditions: In the COVID-19 Cough and COVID-19 Speech Sub-Challenges, a binary classification on COVID-19 infection …
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HAFFormer: A Hierarchical Attention-Free Framework for Alzheimer’s Disease Detection From Spontaneous Speech
2024
Automatically detecting Alzheimer’s Disease (AD) from spontaneous speech plays an important role in its early diagnosis. Recent approaches highly rely on the Transformer architectures due to its efficiency in modelling long-range context dependencies. However, the …
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Explainable Artificial Intelligence for Medical Applications: A Review
2024 · arXiv (Cornell University)
The continuous development of artificial intelligence (AI) theory has propelled this field to unprecedented heights, owing to the relentless efforts of scholars and researchers. In the medical realm, AI takes a pivotal role, leveraging robust …
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GNCL: A Graph Neural Network with Consistency Loss for Segment-Level Spoofed Speech Detection
2025
Segment-level spoofed speech detection focuses on recognizing fake or synthetic segments within identifying partially spoofed speech. Nevertheless, existing models for this segment-level task usually overlook latent local relationships between fake and bona fide segments, and …