2024
INTERSPEECH
INTERSPEECH 2024
Towards Responsible Speech Processing
Abstract
Responsible AI may not be a consensuous concept and the list of the so called pillars may not be uniquely defined either. Nonetheless, their message is clear and urgent. In this talk, I’ll address some of the pillars of responsible speech processing, focusing on privacy, explainability (namely for health applications), fairness/inclusion and sustainability. Rather than attempting a comprehensive survey of all the efforts in these directions, I will present my own perspective of how these pillars should inform the next generation of speech research.
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Robotics, Security & Privacy, Speech & Audio