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Explore machine learning techniques for audio data modeling in this 47-minute conference talk from Data Science Conference Europe 2022, where speakers Paul Tiwald and Alin Kalam delve into audio source separation applications. Gain insights into the importance of synthetic data for achieving AI fairness and explainability through detailed technical discussions presented at the in-person event in Belgrade.
Syllabus
Why Synthetic Data is needed for AI Fairness and Explainability | P.Tiwald&A.Kalam | DSC Europe 2022
Taught by
Data Science Conference