Join the insightful workshop on Explainable AI for Speech and Audio at ICASSP 2024. They're seeking innovative papers on explainable models, visualization, and interpretability of AI in speech and audio.
Contributions on posthoc interpretation, evaluation methods for audio classifiers, glassbox models, and applications of explanation methods are highly encouraged.
Submissions are open for IEEEXplore and Workshop tracks, with deadlines on January 20 and February 20, 2024, respectively.
Dive into the depths of neural network interpretability with the pioneering workshop on Explainable Machine Learning for Speech and Audio at ICASSP 2024.
Location : Seoul, Korea.
Categories : Machine Learning . Others
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