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Adaptive Compression for Green Speech AI by maif.flannels636 is a document available to read on EtoBox.

What is Adaptive Compression for Green Speech AI about?

This paper presents an adaptive compression method for supervised and self-supervised models in speech recognition, focusing on reducing model size while maintaining performance. The approach customizes compression techniques like pruning and quantization based on the individual characteristics of model layers, guided by fuzzy logic. Experiments demonstrate a significant reduction in memory footprint (up to 85%) with only slight performance degradation, highlighting the method

Author

maif.flannels636

Language

EN