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This study explores the application of convolutional neural networks in multi-channel hyperspectral imaging (HSI), extending beyond RGB channels to over 200 spectral channels, and focuses on explainable AI (XAI) methods.
Orukeet replaces half of an adapted Parakeet encoder's temporal filters with 12,288 fitted Gabor kernels, freezes these replacements, and trains the remaining parameters on multilingual and multi-accent data. Final adaptation and checkpoint selection use LibriSpeech test-other. Across 20,146 FLEURS recordings in 25 lan...
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