Fine-tuning YAMNet on Speech Commands yields 95.28% validation accuracy, about 0.9 points above the MATLAB baseline it was derived from, but with no independent test set and no code.
Chen, A hidden markov optimization model for processing and recognition of english speech feature signals, Journal of Intelligent Systems 31 (1) (2022) 716–725
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Improving Pretrained YAMNet for Enhanced Speech Command Detection via Transfer Learning
Fine-tuning YAMNet on Speech Commands yields 95.28% validation accuracy, about 0.9 points above the MATLAB baseline it was derived from, but with no independent test set and no code.