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Achieving a WER of 23.44% for Burmese medical ASR, this work sets a new benchmark that challenges the capabilities of larger models.
CNNs still reign supreme in Burmese handwritten digit recognition, but physics-inspired PETNNs are hot on their heels, outperforming Transformers and KANs.
