feat: add SpeechNet (SilentWear) exporter — infer + train#22
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Add SpeechNet EMG silent speech recognition model (14 channels, 700 time samples, 9 classes, ~15K params) from SilentWear project. - SpeechNetDeploy: deployment-ready variant with AvgPool (not MaxPool), no Dropout, static reshape (no dynamic Shape/Flatten ops in ONNX) - SpeechNetExporter: inference + training ONNX export with full/ last_layer/custom training strategies - Tests: inference export, ORT compatibility, training export, NPZ layout verification, trainable param strategies - Clean ONNX graph: 0 dynamic ops (Shape/Flatten/Expand) Verified: untiled + tiled Deeploy training PASS on Siracusa GVSoC (4/4 loss exact match, 22 trainable params, all 5 blocks). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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Add SpeechNet EMG silent speech recognition model exporter (14ch x 700 samples, 9 classes, ~15K params).
Verified: untiled + tiled Deeploy training PASS on Siracusa GVSoC.