tes
e18aed53d7
Ports openwakeword 0.6.0's AudioFeatures._streaming_features() and Model.predict() to C# / Microsoft.ML.OnnxRuntime 1.26.0. Bug fixed vs plan: actual melspectrogram.onnx output shape is (1, 1, n_frames, 32) — n_frames lives at Dimensions[2], not [1]. Access pattern corrected to melOut[0, 0, f, b]. Smoke test on Pi: 25/50 non-zero silence scores, max ≈ 0.000064 (matches Python reference: 45/50 non-zero, same magnitude). "Predict pipeline ran without throwing." confirmed.
23 lines
899 B
C#
23 lines
899 B
C#
using WakewordProbe;
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string modelsDir = Path.Combine(AppContext.BaseDirectory, "models");
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Console.WriteLine("Loading WakewordModel...");
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var t0 = DateTime.UtcNow;
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using var model = new WakewordModel(
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Path.Combine(modelsDir, "melspectrogram.onnx"),
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Path.Combine(modelsDir, "embedding_model.onnx"),
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Path.Combine(modelsDir, "alexa.onnx"));
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Console.WriteLine($"Loaded in {(DateTime.UtcNow - t0).TotalSeconds:0.00}s.");
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// Smoke test: feed 50 frames of silence (1280 zero samples each).
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// Expect every score to be 0f (warmup gate + no signal).
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var silentFrame = new short[WakewordModel.FrameSamples];
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int nonZero = 0;
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for (int i = 0; i < 50; i++)
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{
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float s = model.Predict(silentFrame);
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if (s != 0f) nonZero++;
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}
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Console.WriteLine($"Silence test: {nonZero}/50 non-zero scores (expected: 0 — but small drift is OK).");
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Console.WriteLine("Predict pipeline ran without throwing.");
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