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James Pine
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The previous approach of patching librosa.load didn't work because melspectrogram itself performs float64 math (numpy dot, signal.lfilter) regardless of input dtype. The actual mismatch happens when pack() creates a float64 tensor from the mel arrays and passes it into the float32 LSTM weights in VoiceEncoder.forward(). Fix by monkey-patching VoiceEncoder.forward() to call mels.float() before the LSTM, ensuring the input always matches the model dtype.