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machine-learning-signals

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Christian-Stefan / Audio-Source-Localization-and-Isolation-using-CNN

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A machine learning project utilizing a 1D CNN to simultaneously locate up to three acoustic sources. Features advanced signal processing techniques like Permutation Invariant Training (PIT) to stabilize learning, alongside a detailed analysis of how sampling rates and volume affect accuracy.

torch permutation convolutional-neural-network sound-sources torchaudio torchvision sound-source-localization quantization-error quantization-algorithm permutation-invariant sound-source-separation permutation-invariance sound-source-tracking machine-learning-signals
  • Updated Aug 15, 2026
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