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oom-optimization

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GrahamPellegrini / Machine-Learning-Noise-Cancellation

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Bachelor Final Year Project exploring real-time speech denoising using machine learning. Compares classical methods (SS, WF, MMSE-LSA) with 5 deep models on spectrogram data, highlighting Conv-TasNet’s effectiveness. Features dataset bucketing, OOM mitigation, and batch evaluation.

machine-learning spectrogram denoising speech-enhancement conv-tasnet spectrograms real-time-inference oom-optimization classical-vs-deep-learning
  • Updated Jul 22, 2025
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