AUDIO CLASSIFICATION USING DEEP LEARNING

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  1. AUDIO-ANALYSIS-WITH-LIBROSA

    This repository demonstrate how to use librosa python library on analyzing audio datasets

    You can access the full codes used for this article here.

  2. CodeRabbit

    CodeRabbit: AI Code Reviews for Developers. Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.

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  3. Pytorch

    Tensors and Dynamic neural networks in Python with strong GPU acceleration

    The second option is to train your own model using machine learning frameworks like Tensorflow and Pytorch.

  4. librosa

    Python library for audio and music analysis

    Hello! welcome once again to the continuation of the last blog post about audio analysis using the Librosa python library, if you missed this article don't worry here you can enjoy audio analysis techniques with Librosa.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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