theadamsabra/LearningfromAudio
Understand of the fundamentals of digital signal processing for Machine Learning/Deep Learning applications.
This project is a learning resource for data scientists and machine learning engineers who want to analyze audio data. It takes raw audio files and through a series of Jupyter notebooks, demonstrates how to transform them into various features like spectrograms and MFCCs. The goal is to provide a foundational understanding of digital signal processing concepts directly applicable to machine learning tasks.
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Use this if you are a data scientist or machine learning practitioner looking to understand and process audio data for your models.
Not ideal if you are looking for a ready-to-use audio analysis library or a tool for music production or sound engineering.
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88
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20
Language
Jupyter Notebook
License
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Last pushed
Apr 16, 2021
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