spatialaudio/data-driven-audio-signal-processing-lecture
Supplementary materials to the lecture data driven audio signal processing
This project provides educational materials for a master's course in data-driven audio signal processing. It offers Jupyter notebooks containing examples and explanations related to how data methods can be applied to audio signals. It's designed for students, educators, or researchers in acoustics, electrical engineering, or computer science who want to learn or teach advanced audio signal processing concepts.
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Use this if you are a master's student, lecturer, or researcher looking for open educational resources to understand or teach data-driven approaches in audio signal processing.
Not ideal if you are looking for a plug-and-play software tool for immediate audio analysis rather than learning or teaching the underlying concepts.
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31
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8
Language
Jupyter Notebook
License
MIT
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Last pushed
Oct 11, 2024
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