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This Repository Consists of the Feature Engineering Process of Audio Signals in both Time Domain & Frequency Domain. In more the repository contains Jupiter-notebook implementations which uses python & librosa

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Data-Engineering-Process-of-Audio-Data

Basically we can derive audio features in both Time Domain and Frequency Domain. Here we experiment & visualize different techniques for each audio feature type using python and librosa

Time Domain Features:

1 . Time Spectrum

github

2 . Amplitude Envelope

github

3 . Zero Crossing Rate

github

4 . Root Mean Square Energy

github

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This Repository Consists of the Feature Engineering Process of Audio Signals in both Time Domain & Frequency Domain. In more the repository contains Jupiter-notebook implementations which uses python & librosa

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