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audio processing

Innocent Iguana answered on February 7, 2024 Popularity 7/10 Helpfulness 5/10

answer audio processing

audio processing

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- For a dataframe of audio data:
    - each column is a sample
    - each row is a point in time/amplitude of a sample
- So when using for machine learning,
    - each column name is a label
    - each column series should be converted to a row of features (eg: mean, max, std, tempo mean, beat mean, stft mean etc)
    - you can also use percentile to get value at specific percentile and use them as features
    - NEVER SHUFFLE (time series like index will be lost)
    - Missing data should be interpolated for time series
    - Rolling window can be used along with stat functions as well for generating new features

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Contributed on Feb 07 2024

Innocent Iguana

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