PyVolSuggester 0.0.4

Does audio feature extraction and suggest the feasible volumne for better feeling and experience.

✔ PyVolSuggester Package

• A Python package to provide suggestion on volume at which the music audio file needs to be played for better experience and feeling.
• In backend, it extracts various generic features for particular audio and analyze among them and provide feedback on volumne on it.
• This tools helps in maintaining goob vibes along the music playout.

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How this Script works :

• First user need to download the script and run Volume Suggester.py in the local system.
• After running it, user will be prompted to select an audio file(mp3 file) using dialog box.
• Once user has selected the audio file, following feature extraction and analysis graph will be generated at the backend.
  • Generic Audio Features:
    • Channels : (number of channels; 1 for mono, 2 for stereo audio)
    • Sample Width : (number of bytes per sample; 1 means 8-bit, 2 means 16-bit)
    • Frame Rate / Sample Rate : (frequency of samples used (in Hertz))
    • Frame Width : (Number of bytes for each “frame”. One frame contains a sample for each channel.)
    • Audio Length / Duration : (audio file length (in milliseconds))
    • Frame Count : (the number of frames from the sample)
    • Intensity : (loudness in dBFS (dB relative to the maximum possible loudness))
  • Plot on Amplitude over Time Analysis
  • Following Derived Audio Features:
    • Spectogram
    • RMS/Energy Spectogram
    • Zero Crossing Rate
    • Mel Frequency Cepstral Coefficients
    • Mel Frequency Spectogram
    • Chroma Feature
    • Tempogram
• After these feature extraction is done, user will be able to Play/Pause(using CTRL button) and Stop(using ESC button) the selected song.

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Input/Output Deliverables:

- Input: 
    - Single Audio File (.mp3)

- Output:
    - Output Folder consisting of different feature extraction

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Features:

• Implemented following features in the package:

  1. Generic Audio Features:

     • Channels : (number of channels; 1 for mono, 2 for stereo audio)
     • Sample Width : (number of bytes per sample; 1 means 8-bit, 2 means 16-bit)
     • Frame Rate / Sample Rate : (frequency of samples used (in Hertz))
     • Frame Width : (Number of bytes for each “frame”. One frame contains a sample for each channel.)
     • Audio Length / Duration : (audio file length (in milliseconds))
     • Frame Count : (the number of frames from the sample)
     • Intensity : (loudness in dBFS (dB relative to the maximum possible loudness))

  2. Derived Audio Features:

     • Amplitude over Time
     • Spectogram
     • RMS/Energy Spectogram
     • Zero Crossing Rate
     • Mel Frequency Cepstral Coefficients
     • Mel Frequency Spectogram
     • Chroma Feature
     • Tempogram

  3. Player for playing selected audio file

  4. Suggestion on volume on the basis of various feature extraction.

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Prerequisites:

• In order to use this package, one need to ensure the following requirements:
  • Python 3.7 or later installed on your machine.

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Package Usage

- from PyVolSuggester import Suggester
    - This command will install all the uninstalled required libraries used in script.
- Suggester.main()
    - This will prompt user for input of audio file selection.
- Suggester.extract()
	- This will extract the generic features of the selected audio file.
- Suggester.play_pause_stop()
	- This will allow user to play, plause and stop the audio file.
- Suggester.amplitude_wave()
	- This will generate a amplitude over time plot and save it as an image to output directory.
- Suggester.spectogram()
	- This will generate a spectogram plot and save it as an image to output directory.
- Suggester.rms_energy_spectogram()
	- This will generate a RMS/Energy Spectogram plot and save it as an image to output directory.
- Suggester.zero_crossing_rate()
	- This will generate a Zero Crossing Rate plot and save it as an image to output directory.
- Suggester.mel_frequency_cepstral_coefficients()
	- This will generate a Mel Frequency Cepstral Coefficients plot and save it as an image to output directory.
- Suggester.mel_frequency_spectogram()
	- This will generate a Mel Frequency Spectogram plot and save it as an image to output directory.
- Suggester.chroma_feature()
	- This will generate a Chroma Feature plot and save it as an image to output directory.
- Suggester.tempogram()
	- This will generate a tempogram plot and save it as an image to output directory.
- Suggester.suggest_volume()
	- This will suggest user the most feasible volume for that particular audio.

Package Installation

pip install PyVolSuggester