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✔ PyVolSuggester Executable

Python tool 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.

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.