✔ Volume Suggester

• 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.

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📌REQUIREMENTS :

• python 3
• tkinter
• from tkinter import filedialog
• pyaudio
• time
• from pynput import keyboard
• from pydub import AudioSegment
• wave
• os
• numpy
• matplotlib.pyplot
• librosa
• mutagen
• from mutagen.wave import WAVE
• subprocess
• pathlib
• from pathlib import Path

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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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📌SCREENSHOTS :

Amplitude over Time Plot

Spectogram

RMS/Energy Spectogram

Zero Crossing Rate

Mel Frequency Cepstral Coefficients

Mel Frequency Spectogram

Chroma Feature

Tempogram

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🌟Stargazers Over Time:

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📌Contributors: