- 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.
- 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
- 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 TimeAnalysis - Following Derived Audio Features:
SpectogramRMS/Energy SpectogramZero Crossing RateMel Frequency Cepstral CoefficientsMel Frequency SpectogramChroma FeatureTempogram
- Generic Audio Features:
- After these feature extraction is done, user will be able to Play/Pause(using CTRL button) and Stop(using ESC button) the selected song.
