Code Monkey home page Code Monkey logo

pyvolsuggester-executable's Introduction

✔ 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.

PyVolSuggester .exe

GitHub Repo stars GitHub Repo forks GitHub Repo watchers GitHub contributors

GitHub language count GitHub top language GitHub repo file count GitHub repo size

GitHub issues GitHub closed issues GitHub pull requests GitHub closed pull requests

GitHub commit activity GitHub commit activity/year GitHub commit activity/month GitHub commit activity/week GitHub last commit GitHub Discussions

Github

image


📌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

📌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.

📌SCREENSHOTS :

image

Amplitude over Time Plot

image

Spectogram

image

RMS/Energy Spectogram

image

Zero Crossing Rate

image

Mel Frequency Cepstral Coefficients

image

Mel Frequency Spectogram

image

Chroma Feature

image

Tempogram

image


🌟Stargazers Over Time:

Stargazers over time


📌Contributors:

pyvolsuggester-executable's People

Contributors

akash-rajak avatar

Stargazers

 avatar

Watchers

 avatar

pyvolsuggester-executable's Issues

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.