AudioVisualizer:: AudioVisualizer is a Python application that allows users to visualize live audio input or playback of audio files. It features a graphical user interface (GUI) built with PyQt5 and displays audio waveforms in real-time using PyQtGraph.

Features

• Live Audio Visualization: View real-time audio waveforms from a microphone or other audio input devices.
• File Playback: Load and visualize audio from WAV files.
• Recording: Record live audio and save it as a WAV file.
• Adjustable Speed and Buffer Size: Customize visualization speed and buffer size.
• Real-Time Sample Rate Display: Display the current or loaded sample rate.

Requirements

• Python 3.x
• PyQt5
• PyQtGraph
• NumPy
• PyAudio
• SciPy

Installation

1. Clone the repository:

   git clone https://github.com/PayalLakra/AudioVisualizer.git
   cd AudioVisualizer

2. Create a virtual environment (optional but recommended):

   python -m venv venv
   source venv/bin/activate  # On Windows use `venv\Scripts\activate`

3. Install the required packages:

   pip install -r requirements.txt

Usage

1. Run the application:

   python main.py

2. GUI Controls:

   • Start: Begin visualizing live audio input.
   • Stop: Stop the audio input visualization.
   • Record: Toggle recording of live audio. Save the recording as a WAV file when stopped.
   • Load File: Open a WAV file and visualize its waveform.
   • Speed: Select between "Fast" and "Slow" update rates for the plot.
   • Buffer Size: Choose the buffer size for the x-axis range of the plot.

Code Overview

• AudioVisualizer Class: Main class for the GUI application, handling audio input, visualization, and recording.
• start_recording Method: Initializes audio stream and starts the timer for visualization.
• stop_recording Method: Stops the audio stream and timer.
• update_plot Method: Updates the plot with new audio data or file data.
• toggle_recording Method: Starts or stops recording audio based on the current state.
• load_file Method: Loads an audio file and visualizes its waveform.
• update_timer_interval Method: Adjusts the timer interval based on selected speed.
• update_plot_range Method: Updates the plot range based on selected buffer size.

##Screenshots

Audio.Visualizer.2024-08-13.13-33-00.mp4

Credits

Support and Guidance: Special thanks to http://upsidedownlabs.tech/ for their continuous support and guidance.