Audio Processing Tool

This tool processes audio files to remove background noise and improve audio quality. It utilizes the noisereduce library for noise reduction and applies a low-pass filter for enhanced clarity.

Features

• Background Noise Removal: Reduces unwanted background noise while preserving dialogue.
• Low-Pass Filtering: Applies a low-pass filter to eliminate high-frequency noise.
• Audio Normalization: Normalizes the audio for improved clarity.

Requirements

• Python 3.x
• numpy
• scipy
• noisereduce

You can install the required libraries using pip:

pip install numpy scipy noisereduce

Usage

1. Place your input audio file in the same directory as this script.
2. Update the input_audio_file variable with the name of your audio file (e.g., Vasool-Raja.wav).
3. Run the script. The processed audio will be saved as output_cleaned_audio1.wav.

# Define file paths
input_audio_file = 'Vasool-Raja.wav'  # Input file path
output_audio_file = 'output_cleaned_audio1.wav'  # Output file path

# Run the audio processing pipeline
process_audio(input_audio_file, output_audio_file)

Conclusion

This audio processing tool effectively enhances audio quality by removing background noise, applying low-pass filtering, and normalizing volume levels. It is particularly useful for improving clarity in dialogue recordings, making it an excellent choice for podcasts, interviews, and other audio projects.