Audio Optimizer

A Python library for optimizing audio processing parameters using differential evolution. This library is particularly useful for improving audio processing pipelines by fine-tuning parameters of noise reduction techniques.

Features

• Automatically optimize audio processing parameters with Differential Evolution.
• Seamlessly integrates with the noisereduce library for noise reduction.
• Handles audio file loading, processing, and evaluation with librosa.
• Computes Mean Squared Error (MSE) as the optimization loss function.
• Easily customizable bounds for optimization parameters.

Usage

from audio_optimizer.core import optimize_parameters

Input audio paths

input_audio_path = "input_audio.wav" target_audio_path = "target_audio.wav"

Optimize parameters

best_params, loss = optimize_parameters(input_audio_path, target_audio_path, epochs=50, popsize=15)

print("Best Parameters:", best_params) print("Final Loss:", loss)

Installation

Install the library using pip:

pip install audio-optimizer