Introduction to Resampy

Resampy is a Python library for high-quality resampling of time-series data, often used for resampling audio signals. It provides efficient and high-quality conversion between different frequencies, along with a set of convenient APIs that make resampling tasks easier.

Getting Started with Resampy

import resampy

Below are some essential APIs and examples for using Resampy:

Resampling Audio Data

# Import necessary libraries
import resampy
import numpy as np

# Generate a sample signal
original_sr = 44100  # Original sampling rate
target_sr = 16000    # Target sampling rate
duration = 5.0       # seconds
t = np.linspace(0, duration, int(original_sr * duration), endpoint=False)
x = np.sin(2 * np.pi * 440.0 * t)  # 440Hz Sine wave

# Resample the signal
y = resampy.resample(x, original_sr, target_sr)

Choosing Different Resampling Filters

y_ff = resampy.resample(x, original_sr, target_sr, filter='kaiser_fast')
y_best = resampy.resample(x, original_sr, target_sr, filter='kaiser_best')

Working with Stereo Audio

# Create a stereo signal
x_stereo = np.vstack([x, np.cos(2 * np.pi * 440.0 * t)])

# Resample the stereo signal
y_stereo = resampy.resample(x_stereo, original_sr, target_sr, axis=1)

Handling Multichannel Audio

# Create a multichannel signal
x_multi = np.vstack([x, np.cos(2 * np.pi * 440.0 * t), np.sin(2 * np.pi * 880.0 * t)])

# Resample the multichannel signal
y_multi = resampy.resample(x_multi, original_sr, target_sr, axis=1)

Custom Filters and Advanced Usage

from scipy.signal import firwin

# Design a custom low-pass filter
custom_filter = firwin(numtaps=64, cutoff=0.4)
y_custom = resampy.resample(x, original_sr, target_sr, filter=custom_filter)

Building an Application with Resampy

Below is an example application that utilizes the resampy library to load an audio file, resample it to a specified sampling rate, and save the resampled file:

import resampy
import soundfile as sf

# Load an audio file
def load_and_resample_audio(file_path, target_sr):
    audio_data, original_sr = sf.read(file_path)
    
    # Resample the audio
    resampled_audio = resampy.resample(audio_data, original_sr, target_sr, axis=0)
    return resampled_audio, target_sr

# Save the resampled audio file
def save_audio(file_path, audio_data, sampling_rate):
    sf.write(file_path, audio_data, sampling_rate)

# Example usage
input_file = 'input_audio.wav'
output_file = 'resampled_audio.wav'

resampled_audio, sr = load_and_resample_audio(input_file, target_sr=16000)
save_audio(output_file, resampled_audio, sr)

By using Resampy, you can easily and efficiently resample audio data for various applications, ensuring high-quality audio output.

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