yw 0.0.9

Audio Layers

yw

Audio Layers

To install: pip install yw

Overview

The yw package provides a comprehensive suite of tools for audio processing and manipulation in Python. It leverages popular libraries such as numpy, librosa, soundfile, and matplotlib to offer functionalities like audio file conversion, resampling, waveform manipulation, and audio visualization.

Features

• Audio Conversion: Convert audio files to different formats and sample rates using convert_to_wav.
• Waveform Manipulation: Functions to ensure mono audio, resample audio, and manipulate waveforms with operations like adding silence.
• Audio Information Extraction: Retrieve detailed information from audio files, such as duration, sample rate, and format-specific data.
• Audio Visualization: Plot waveforms and spectrograms to visualize audio data.
• Sound Object: A Sound class that encapsulates audio data along with utility methods for easy manipulation and analysis.

Usage Examples

Converting Audio Files to WAV

Convert any audio file format supported by ffmpeg to WAV format with a specified sample rate:

from yw import convert_to_wav

convert_to_wav('input.mp3', 'output.wav', sample_rate=44100)

Extracting Audio File Information

Get detailed information from a WAV file:

from yw import sound_file_info_dict

info = sound_file_info_dict('example.wav')
print(info)

Plotting a Waveform

Visualize the waveform of an audio file:

from yw import display_sound

display_sound('path/to/audio.wav')

Working with the Sound Class

Create a Sound object from a file, manipulate it, and save the output:

from yw import Sound

sound = Sound.from_file('input.wav')
sound.resample(new_sr=22050)
sound.save_to_wav('output_resampled.wav')

Mixing Audio

Mix two audio files into one by adjusting their relative weights:

from yw import Sound

sound1 = Sound.from_file('audio1.wav')
sound2 = Sound.from_file('audio2.wav')
sound1.mix_in(sound2, weight=0.5)
sound1.save_to_wav('mixed_output.wav')

Documentation

Each function and class in the yw package comes with detailed docstrings that provide more information on their usage and parameters. Here are some key functions/classes and their purposes:

• convert_to_wav(source_file, target_file=None, sample_rate=44100): Convert an audio file to WAV format.
• sound_file_info_dict(filepath): Retrieve a dictionary containing information about the audio file.
• display_sound(filepath): Plot and play an audio file.
• Sound: A class that represents an audio signal, with methods like from_file, resample, mix_in, and save_to_wav for handling audio data.

For more detailed information, refer to the docstrings provided within the code.