audiotsm 0.1.1

A real-time audio time-scale modification library

AudioTSM is a python library for real-time audio time-scale modification procedures, i.e. algorithms that change the speed of an audio signal without changing its pitch.

Documentation:

https://audiotsm.readthedocs.io/

Examples:

https://muges.github.io/audiotsm/

Source code repository and issue tracker:

https://github.com/Muges/audiotsm/

Python Package Index:

https://pypi.python.org/pypi/audiotsm/

License:

MIT – see the file LICENSE for details.

Installation

Audiotsm should work with python 2.7 and python 3.4+.

You can install the latest version of audiotsm with pip:

pip install audiotsm

If you want to use the gstreamer plugins, you should install PyGObject and python-gst, and use the following command to install audiotsm:

pip install audiotsm[gstreamer]

If you want to play the output of the TSM procedures in real time, or to use the examples, you should install audiotsm as follow:

pip install audiotsm[stream]

Basic usage

The audiotsm package implements several time-scale modification procedures:

• OLA (Overlap-Add), which should only be used for percussive audio signals;

• WSOLA (Waveform Similarity-based Overlap-Add), an amelioration of the OLA procedure which should give good results on most inputs.

If you are unsure which procedure to choose, the WSOLA should sound best in most cases. You can listen to the output of the different procedures on various audio files and at various speeds on the examples page.

Below is a basic example showing how to reduce the speed of a wav file by half using the WSOLA procedure:

from audiotsm import wsola
from audiotsm.io.wav import WavReader, WavWriter

with WavReader(input_filename) as reader:
    with WavWriter(output_filename, reader.channels, reader.samplerate) as writer:
        tsm = wsola(reader.channels, speed=0.5)
        tsm.run(reader, writer)

Thanks

If you are interested in time-scale modification procedures, I highly recommend reading A Review of Time-Scale Modification of Music Signals by Jonathan Driedger and Meinard Müller.