ipyaudioworklet 0.3.0

A Jupyter Widget for Web Audio Recording using Audio Worklet

ipyaudioworklet

A Jupyter Widget for Web Audio Recording using Audio Worklet

This extension will be enable us to record PCM audio using AudioWorkletNode of Web Audio API. For the security constraints of major web-browsers, you need to run JupyterLab with HTTPS context.

Installation

You can install using pip:

Prebuild

pip install -U ipyaudioworklet

or, you may find some prebuilt packages in GitHub releases. Eg.

pip install -U https://github.com/naoh16/ipyaudioworklet/releases/download/v0.1.3/ipyaudioworklet-0.1.3-py3-none-any.whl

Self-build from master branch

pip install git+https://github.com/naoh16/ipyaudioworklet.git

Usage

quickstart

• You can see the interface as following cell:

  import ipyaudioworklet as ipyaudio
  
  ipyaudio.AudioRecorder()
  

• Then you can find three buttons in the widget.

  • Boot RECORDER
    • As first, you need to push the button to boot up the recorder.
    • Please allow your web browser access to your PC's microphone.
  • Record
    • You can record audio.
  • Stop
    • You can stop the recording.
  • audio control (HTML5's <audio>)
    • You can preview the recroded sound.
    • You may download the sound as WAV file through option menu of the control. (depend on your web browser)

Examples

See examples: examples/introduction.ipynb

You can try them on Binder:

For developers and Audio/Sound reserchers!!

Please check the following files. They are the core modules of this extension.

• JupyterLab/ipywidgets interface
  • src/widgets.ts ... Frontend of the widget
  • ipyaudioworklet/audio.py ... Backend of the widget
• Audio Recording
  • src/audio.ts ... Utility functions using Web Audio API
  • src/_static/audio-processor.js ... AudioWorkletNode definition. This node is ping pong the recording audio fragments to the callback function defined in audio.ts.

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TODO: The following lines are not modified from cookie-cutter templates.

Miscs

If you are using Jupyter Notebook 5.2 or earlier, you may also need to enable the nbextension:

jupyter nbextension enable --py [--sys-prefix|--user|--system] ipyaudioworklet

Development Installation

Create a dev environment:

conda create -n ipyaudioworklet-dev -c conda-forge nodejs yarn python jupyterlab
conda activate ipyaudioworklet-dev

Install the python. This will also build the TS package.

pip install -e ".[test, examples]"

When developing your extensions, you need to manually enable your extensions with the notebook / lab frontend. For lab, this is done by the command:

jupyter labextension develop --overwrite .
yarn run build

For classic notebook, you need to run:

jupyter nbextension install --sys-prefix --symlink --overwrite --py ipyaudioworklet
jupyter nbextension enable --sys-prefix --py ipyaudioworklet

Note that the --symlink flag doesn't work on Windows, so you will here have to run the install command every time that you rebuild your extension. For certain installations you might also need another flag instead of --sys-prefix, but we won't cover the meaning of those flags here.

How to see your changes

Typescript:

If you use JupyterLab to develop then you can watch the source directory and run JupyterLab at the same time in different terminals to watch for changes in the extension's source and automatically rebuild the widget.

# Watch the source directory in one terminal, automatically rebuilding when needed
yarn run watch
# Run JupyterLab in another terminal
jupyter lab

After a change wait for the build to finish and then refresh your browser and the changes should take effect.

Python:

If you make a change to the python code then you will need to restart the notebook kernel to have it take effect.

Updating the version

To update the version, install tbump and use it to bump the version. By default it will also create a tag.

pip install tbump
tbump <new-version>