b2aiprep 3.3.1

A small package to generate features from acoustic

B2AI Prep

A simple Python package to prepare acoustic data for the Bridge2AI voice project.

Caution: this package is under active development and interfaces may change rapidly.

Installation

Requires a Python >= 3.10; < 3.14 environment.

pip install b2aiprep

Common Issues

If you get the following error which has been observed on only some OSes:

terminate called after throwing an instance of 'std::bad_alloc'
  what():  std::bad_alloc
Aborted (core dumped)

A likely fix is to run pip uninstall torbi.

Usage

See commands available through the CLI:

b2aiprep-cli --help

BIDS data

This package provides conversion from a RedCap/file-based custom structure into BIDS for downstream analysis. In addition, utilities are provided for working with the BIDS-like structured data and to support data analysis of voice and questionnaire data.

See RELEASE.md for details on releasing a dataset using this package.

See the tutorial.ipynb for a few use examples of data in the BIDS format.

Output formats

The primary output structure is BIDS: nested sessions within individual specific folders.

/bids_dataset
├── README.md
├── dataset_description.json
├── sub-01/
│   ├── session-01/
│   │   └── audio/
│   │       ├── sub-01_session_task-audio.json
│   │       ├── sub-01_session_task-audio.wav
│   │       └── sub-01_session_task-audio.pt
├── sub-02/
│   ├── session-01/
│   │   └── audio/
│   │       ├── sub-02_session_task-audio.json
│   │       ├── sub-02_session_task-audio.wav
│   │       └── sub-02_session_task-audio.pt
│  ...

A bundled version of the data is published from BIDS. The bundled version of the dataset contains parquet files with features derived from the audio.