SPPAS Files

Overview

SPPAS is a scientific software package for the automatic annotation and analysis of speech. It is developed and maintained by Brigitte Bigi, researcher in Computer Science at the "Laboratoire Parole et Langage", in Aix-en-Provence, France.

The software is primarily utilized for the annotation, segmentation, and analysis of recordings, facilitating the study of various aspects of phonetics and linguistics.

• SPPAS main page: https://sppas.org/
• SPPAS package: https://sourceforge.net/projects/SPPAS/
• SPPAS repository: https://github.com/brigitte-bigi/sppas/
• Author home page: https://sppas.org/bigi/
• Author ORCID: https://orcid.org/0000-0003-1834-6918

How SPPAS software can be helpful?

SPPAS is designed to assist users in analyzing speech data by providing a range of tools and functionalities related to phonetics, acoustics, signal processing, video processing, etc.

Among others, SPPAS allows to automatically annotate speech data at different phonetic levels. This annotated data can then be used to segment speech into meaningful units (e.g., phonemes, syllables, words) and align it with the original speech signal. SPPAS includes statistical tools for analyzing the data and extracting relevant information from the corpus. The software also offers a manual annotation interface and supports various annotation formats. It can export annotated data in various formats for compatibility with other speech processing and statistical analysis tools.

SPPAS allows users to customize automatic annotations to their own needs and implement custom annotation solutions.

It is a research-oriented tool and may require some familiarity with speech processing concepts and techniques.

Quick Start

1. Carefully follow the installation instructions at https://sppas.org/installation.html to install Python;
2. Launch sppas.bat (Windows) or sppas.app (macOS) or sppas.sh (linux);

Cite

By using SPPAS, you agree to cite a reference in your publications.

Any publication or product resulting from the use of this software, including but not limited to academic journal and conference publications, technical reports and manuals, or software, must cite at least one reference either among the following works or among any of the references listed in the book:

Brigitte Bigi (2015). SPPAS - Multi-lingual Approaches to the Automatic Annotation of Speech. The Phonetician - International Society of Phonetic Sciences, ISSN 0741-6164, Number 111-112 / 2015-I-II, pages 54-69.

Features

SPPAS provides 24 automatic annotation and analysis solutions, facilitating the study of various aspects of phonetics and linguistics.

It is primarily used for speech segmentation: the process of taking the orthographic transcription of an audio segment (such as IPUs – Inter-Pausal Units) and determining where particular phonemes or words occur in that segment.

SPPAS is then a free and open-source speech segmentation tool designed to meet the real needs of researchers in linguistics and phonetics. Unlike most systems evaluated only through technical benchmarks, SPPAS offers a transparent, modular and fully traceable architecture. Each step—text normalization, phonetic transcription, forced alignment—is explicit, documented, and customizable. This FAIR-compliant approach (Findable, Accessible, Interoperable, Reusable) supports scientific reproducibility, adaptability, and open science practices. SPPAS challenges the limits of conventional evaluation metrics and proposes an alternative, multi-criteria framework for assessing usability, transparency, and research value.

SPPAS features can be extended in two ways:

• Plugins are extra tools that the user chooses and downloads separately. Once downloaded, SPPAS can install them and make them available. A plugin can also be removed later.
• Spin-offs are official extensions of SPPAS. They are downloaded and installed automatically by SPPAS during its setup. Spin-offs extend the system permanently and cannot be removed afterward.

In short, a plugin is an optional extra that you download yourself, and you can remove, and a spin-off is an official extension SPPAS installs for you and which stays permanently.

Help

• Tutorials, the F.A.Q. and the book are available on the website;
• Explore the 'help' folder of the SPPAS package.

Licenses

SPPAS is a Research Software distributed in the context of the "Open Science".

• SPPAS software source code is governed by AGPL version 3 or any later version;
• Help files of SPPAS are governed by GNU Free Documentation License, version 1.3;
• The demo files of SPPAS are under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International Public License;
• Both plugins, spin-offs and resources may have individual licenses — see their individual documentation.

Contribute

Send an e-mail to the author at contact@sppas.org if you intend to:

• declare an issue;
• contribute to resource creation;
• propose a plugin or a spin-off;
• help in SPPAS development. You'll then need to clone the package with git --depth=1 https://git.code.sf.net/p/sppas/code;
• collaborate on a research project.

The author of SPPAS has a visual impairment, so please keep your email concise.

sppas: The SPPAS source code

sppas is the Python package of the SPPAS software. It provides the Application Programming Interface for annotating, segmenting, and analyzing audio and video speech recordings, as well as tools for working with annotated data.

• Main Repository: https://github.com/brigitte-bigi/sppas/
• Documentation: https://brigitte-bigi.github.io/sppas/
• Development Repository: https://sourceforge.net/projects/sppas/
• License: AGPL-3.0-or-later