Download Latest Version SPPAS-4.26-2025-06-25.zip (169.5 MB)
Email in envelope

Get an email when there's a new version of SPPAS

Home
Name Modified Size InfoDownloads / Week
SPPAS-4.26-2025-06-25.zip 2025-06-25 169.5 MB
README.md 2025-06-24 5.4 kB
SPPAS-4.25-2025-03-31.zip 2025-04-01 169.9 MB
SPPAS-4.25-2025-03-30.zip 2025-03-30 214.7 MB
SPPAS-4.24-2025-02-24.zip 2025-02-24 182.0 MB
SPPAS-4.23-2024-12-19.zip 2024-12-19 173.9 MB
cuedspeech.tar 2024-12-19 43.1 MB
facemark.tar 2024-12-13 128.8 MB
facedetect.tar 2024-12-13 9.7 MB
SPPAS-4.22-2024-07-17.zip 2024-07-17 330.6 MB
SPPAS-4.21-2024-05-21.zip 2024-05-21 328.8 MB
SPPAS-4.20-2024-05-13.zip 2024-05-13 325.8 MB
SPPAS-4.19-2024-03-29.zip 2024-03-29 317.4 MB
SPPAS-4.18-2024-03-13.zip 2024-03-13 218.4 MB
SPPAS-4.17-2024-01-29.zip 2024-01-29 170.8 MB
SPPAS-4.16-2024-01-20.zip 2024-01-20 170.4 MB
SPPAS-4.15-2023-12-23.zip 2023-12-23 171.4 MB
SPPAS-4.14-2023-10-24.zip 2023-10-24 182.3 MB
SPPAS-4.14-2023-10-23.zip 2023-10-23 179.4 MB
SPPAS-4.13-2023-08-25.zip 2023-08-25 180.0 MB
SPPAS-4.12-2023-07-14.zip 2023-07-14 179.4 MB
SPPAS-4.11-2023-06-11.zip 2023-06-11 166.0 MB
SPPAS-4.10-2023-03-10.zip 2023-03-10 206.7 MB
SPPAS-4.9-2023-02-10.zip 2023-02-10 165.7 MB
SPPAS-4.8-2022-12-14.zip 2022-12-14 127.4 MB
SPPAS-4.7-2022-10-12.zip 2022-10-13 125.7 MB
SPPAS-4.6-2022-08-22.zip 2022-08-22 122.8 MB
SPPAS-4.5-2022-04-15.zip 2022-04-15 373.8 MB
SPPAS-4.4-2022-04-05.zip 2022-04-05 202.4 MB
SPPAS-4.3-2022-03-22.zip 2022-03-22 88.9 MB
SPPAS-4.2-2022-01-28.zip 2022-01-28 93.9 MB
SPPAS-4.1-2021-11-25.zip 2021-11-25 93.9 MB
SPPAS-4.0-2021-10-05.zip 2021-10-05 121.5 MB
SPPAS-3.9-2021-07-06.zip 2021-07-06 122.3 MB
SPPAS-3.8-2021-05-26.zip 2021-05-26 117.7 MB
SPPAS-3.7-2021-04-13.zip 2021-04-13 119.2 MB
SPPAS-3.6-2021-02-23.zip 2021-02-23 73.5 MB
SPPAS-3.5-2021-01-19.zip 2021-01-20 72.3 MB
SPPAS-3.4-2020-12-04.zip 2021-01-18 98.0 MB
Totals: 39 Items   6.3 GB 26
-------------------------------------------------------------------------

               ██████╗  ██████╗   ██████╗    █████╗    ██████╗
              ██╔════╝  ██╔══██╗  ██╔══██╗  ██╔══██╗  ██╔════╝
              ██████═╗  ██████╔╝  ██████╔╝  ███████║  ██████═╗
              ╚════██║  ██╔═══╝   ██╔═══╝   ██╔══██║  ╚════██║
              ██████ ║  ██║       ██║       ██║  ██║  ██████ ║
              ╚══════╝  ╚═╝       ╚═╝       ╚═╝  ╚═╝  ╚══════╝

            the automatic annotation and analysis of speech

               Copyright (C) 2011-2025  Brigitte Bigi, CNRS
        Laboratoire Parole et Langage, Aix-en-Provence, France
-------------------------------------------------------------------------

Overview

SPPAS - the automatic annotation and analyses of speech, is a scientific computer software package 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.

How SPPAS software can be helpful?

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

Among other features, SPPAS allows users 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

Follows carefully installation instructions at https://sppas.org/installation.html to install Python. Then launch setup.bat or setup.command depending on your OS to install other required dependencies and optional dependencies.

Launch sppas.bat or sppas.command depending on your OS. See chapter 1 of the book for details: https://sppas.org/book_01_introduction.html.

Cite

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

Any publication or product arising 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. DOI

Brigitte Bigi (2016). A Phonetization Approach for the Forced-Alignment Task in SPPAS. Lecture Notes in Computer Science, vol 9561. Springer, Cham. https://doi.org/10.1007/978-3-319-43808-5_30

Brigitte Bigi (2024). SPPAS - the automatic annotation and analysis of speech. 2011-2024. https://hal.science/hal-04392175

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 and resources of SPPAS have individual licenses - see their individual documentations.

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;
  • 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.

Source: README.md, updated 2025-06-24