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the automatic annotation and analysis of speech
https://sppas.org
Copyright (C) 2011-2025 Brigitte Bigi, CNRS
Laboratoire Parole et Langage, Aix-en-Provence, France
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SPPAS - the automatic annotation and analysis 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.
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.
Carefully follow the 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.
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.
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:
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.
SPPAS is a Research Software distributed in the context of the "Open Science".
Send an e-mail to the author at contact@sppas.org if you intend to:
git --depth=1 https://git.code.sf.net/p/sppas/code;The author of SPPAS has a visual impairment, so please keep your email concise.