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the automatic annotation and analysis of speech
Copyright (C) 2011-2025 Brigitte Bigi, CNRS
Laboratoire Parole et Langage, Aix-en-Provence, France
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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.
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.
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.
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.
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_30Brigitte Bigi (2024). SPPAS - the automatic annotation and analysis of speech.
2011-2024. https://hal.science/hal-04392175
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.