five

SPPAS - Automatic Annotation of Speech

收藏
DataCite Commons2026-02-10 更新2026-05-04 收录
下载链接:
https://www.ortolang.fr/market/item/sldr000800/v5
下载链接
链接失效反馈
官方服务:
资源简介:
Features: SPPAS - Automatic Annotation of Speech is a free audio annotation tool that allows to create, visualize and search annotations for audio data. It is able to produce automatically speech segmentation annotations from a recorded speech sound and its transcription. Some special features are also offered for managing corpora of annotated files. SPPAS is a scientific computer software package written and maintained by Brigitte Bigi of the Laboratoire Parole et Langage, in Aix-en-Provence, France. Available for free, with open source code, there is simply no other package for linguists to simple use in automatic segmentation of speech. SPPAS is daily developed with the aim to provide a robust and reliable software for the automatic annotation and for the exploitation of annotated-data. SPPAS's data files are XML-based (xra files). However SPPAS is compatible with Praat, Elan, Transcriber, and many others. SPPAS is written in Python and runs on Windows, Macintosh and Unix platforms. Supports: SPPAS is partly carried out thanks to the support of the French state program ORTOLANG (Ref. Nr. ANR-11-EQPX-0032) funded by the « Investissements d'Avenir » French Government program, managed by the French National Research Agency (ANR). SPPAS is also partly carried out thanks to the support of the following projects or groups: CoFee - Conversational Feedback Variamu - Variations in Action: a MUltilingual approach Team C3i of LPL Campus France, Hubert Curien Partnerships (PHC) Main reference: 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.
提供机构:
ORTOLANG (Open Resources and TOols for LANGuage) - www.ortolang.fr
创建时间:
2026-02-10
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作