This web platform is based on Telemeta, an open-source web audio framework dedicated to digital sound archives. With this in mind, ethnomusicologists and engineers have joined efforts since 2007 to develop a scalable and collaborative web platform for managing and increasing access to digitized sound archives. As the number of collections increase and as new audio technologies arise, questions about the best approaches for preserving, archiving and providing public access to these materials have arisen. The audio archives of the CNRS-Musée de l’Homme are among the most important collections of ethnomusicological recordings in Europe. Praaline is free software, released under the GPL license. A series of visualisations, editors and plug-ins are provided. Praaline is extensible using Python or C++ plug-ins, while Praat and R scripts may be executed against the corpus data. The corpus database may be queried, to produce aggregated data-sets.
#Sonic visualiser plugins update
Users may run a customisable cascade of analysis steps, based on plug-ins and scripts, and update the database with the results.
Corpus metadata and annotations may be stored in a database, locally or remotely, and users can define the metadata and annotation structure. Users are exposed to an integrated, user-friendly interface from which to access multiple tools. Praaline integrates and extends existing time-proven tools for spoken corpora analysis (Praat, Sonic Visualiser and a bridge to the R statistical package) in a modular system, facilitating automation and reuse. Researchers working with speech corpora are often faced with multiple tools and formats, and they need to work with ever-increasing amounts of data in a collaborative way.
This paper presents Praaline, an open-source software system for managing, annotating, analysing and visualising speech corpora.
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