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COMPRISE Weakly Supervised Speech-to-Text (STT) and COMPRISE Weakly Supervised Natural Language Understanding (NLU) have been released!
COMPRISE Weakly Supervised STT and COMPRISE Weakly Supervised NLU are now publicly available. Weakly supervised learning addresses the problem that, for many relevant tasks, classical supervised learning methods require the collection and manual transcription or labelling of large amounts of speech or text data. This classical approach is both time-consuming and expensive. Main features COMPRISE …
The 5th edition of the Oriental Language Recognition (OLR) challenge has praised the reliability and stability of an automatic language recognition system developed by Multispeech. Raphaël Duroselle, doctoral student, looks back at the stakes and the tasks of this international challenge which honoured the dynamism of the team’s researchers. A new challenge for the …
Antoine Deleforge, researcher and Stéphane Dilungana, Phd student at Inria, Cédric Foy, researcher from Cerema et UMRAE, speak about this project dedicated to sound diagnostic. To know more : https://www.inria.fr/fr/diagnostic-acoustique-faire-mieux-plus-vite-et-moins-cher
How to anonymise a voice without altering the message or producing a robotic voice? This was the question asked to the participants of the 1st edition of the VoicePrivacy Challenge. Completed in November 2020, this international competition on voice data protection was an initiative of Multispeech, a project-team common to Loria and Inria used to …