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Amelie Royer

Amelie Royer is a research scientist at Kyutai in Paris working on efficient large models and speech-language systems. Before joining Kyutai in June 2024, she spent three years at Qualcomm AI Research working on efficient and multimodal machine learning. She earned a PhD in computer science from ENS Paris-Saclay and LIP6 in 2021 after a master's in applied mathematics from ENS Paris-Saclay.

Researcher1 organizations1 reports

Profile status: updated

updated France 6 public sources
MultimodalEfficient ModelsSpeech

Education

ENS Paris-Saclay Master's (Applied Mathematics) 2017
ENS Paris-Saclay / LIP6 PhD (Computer Science) 2021

Work

Kyutai Research Scientist 2024-06-01

Public links

website Personal homepage dblp DBLP profile github GitHub profile google_scholar Google Scholar profile other Kyutai profile other OpenReview profile

Organizations

extended Kyutai

Reports

Speech Language Models Moshi: a speech-text foundation model for real-time dialogue

Official and primary sources

https://dblp.org/pid/169/4804.html Official source · dblp https://ameroyer.github.io/ Official source · homepage https://scholar.google.com/citations?user=P9-oT8AAAAAJ Official source · scholar

Supporting sources

https://github.com/ameroyer Supporting source · github https://kyutai.org/amelie Supporting source · other https://openreview.net/profile?id=~Amelie_Royer1 Supporting source · other