Massively Multilingual Speech (MMS) 1B Facebook's MMS counting 1 billion parameters. MMS is Facebook AI's massive multilingual pretrained model for speech ("MMS"). It is pretrained in with Wav2Vec2's self supervised training objective on about 500,000 hours of speech data in over 1,400 languages. When using the model make sure that your speech input is sampled at 16kHz. Note : This model should be fine tuned on a downstream task, like Automatic Speech Recognition, Translation, or Classification. Check out the How to fine section or this blog for more information about ASR. Table Of Content How to Finetune Model details Additional links How to finetune Coming soon... Model details Developed by: Vineel Pratap et al. Model type: Multi Lingual Automatic Speech Recognition model Language(s): 1000+ languages License: CC BY NC 4.0 license Num parameters : 1 billion Cite as: @article{pratap2023mms, title={Scaling Speech Technology to 1,000+ Languages}, author={Vineel Pratap and Andros Tjandra and Bowen Shi and Paden Tomasello and Arun Babu and Sayani Kundu and Ali Elkahky and Zhaoheng Ni and Apoorv Vyas and Maryam Fazel Zarandi and Alexei Baevski and Yossi Adi and Xiaohui Zhang and Wei Nin…
We use cookies for essential functionality and analytics. You can accept or reject analytics cookies.Cookie policy