Part of Meta's Massively Multilingual Speech (MMS) project, this model performs language identification (LID) on audio across 158 languages. It is a fine-tuned wav2vec2 model that can be used via the Transformers library for audio-classification pipelines. The checkpoint is useful for preprocessing multilingual audio before routing to appropriate speech recognition models.
Mms Lid 1024 sits in PulseGate's Speech to text category. Automatically detecting the spoken language in audio recordings across 100+ languages. Mms Lid 1024 is an open-source project aimed at developers. Mms Lid 1024 is open source under the Open Source license. It ships for the web, the command line, and API.
It is developed by Meta (United States), and it first shipped in 2023. Key capabilities include audio classification, 158 languages, and wav2vec2 architecture.
Summary written by a language model from the project’s public pages.
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