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 is a Voice, TTS & speech product. Automatically detecting the spoken language in audio recordings across 100+ languages. It is built as an open-source project for developers. Mms Lid 1024 is open source under the Open Source license. It runs on the web, the command line, and API.
Behind Mms Lid 1024 is Meta, based in the United States, and the product first shipped in 2023. Key capabilities include audio classification, 158 languages, and wav2vec2 architecture.
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