w2v-bert-2.0 is an open-source speech encoder model from Meta, designed for extracting features from audio data. It supports multiple languages and is suitable for researchers and developers working on speech and language processing tasks.
W2v Bert is a Foundation models & chat product. Extracts features from audio data for downstream speech and language processing tasks. W2v Bert is an open-source project aimed at researchers and developers in speech processing. The project is open source (Open Source). The product ships for the web and the command line.
Meta (AI at Meta) builds and maintains W2v Bert, and the product first shipped in 2024. Among its 5 catalogued features are speech encoding, feature extraction, and open source.
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