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 sits in PulseGate's Foundation models & chat category. 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. W2v Bert is open source under the Open Source license. It ships for the web and the command line.
Meta (AI at Meta) builds and maintains W2v Bert, and it first shipped in 2024. Key capabilities include speech encoding, feature extraction, and open source.
Summary written by a language model from the project’s public pages.
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