facebook/wav2vec2-lv-60-espeak-cv-ft is a fine-tuned wav2vec 2.0 model for automatic speech recognition and phonetic transcription. Trained on 60 languages from the Common Voice and espeak datasets, it is published as open weights on Hugging Face. It is intended for developers building multilingual speech applications using the Transformers library.
In the Voice, TTS & speech space, Wav2vec2 Lv 60 Espeak Cv Ft takes a focused approach. It focuses on performing accurate speech-to-text and phonetic transcription for diverse and low-resource languages using an open model. It is built as an open-source project for developers. Wav2vec2 Lv 60 Espeak Cv Ft is open source under the MIT license. It runs on the web and API.
Behind Wav2vec2 Lv 60 Espeak Cv Ft is Meta, based in the United States, and the product first shipped in 2017. The GitHub repository has been archived. Key capabilities include Automatic Speech Recognition, Phonetic Transcription, and Low-resource Languages. It exposes integrations via a public API.
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