A fine-tuned wav2vec2-large model trained on the Russian GOLOS dataset for automatic speech recognition. The model achieves strong performance on Russian speech-to-text tasks and is distributed via Hugging Face for easy integration into Python applications using the Transformers library.
Wav2vec2 Large Ru Golos sits in PulseGate's Voice, TTS & speech category. It focuses on converting Russian spoken audio into accurate text transcripts using open models. It is built as an open-source project for developers. Wav2vec2 Large Ru Golos is open source under the Apache-2.0 license. It runs on the web and API.
It is developed by bond005, and the product first shipped in 2023. Development happens publicly on GitHub with 84 stars.
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