This wav2vec2 model is fine-tuned on the Juznevesti Serbian dataset for automatic speech recognition. It is part of the CLASSLA initiative to support South Slavic languages. The model can be used with the Hugging Face transformers pipeline for transcribing Serbian speech.
Wav2vec2 Xls R Juznevesti Sr sits in PulseGate's Voice, TTS & speech category. It focuses on transcribing spoken Serbian audio into text with high accuracy. It is built as an open-source project for developers. Wav2vec2 Xls R Juznevesti Sr is open source under the Apache-2.0 license. It runs on the web and API.
It is developed by classla, and the product first shipped in 2022. Development happens publicly on GitHub with 1 commits in the last 90 days.
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