An open-weight Wav2Vec2 model fine-tuned for automatic speech recognition in Arabic. Developers can download and run it locally through the Transformers ecosystem for Arabic audio transcription.
Wav2vec2 Large Xlsr 53 Arabic is a Speech to text project. It focuses on transcribing Arabic speech into text without training an automatic speech-recognition model from scratch. Wav2vec2 Large Xlsr 53 Arabic is an open-source project aimed at machine-learning developers. Wav2vec2 Large Xlsr 53 Arabic is open source under the Apache-2.0 license. It runs on the web and the command line, and it can be self-hosted.
elgeish builds and maintains Wav2vec2 Large Xlsr 53 Arabic, and it first shipped in 2018. The project is developed in the open on GitHub with 164.2k stars and 776 commits in the last 90 days. It operates in a well-populated space: PulseGate tracks 8 similar projects. Key capabilities include arabic speech recognition, wav2Vec2 architecture, and transformer integration.
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