wav2vec2-large-xlsr-53-persian is an open speech-recognition model fine-tuned for Persian automatic transcription. Developers can load it locally with Transformers, PyTorch, or JAX and use it through supported notebooks and inference tools.
Wav2vec2 Large Xlsr 53 Persian is a Speech to text project. It focuses on transcribing Persian speech into text without training an automatic speech-recognition model from scratch. Wav2vec2 Large Xlsr 53 Persian is an open-source project aimed at machine learning developers and speech researchers. The project is open source (MIT). Wav2vec2 Large Xlsr 53 Persian is available on the web, and it can be self-hosted.
Jonatas Grosman builds and maintains Wav2vec2 Large Xlsr 53 Persian, and it first shipped in 2021. The project is developed in the open on GitHub with 206 stars. It operates in a well-populated space: PulseGate tracks 10 similar projects. Key capabilities include speech recognition, persian transcription, and transformers support.
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