Open ASR Leaderboard is a web app that displays interactive leaderboards for automatic speech recognition models. Users can filter by language, dataset, and other metrics, making it valuable for researchers and developers evaluating ASR performance.
Open ASR Leaderboard is a Model leaderboards project. It focuses on comparing and evaluating speech recognition models across datasets and languages. It is built as a B2B product for machine learning researchers and developers. Open ASR Leaderboard is free to use. Open ASR Leaderboard is available on the web, and it can be self-hosted.
Behind Open ASR Leaderboard is hf-audio, and it first shipped in 2023. Key capabilities include leaderboard filtering, model search, and dataset selection.
Summary written by a language model from the project’s public pages.
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