Shypd.aiThe largest open index of AI toolswer_are_we is an open-source research tool that tracks state-of-the-art results and bibliography in speech recognition. It provides a comprehensive overview of recent advancements and model performance.
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wer_are_we is an open-source project dedicated to tracking the state-of-the-art and recent research results in speech recognition. It functions as a dynamic bibliography, compiling and presenting performance metrics (such as Word Error Rate or WER) for various models across different datasets like LibriSpeech, WSJ, Hub5'00, TED-LIUM, and CHiME. The project details the architectures, training methodologies, and published papers associated with each result, offering a valuable resource for researchers and practitioners to compare and understand advancements in the field. Users are encouraged to contribute corrections and updates, fostering a collaborative environment for maintaining an accurate and up-to-date overview of speech recognition progress.
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