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Conformer-1: a new large scale/robust speech recognition model
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We're introducing Conformer-1, a state-of-the-art speech recognition model trained on 650K hours of audio data that achieves near human-level performance and robustness across a variety of data.
Our results demonstrate that Conformer-1 is more robust on real-world data than popular ASR models, making up to 43% fewer errors on noisy dataI, and achieving state-of-the-art results on a wide variety of academic and real-world datasets compared to other ASR models.
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#MachineLearning #DeepLearning
Our results demonstrate that Conformer-1 is more robust on real-world data than popular ASR models, making up to 43% fewer errors on noisy dataI, and achieving state-of-the-art results on a wide variety of academic and real-world datasets compared to other ASR models.
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#MachineLearning #DeepLearning
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