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News/Improving Large-Scale Weakly Supervised ASR by Filtering and Selection
arxiv
PublishedJune 30, 2026 at 4:00 AM
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Improving Large-Scale Weakly Supervised ASR by Filtering and Selection

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arXiv:2606.28728v1 Announce Type: cross Abstract: Leveraging large-scale weakly supervised datasets is crucial to train robust end-to-end automatic speech recognition (ASR) models. However, such datasets often contain noisy labels and lack domain specificity, limiting their effectiveness. To address

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