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Who Needs Words? Lexicon-Free Speech Recognition., , and . INTERSPEECH, page 3915-3919. ISCA, (2019)Can you Remove the Downstream Model for Speaker Recognition with Self-Supervised Speech Features?, , , , , , , , and . CoRR, (2024)Flashlight: Enabling Innovation in Tools for Machine Learning., , , , , , , , , and 4 other author(s). ICML, volume 162 of Proceedings of Machine Learning Research, page 10557-10574. PMLR, (2022)End-to-end ASR: from Supervised to Semi-Supervised Learning with Modern Architectures., , , , , , , , and . CoRR, (2019)VISION Datasets: A Benchmark for Vision-based InduStrial InspectiON., , , , , , , , and . CoRR, (2023)Pseudo-Labeling for Massively Multilingual Speech Recognition., , , and . CoRR, (2021)Unsupervised ASR via Cross-Lingual Pseudo-Labeling., , and . CoRR, (2023)Joint Speech Transcription and Translation: Pseudo-Labeling with Out-of-Distribution Data., , , and . CoRR, (2022)More Speaking or More Speakers?, , , and . ICASSP, page 1-5. IEEE, (2023)Robust wav2vec 2.0: Analyzing Domain Shift in Self-Supervised Pre-Training., , , , , , , , , and 1 other author(s). Interspeech, page 721-725. ISCA, (2021)