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The Zero Resource Speech Challenge 2015: Proposed Approaches and Results.

, , , and . SLTU, volume 81 of Procedia Computer Science, page 67-72. Elsevier, (2016)

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CNN Architectures for Large-Scale Audio Classification., , , , , , , , , and 3 other author(s). CoRR, (2016)Addressing Missing Labels in Large-Scale Sound Event Recognition Using a Teacher-Student Framework With Loss Masking., , , , , and . IEEE Signal Process. Lett., (2020)BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition., , , , , , , , , and 16 other author(s). CoRR, (2021)Universal Paralinguistic Speech Representations Using Self-Supervised Conformers., , , , and . CoRR, (2021)Unsupervised Learning of Semantic Audio Representations., , , , , , , and . ICASSP, page 126-130. IEEE, (2018)Coincidence, Categorization, and Consolidation: Learning to Recognize Sounds with Minimal Supervision., , , , , , and . ICASSP, page 121-125. IEEE, (2020)Data-driven Posterior Features for Low Resource Speech Recognition Applications., , , and . INTERSPEECH, page 791-794. ISCA, (2012)Text-Driven Separation of Arbitrary Sounds., , , , , and . INTERSPEECH, page 5403-5407. ISCA, (2022)Towards spoken term discovery at scale with zero resources., , and . INTERSPEECH, page 1676-1679. ISCA, (2010)Into the Wild with AudioScope: Unsupervised Audio-Visual Separation of On-Screen Sounds., , , , , , and . ICLR, OpenReview.net, (2021)