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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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Zero resource graph-based confidence estimation for open vocabulary spoken term detection., , , and . ICASSP, page 8292-8296. IEEE, (2013)Frequency offset correction in speech without detecting pitch., , , and . ICASSP, page 7020-7024. IEEE, (2013)Efficient spoken term discovery using randomized algorithms., and . ASRU, page 401-406. IEEE, (2011)Dataset Balancing Can Hurt Model Performance., , , , , and . ICASSP, page 1-5. IEEE, (2023)Sparse, Efficient, and Semantic Mixture Invariant Training: Taming In-the-Wild Unsupervised Sound Separation., , , , and . WASPAA, page 51-55. IEEE, (2021)MuLan: A Joint Embedding of Music Audio and Natural Language., , , , , and . ISMIR, page 559-566. (2022)Low-resource open vocabulary keyword search using point process models., , , , , and . INTERSPEECH, page 2789-2793. ISCA, (2014)Exploiting Discriminative Point Process Models for Spoken Term Detection., , , and . INTERSPEECH, page 2442-2445. ISCA, (2012)A segmental framework for fully-unsupervised large-vocabulary speech recognition., , and . Comput. Speech Lang., (2017)Segmental acoustic indexing for zero resource keyword search., , and . ICASSP, page 5828-5832. IEEE, (2015)