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DF-Conformer: Integrated Architecture of Conv-Tasnet and Conformer Using Linear Complexity Self-Attention for Speech Enhancement.

, , , , , , and . WASPAA, page 161-165. IEEE, (2021)

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Universal Sound Separation., , , , , , and . WASPAA, page 175-179. IEEE, (2019)Alternating Between Spectral and Spatial Estimation for Speech Separation and Enhancement., , , and . CoRR, (2019)Speech Analysis With the Strong Uncorrelating Transform., , and . IEEE ACM Trans. Audio Speech Lang. Process., 23 (11): 1858-1868 (2015)Deep recurrent NMF for speech separation by unfolding iterative thresholding., , , and . WASPAA, page 254-258. IEEE, (2017)Extending coherence time for analysis of modulated random processes., , and . ICASSP, page 340-344. IEEE, (2014)SDR - half-baked or well done?, , , and . CoRR, (2018)What's all the Fuss about Free Universal Sound Separation Data?, , , , , , , , and . ICASSP, page 186-190. IEEE, (2021)Audioslots: A Slot-Centric Generative Model For Audio Separation., , , , and . ICASSP Workshops, 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)Unsupervised Multi-channel Separation and Adaptation., , , and . CoRR, (2023)