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Multi-Channel Speaker Extraction with Adversarial Training: The Wavlab Submission to The Clarity ICASSP 2023 Grand Challenge.

, , , , , , and . ICASSP, page 1-2. IEEE, (2023)

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Reversible Audio Information Hiding Based on Integer DCT Coefficients with Adaptive Hiding Locations., , , and . IWDW, volume 8389 of Lecture Notes in Computer Science, page 376-389. Springer, (2013)Acoustic Topic Model for Scene Analysis With Intermittently Missing Observations., and . IEEE ACM Trans. Audio Speech Lang. Process., 27 (2): 367-382 (2019)Outer-Product Hidden Markov Model and Polyphonic MIDI Score Following., , , , and . CoRR, (2014)Audio genre classification using percussive pattern clustering combined with timbral features., , , and . ICME, page 382-385. IEEE, (2009)Spatial-feature-based acoustic scene analysis using distributed microphone array., and . EUSIPCO, page 734-738. IEEE, (2015)Relaxation of rank-1 spatial constraint in overdetermined blind source separation., , , , and . EUSIPCO, page 1261-1265. IEEE, (2015)Independent Deeply Learned Matrix Analysis for Multichannel Audio Source Separation., , , , , , and . EUSIPCO, page 1557-1561. IEEE, (2018)Acoustic scene classification based on generative model of acoustic spatial words for distributed microphone array., and . EUSIPCO, page 2279-2283. IEEE, (2017)On microphone arrangement for multichannel speech enhancement based on nonnegative matrix factorization in time-channel domain., , , , , and . APSIPA, page 1-5. IEEE, (2014)Abnormal sound detection by two microphones using virtual microphone technique., , , and . APSIPA, page 478-482. IEEE, (2017)