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MFCC enhancement using joint corrupted and noise feature space for highly non-stationary noise environments., , , , and . ICASSP, page 4109-4112. IEEE, (2012)Noisy speech enhancement based on prior knowledge about spectral envelope and harmonic structure., , and . ICASSP, page 4270-4273. IEEE, (2010)Speech enhancement based on log spectral envelope model and harmonicity-derived spectral mask, and its coupling with feature compensation., and . ICASSP, page 5064-5067. IEEE, (2011)WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing., , , , , , , , , and 9 other author(s). IEEE J. Sel. Top. Signal Process., 16 (6): 1505-1518 (2022)A Comparative Study of Modular and Joint Approaches for Speaker-Attributed ASR on Monaural Long-Form Audio., , , , , , , , and . ASRU, page 296-303. IEEE, (2021)Serialized Output Training for End-to-End Overlapped Speech Recognition., , , , and . INTERSPEECH, page 2797-2801. ISCA, (2020)Log-normal matrix factorization with application to speech-music separation., and . SAPA@INTERSPEECH, page 80-85. ISCA, (2012)Multichannel source separation based on source location cue with log-spectral shaping by hidden Markov source model., , , and . INTERSPEECH, page 2766-2769. ISCA, (2010)Ultra Fast Speech Separation Model with Teacher Student Learning., , , , , , , and . Interspeech, page 3026-3030. ISCA, (2021)Investigation of Practical Aspects of Single Channel Speech Separation for ASR., , , , , , , and . Interspeech, page 3066-3070. ISCA, (2021)