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Meta-Adapter: Efficient Cross-Lingual Adaptation With Meta-Learning., , , and . ICASSP, page 7028-7032. IEEE, (2021)FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling., , , , , , and . NeurIPS, page 18408-18419. (2021)Low-Resource Mandarin Prosodic Structure Prediction Using Self-Training., , and . APSIPA ASC, page 859-863. IEEE, (2021)Toward the realization of spontaneous speech recognition - introduction of a Japanese priority program and preliminary results -., , , , and . INTERSPEECH, page 518-521. ISCA, (2000)Cross-Domain Speaker Recognition using Cycle-Consistent Adversarial Networks., , , and . APSIPA, page 2070-2074. IEEE, (2019)Evolution-Strategy-Based Automation of System Development for High-Performance Speech Recognition., , , , and . IEEE ACM Trans. Audio Speech Lang. Process., 27 (1): 77-88 (2019)Unsupervisec cross-validation adaptation algorithms for improved adaptation performance., , and . ICASSP, page 4377-4380. IEEE, (2009)Model Complexity Selection and Cross-Validation EM Training for Robust Speaker Diarization., , , and . ICASSP (4), page 273-276. IEEE, (2007)Pseudo speaker models for text-independent speaker verification using rank threshold., , , and . NLPKE, page 265-268. IEEE, (2011)Hmm State Clustering Based on Efficient Cross-Validation.. ICASSP (1), page 1157-1160. IEEE, (2006)