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Adversarial Multi-task Deep Features and Unsupervised Back-end Adaptation for Language Recognition.

, , and . ICASSP, page 5961-5965. IEEE, (2019)

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Automatic Speech Assessment for People with Aphasia Using TDNN-BLSTM with Multi-Task Learning., , , and . INTERSPEECH, page 3418-3422. ISCA, (2018)Predicting Severity of Voice Disorder from DNN-HMM Acoustic Posteriors., , , , and . INTERSPEECH, page 97-101. ISCA, (2016)Supervised Single-Microphone Multi-Talker Speech Separation with Conditional Random Fields., , and . IEEE/ACM Trans. Audio, Speech & Language Processing, 23 (12): 2334-2342 (2015)Analysis and Signal Processing of Oesophageal and Pathological Voices., , and . EURASIP J. Adv. Sig. Proc., (2009)Surface electromyographic activity of non-laryngeal neck muscles in Cantonese tone production., , and . ISCSLP, page 304-307. IEEE, (2014)Integrating Complementary Features with a Confidence Measure for Speaker Identification., , , and . ISCSLP, volume 4274 of Lecture Notes in Computer Science, page 549-557. Springer, (2006)Prediction of Voice Disorder Severity: Contributions from Sustained Vowels and Continuous Speech., , , , and . ISCSLP, page 290-294. IEEE, (2018)Enhancing Sound Texture in CNN-based Acoustic Scene Classification., and . ICASSP, page 815-819. IEEE, (2019)Improved Cantonese Tone Recognition with Approximated F0 Contour: Implications for Cochlear Implants., , and . IALP, page 315-318. IEEE Computer Society, (2010)Pitch Tracking for Model-Based Speech Separation., , , and . ISCSLP, page 145-148. IEEE, (2008)