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EMA2S: An End-to-End Multimodal Articulatory-to-Speech System.

, , , , , , и . ISCAS, стр. 1-5. IEEE, (2021)

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Xugang Xia

Lu Lu

Jing Lu

Lu Zhang

Yanfeng Lu

 

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Optimal Classifier Parameter Status Selection Based on Bayes Boundary-ness for Multi-ProtoType and Multi-Layer Perceptron Classifiers., , , , , , и . IUKM, том 11471 из Lecture Notes in Computer Science, стр. 295-307. Springer, (2019)Contributions of Jitter and Shimmer in the Voice for Fake Audio Detection., , , и . IEEE Access, (2023)Unsupervised neural adaptation model based on optimal transport for spoken language identification., , , и . CoRR, (2020)Siamese Neural Network with Joint Bayesian Model Structure for Speaker Verification., , , и . APSIPA ASC, стр. 769-774. IEEE, (2021)Unsupervised Noise Adaptive Speech Enhancement by Discriminator-Constrained Optimal Transport., , , и . NeurIPS, стр. 19935-19946. (2021)EMA2S: An End-to-End Multimodal Articulatory-to-Speech System., , , , , , и . ISCAS, стр. 1-5. IEEE, (2021)Incremental training and constructing the very deep convolutional residual network acoustic models., , , , , и . ASRU, стр. 222-227. IEEE, (2017)Study of articulators' contribution and compensation during speech by articulatory speech recognition., , , , , , и . Multim. Tools Appl., 77 (14): 18849-18864 (2018)CS-REP: Making Speaker Verification Networks Embracing Re-Parameterization., , , , , , и . ICASSP, стр. 7082-7086. IEEE, (2022)Class-Wise Centroid Distance Metric Learning for Acoustic Event Detection., , , , и . INTERSPEECH, стр. 3614-3618. ISCA, (2019)