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Integrating Group Homophily and Individual Personality of Topics Can Better Model Network Communities.

, , , and . ICDM, page 611-620. IEEE, (2020)

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Improving low-resource Tibetan end-to-end ASR by multilingual and multilevel unit modeling., , , , and . EURASIP J. Audio Speech Music. Process., 2022 (1): 2 (2022)Estimation of vocal tract shapes from speech sounds with a physiological articulatory model., and . J. Phonetics, 30 (3): 511-532 (2002)Speech Emotion Recognition Considering Local Dynamic Features., , , , and . CoRR, (2018)Monolingual Recognizers Fusion for Code-switching Speech Recognition., , , , , , , and . CoRR, (2022)Deeper Multiscale Encoding-Decoding Feature Fusion Network for Change Detection of VHR Images., , , , and . IEEE Geosci. Remote. Sens. Lett., (2023)Investigation of the relation between acoustic features and articulation - An application to emotional speech analysis., , and . ISCSLP, page 326-329. IEEE, (2010)Robust Environmental Sound Recognition with Sparse Key-point Encoding and Efficient Multi-spike Learning., , , , , and . CoRR, (2019)Learning Language and Speaker Information for Code-Switch Speech Synthesis with Limited Data., , , , , and . ASRU, page 602-609. IEEE, (2021)Time-Domain Speech Enhancement Assisted by Multi-Resolution Frequency Encoder and Decoder., , , , and . ICASSP, page 1-5. IEEE, (2023)Meta-Learning for Cross-Channel Speaker Verification., , , , , and . ICASSP, page 5839-5843. IEEE, (2021)