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Hybrid HMM/BN ASR system integrating spectrum and articulatory features.

, , , and . INTERSPEECH, page 965-968. ISCA, (2003)

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Investigation of the relation between acoustic features and articulation - An application to emotional speech analysis., , and . ISCSLP, page 326-329. IEEE, (2010)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)Deeper Multiscale Encoding-Decoding Feature Fusion Network for Change Detection of VHR Images., , , , and . IEEE Geosci. Remote. Sens. Lett., (2023)Monolingual Recognizers Fusion for Code-switching Speech Recognition., , , , , , , and . CoRR, (2022)Robust Environmental Sound Recognition with Sparse Key-point Encoding and Efficient Multi-spike Learning., , , , , and . CoRR, (2019)Estimation of vocal tract shapes from speech sounds with a physiological articulatory model., and . J. Phonetics, 30 (3): 511-532 (2002)Multi-modal recording and modeling of vocal tract movements., , , , , and . Multim. Tools Appl., 75 (9): 5247-5263 (2016)Speech Emotion Recognition Considering Local Dynamic Features., , , , and . CoRR, (2018)Learning Language and Speaker Information for Code-Switch Speech Synthesis with Limited Data., , , , , and . ASRU, page 602-609. IEEE, (2021)Noise-Disentanglement Metric Learning for Robust Speaker Verification., , , , , and . ICASSP, page 1-5. IEEE, (2023)