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How word semantics and phonology affect handwriting of Alzheimer's patients: a machine learning based analysis., , , and . CoRR, (2023)An End-to-End Deep Learning Approach to Simultaneous Speech Dereverberation and Acoustic Modeling for Robust Speech Recognition., , , , , , and . IEEE J. Sel. Top. Signal Process., 11 (8): 1289-1300 (2017)Hermitian Polynomial for Speaker Adaptation of Connectionist Speech Recognition Systems., , and . IEEE Trans. Speech Audio Process., 21 (10): 2152-2161 (2013)i-Vector Modeling of Speech Attributes for Automatic Foreign Accent Recognition., , , , and . IEEE ACM Trans. Audio Speech Lang. Process., 24 (1): 29-41 (2016)A study on integrating acoustic-phonetic information into lattice rescoring for automatic speech recognition., and . Speech Commun., 51 (11): 1139-1153 (2009)Speech Recognition Using Long-Span Temporal Patterns in a Deep Network Model., , , and . IEEE Signal Process. Lett., 20 (3): 201-204 (2013)Boosting End-to-End Multilingual Phoneme Recognition through Exploiting Universal Speech Attributes Constraints., , and . CoRR, (2023)Exploring Retraining-Free Speech Recognition for Intra-sentential Code-Switching., , , , , and . CoRR, (2021)Relational Teacher Student Learning with Neural Label Embedding for Device Adaptation in Acoustic Scene Classification., , , and . INTERSPEECH, page 1196-1200. ISCA, (2020)Exploring Deep Hybrid Tensor-to-Vector Network Architectures for Regression Based Speech Enhancement., , , , , and . INTERSPEECH, page 76-80. ISCA, (2020)