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A novel hybrid mandarin speech synthesis system using different base units for model training and concatenation., , , и . ICASSP, стр. 295-299. IEEE, (2014)Distilling Knowledge Using Parallel Data for Far-field Speech Recognition., , , и . CoRR, (2018)Deep Time Delay Neural Network for Speech Enhancement with Full Data Learning., , , , , и . CoRR, (2020)Improving Deep Neural Network Based Speech Synthesis through Contextual Feature Parametrization and Multi-Task Learning., , , , и . J. Signal Process. Syst., 90 (7): 1025-1037 (2018)Fast End-to-End Speech Recognition Via Non-Autoregressive Models and Cross-Modal Knowledge Transferring From BERT., , , , , и . IEEE ACM Trans. Audio Speech Lang. Process., (2021)Decoupling Pronunciation and Language for End-to-End Code-Switching Automatic Speech Recognition., , , , , и . ICASSP, стр. 6249-6253. IEEE, (2021)Improving Prosodic Boundaries Prediction for Mandarin Speech Synthesis by Using Enhanced Embedding Feature and Model Fusion Approach., , , , и . INTERSPEECH, стр. 3201-3205. ISCA, (2016)The Parameterized Phoneme Identity Feature as a Continuous Real-Valued Vector for Neural Network Based Speech Synthesis., , и . INTERSPEECH, стр. 2248-2252. ISCA, (2016)Pitch-Scaled Analysis based Residual Reconstruction for Speech Analysis and Synthesis., , и . INTERSPEECH, стр. 374-377. ISCA, (2012)Investigating Efficient Feature Representation Methods and Training Objective for BLSTM-Based Phone Duration Prediction., , , , и . INTERSPEECH, стр. 784-788. ISCA, (2017)