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Speech Synthesis with Self-Supervisedly Learnt Prosodic Representations., , , , , and . INTERSPEECH, page 7-11. ISCA, (2023)Refining Self-Supervised Learnt Speech Representation using Brain Activations., , , , , , and . CoRR, (2024)Text Classification by Contrastive Learning and Cross-lingual Data Augmentation for Alzheimer's Disease Detection., , , , , and . COLING, page 6161-6171. International Committee on Computational Linguistics, (2020)PE-Wav2vec: A Prosody-Enhanced Speech Model for Self-Supervised Prosody Learning in TTS., , , , and . IEEE ACM Trans. Audio Speech Lang. Process., (2024)Integrating Discrete Word-Level Style Variations into Non-Autoregressive Acoustic Models for Speech Synthesis., , , and . INTERSPEECH, page 5508-5512. ISCA, (2022)Discourse-Level Prosody Modeling with a Variational Autoencoder for Non-Autoregressive Expressive Speech Synthesis., , and . ICASSP, page 7592-7596. IEEE, (2022)Detecting Alzheimer's Disease Based on Acoustic Features Extracted from Pre-trained Models., , , , , and . CICAI (3), volume 13606 of Lecture Notes in Computer Science, page 272-283. Springer, (2022)Dementia Detection by Analyzing Spontaneous Mandarin Speech., , , , , and . APSIPA, page 289-296. IEEE, (2019)Detecting Alzheimer's Disease from Speech Using Neural Networks with Bottleneck Features and Data Augmentation., , , and . ICASSP, page 7323-7327. IEEE, (2021)Considering Temporal Connection between Turns for Conversational Speech Synthesis., , , , , , and . ICASSP, page 11426-11430. IEEE, (2024)