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Acoustic to articulatory mapping with deep neural network., , , , and . Multim. Tools Appl., 74 (22): 9889-9907 (2015)Estimating the Uncertainty in Emotion Class Labels With Utterance-Specific Dirichlet Priors., , , and . IEEE Trans. Affect. Comput., 14 (4): 2810-2822 (October 2023)MSMC-TTS: Multi-Stage Multi-Codebook VQ-VAE Based Neural TTS., , , , and . IEEE ACM Trans. Audio Speech Lang. Process., (2023)A Hierarchical Regression Chain Framework for Affective Vocal Burst Recognition., , , , , and . ICASSP, page 1-5. IEEE, (2023)A Multitask Learning Framework for Speaker Change Detection with Content Information from Unsupervised Speech Decomposition., , , , , , and . ICASSP, page 8087-8091. IEEE, (2022)Understanding speaking styles of internet speech data with LSTM and low-resource training., , , , , and . ACII, page 815-820. IEEE Computer Society, (2015)Voice Conversion Across Arbitrary Speakers Based on a Single Target-Speaker Utterance., , , , , and . INTERSPEECH, page 496-500. ISCA, (2018)Exploring linguistic feature and model combination for speech recognition based automatic AD detection., , , , , , , and . INTERSPEECH, page 3328-3332. ISCA, (2022)Learning Explicit Prosody Models and Deep Speaker Embeddings for Atypical Voice Conversion., , , , , and . Interspeech, page 4813-4817. ISCA, (2021)Jointly Trained Conversion Model and WaveNet Vocoder for Non-Parallel Voice Conversion Using Mel-Spectrograms and Phonetic Posteriorgrams., , , , , and . INTERSPEECH, page 714-718. ISCA, (2019)