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DNN-based Speaker Embedding Using Subjective Inter-speaker Similarity for Multi-speaker Modeling in Speech Synthesis.

, , and . SSW, page 51-56. ISCA, (2019)

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Statistical Parametric Speech Synthesis Incorporating Generative Adversarial Networks., , and . CoRR, (2017)Blind source separation based on independent low-rank matrix analysis with sparse regularization for time-series activity., , , , and . ICASSP, page 21-25. IEEE, (2017)JNV Corpus: A Corpus of Japanese Nonverbal Vocalizations with Diverse Phrases and Emotions., , and . CoRR, (2023)Incremental Text-to-Speech Synthesis Using Pseudo Lookahead with Large Pretrained Language Model., , and . CoRR, (2020)RWCP-SSD-Onomatopoeia: Onomatopoeic Word Dataset for Environmental Sound Synthesis., , , , , and . DCASE, page 125-129. (2020)Low-Latency Incremental Text-to-Speech Synthesis with Distilled Context Prediction Network., , and . ASRU, page 749-756. IEEE, (2021)Visual Onoma-to-Wave: Environmental Sound Synthesis from Visual Onomatopoeias and Sound-Source Images., , , , , and . ICASSP, page 1-5. IEEE, (2023)Digital Speech Makeup: Voice Conversion Based Altered Auditory Feedback for Transforming Self-Representation., , , , and . ICMI, page 159-167. ACM, (2021)Learning to Speak from Text: Zero-Shot Multilingual Text-to-Speech with Unsupervised Text Pretraining., , , , , and . IJCAI, page 5179-5187. ijcai.org, (2023)Parameter generation algorithm considering Modulation Spectrum for HMM-based speech synthesis., , , and . ICASSP, page 4210-4214. IEEE, (2015)