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Any-to-Many Voice Conversion With Location-Relative Sequence-to-Sequence Modeling

机译：任何与位置相对序列到序列建模的语音转换

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Songxiang Liu; Yuewen Cao; Disong Wang; Xixin Wu; Xunying Liu; Helen Meng;
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年度 2021
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1. Non-Parallel Sequence-to-Sequence Voice Conversion With Disentangled Linguistic and Speaker Representations [J] . Jing-Xuan Zhang, Zhen-Hua Ling, Li-Rong Dai Audio, Speech, and Language Processing, IEEE/ACM Transactions on . 2020,第期

机译：具有解开语言和扬声器表示的非平行序列到序列语音转换
2. TEXT-INDEPENDENT VOICE CONVERSION BASED ON CHINESE PHONEME CLASSIFICATION AND KERNEL EIGENVOICES GAUSSIAN MIXTURE MODEL [J] . YANPING LI, LINGHUA ZHANG, HUI DING International Journal of Information Acquisition . 2011,第4期

机译：基于汉语语音分类和核本征语音高斯混合模型的文本无关语音转换
3. Voice conversion based on Gaussian processes by using kernels modeling the spectral density with Gaussian mixture models [J] . Bao Jingyi, Xu Ning Modern Physics Letters, B. Condensed Matter Physics, Statistical Physics, Applied Physics . 2018,第34a36期

机译：利用高斯混合模型使用核心模拟谱密度的基于高斯过程的语音转换
4. Non-parallel Sequence-to-Sequence Voice Conversion for Arbitrary Speakers [C] . Ying Zhang, Hao Che, Xiaorui Wang International Symposium on Chinese Spoken Language Processing . 2021

机译：任意扬声器的非平行序列到序列语音转换
5. Posteriorgram-to-Acoustic Modeling for Unconstrained Voice Conversion with Deep Learning [D] . Sun, Lifa. 2017

机译：用于深度学习的无约束语音转换的后部图到声音建模
6. Detecting insertion substitution and deletion errors in radiology reports using neural sequence-to-sequence models [O] . John Zech, Jessica Forde, Joseph J. Titano, 2019

机译：使用神经序列到序列模型检测放射学报告中的插入替换和删除错误
7. The NU Voice Conversion System for the Voice Conversion Challenge 2020: On the Effectiveness of Sequence-to-sequence Models and Autoregressive Neural Vocoders [O] . Wen-Chin Huang, Patrick Lumban Tobing, Yi-Chiao Wu, 2020

机译：用于语音转换挑战的高音转换系统2020：关于序列到序列模型和自回归神经探测器的有效性

Any-to-Many Voice Conversion With Location-Relative Sequence-to-Sequence Modeling

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