Voice conversion based on deep neural networks for time-variant linear transformations-Reference-Cited by-同舟云学术

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Voice conversion based on deep neural networks for time-variant linear transformations

Published:2017-12 Issue: Volume: Page:
ISSN:
Container-title:2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
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Author:

Kotani Gaku,Saito Daisuke,Minematsu Nobuaki

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8270695/8281978/08282216.pdf?arnumber=8282216

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Investigating a neural all pass warp in modern TTS applications;Speech Communication;2022-03

2. Voice adaptation by color-encoded frame matching as a multi-objective optimization problem for future games;Complex & Intelligent Systems;2022-01-04

3. Voice Conversion Based on Deep Neural Networks for Time-Variant Linear Transformations;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2022

4. Noise and acoustic modeling with waveform generator in text-to-speech and neutral speech conversion;Multimedia Tools and Applications;2020-09-10

5. Voice Adaptation from Mean Dataset Voice Profile with Dynamic Power;2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC);2018-10

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