Data Selection for Improving Naturalness of TTS Voices Trained on Small Found Corpuses-Reference-Cited by-同舟云学术

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Data Selection for Improving Naturalness of TTS Voices Trained on Small Found Corpuses

Published:2018-12 Issue: Volume: Page:
ISSN:
Container-title:2018 IEEE Spoken Language Technology Workshop (SLT)
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Author:

Kuo F.-Y.,Aryal S.,Degottex G.,Kang S.,Lanchantin P.,Ouyang I.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8632666/8639030/08639642.pdf?arnumber=8639642

Cited by 7 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. Can We Use Common Voice to Train a Multi-Speaker TTS System?;2022 IEEE Spoken Language Technology Workshop (SLT);2023-01-09

2. Data Processing for Optimizing Naturalness of Vietnamese Text-to-speech System;2020 23rd Conference of the Oriental COCOSDA International Committee for the Co-ordination and Standardisation of Speech Databases and Assessment Techniques (O-COCOSDA);2020-11-05

3. Unsupervised Learning for Sequence-to-Sequence Text-to-Speech for Low-Resource Languages;Interspeech 2020;2020-10-25

4. An Unsupervised Method to Select a Speaker Subset from Large Multi-Speaker Speech Synthesis Datasets;Interspeech 2020;2020-10-25

5. Selection and Training Schemes for Improving TTS Voice Built on Found Data;Interspeech 2019;2019-09-15

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