Fine Tuning and Comparing Tacotron 2, Deep Voice 3, and FastSpeech 2 TTS Models in a Low Resource Environment-Reference-Cited by-同舟云学术

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Fine Tuning and Comparing Tacotron 2, Deep Voice 3, and FastSpeech 2 TTS Models in a Low Resource Environment

Published:2022-07-29 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Data Science and Information System (ICDSIS)
language:
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Author:

Gopalakrishnan T.¹,Imam Syed Ayaz²,Aggarwal Archit³

Affiliation:

1. Manipal Institute of Technology,Department of Information Technology,Bengaluru

2. Vellore Institute of Technology,School of Computer Science and Engineering,Vellore,India

3. Vellore Institute of Technology,School of Computer Science and Engineering,Manipal,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9915554/9915796/09915932.pdf?arnumber=9915932

Reference29 articles.

1. Char2wav: End-to-end speech synthesis;sotelo,2017

2. Towards transfer learning for end-to-end speech synthesis from deep pre-trained language models;fang;arXiv preprint arXiv 1906 07165,2019

3. Improving language understanding by generative pre-training;radford,2018

4. Deep contextualized word representations;peters;Arxiv ArXiv,1802

5. Universal Language Model Fine-tuning for Text Classification

Cited by 2 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. A Novel Dysarthric Speech Synthesis system using Tacotron2 for specific and OOV words;2024 International Conference on Signal Processing and Communications (SPCOM);2024-07-01

2. Effects of Training Strategies and the Amount of Speech Data on the Quality of Speech Synthesis;Lecture Notes in Computer Science;2024

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