Accent-Preserving Voice Conversion between Native-Nonnative Speakers for Second Language Learning-Reference-Cited by-同舟云学术

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Accent-Preserving Voice Conversion between Native-Nonnative Speakers for Second Language Learning

Published:2023-10-31 Issue: Volume: Page:
ISSN:
Container-title:2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
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Author:

Correa Iago Lourenço¹,Ueno Sei¹,Lee Akinobu¹

Affiliation:

1. Nagoya Institute of Technology,Japan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10317071/10317095/10317245.pdf?arnumber=10317245

Reference28 articles.

1. Cyclegan-VC2: Improved Cyclegan-based Non-parallel Voice Conversion

2. CycleGAN-VC: Non-parallel Voice Conversion Using Cycle-Consistent Adversarial Networks

3. Diffusion-Based Voice Conversion with Fast Maximum Likelihood Sampling Scheme;popov;ICLRE,2022

4. GlowVC: Mel-spectrogram space disentangling model for language-independent text-free voice conversion

5. Non-Parallel Sequence-to-Sequence Voice Conversion With Disentangled Linguistic and Speaker Representations

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