Speech Enhancement-assisted Voice Conversion in Noisy Environments-Reference-Cited by-同舟云学术

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Speech Enhancement-assisted Voice Conversion in Noisy Environments

Published:2022-11-07 Issue: Volume: Page:
ISSN:
Container-title:2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
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Author:

Chan Yun-Ju¹,Peng Chiang-Jen¹,Wang Syu-Siang²,Wang Hsin-Min³,Tsao Yu⁴,Chi Tai-Shih¹

Affiliation:

1. National Yang Ming Chiao Tung University,Department of Electrical and Computer Engineering,Hsinchu,Taiwan

2. Yuan Ze University,Department of Electrical Engineering,Taoyuan,Taiwan

3. Institute of Information Science, Academia Sinica,Taipei,Taiwan

4. Research Center for Information Technology Innovation,Academia Sinica,Taipei,Taiwan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9979726/9979808/09979851.pdf?arnumber=9979851

Reference32 articles.

1. Noise-Robust Voice Conversion Using High-Quefrency Boosting via Sub-Band Cepstrum Conversion and Fusion

2. Robustness of Statistical Voice Conversion Based on Direct Waveform Modification Against Background Sounds

3. Noisy-to-noisy voice conversion framework with denoising model;xie;ArXiv Preprint,2021

4. Exemplar-based voice conversion in noisy environment

5. Parallel Wavegan: A Fast Waveform Generation Model Based on Generative Adversarial Networks with Multi-Resolution Spectrogram

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