Parrotron: An End-to-End Speech-to-Speech Conversion Model and its Applications to Hearing-Impaired Speech and Speech Separation-Reference-Cited by-同舟云学术

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Parrotron: An End-to-End Speech-to-Speech Conversion Model and its Applications to Hearing-Impaired Speech and Speech Separation

Published:2019-09-15 Issue: Volume: Page:
ISSN:
Container-title:Interspeech 2019
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Author:

Biadsy Fadi,Weiss Ron J.,Moreno Pedro J.,Kanvesky Dimitri,Jia Ye

Publisher

ISCA

Cited by 56 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. MLAAD: The Multi-Language Audio Anti-Spoofing Dataset;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

2. Transfer the Linguistic Representations from TTS to Accent Conversion with Non-Parallel Data;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

3. Electrolaryngeal Speech Intelligibility Enhancement through Robust Linguistic Encoders;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

4. UNIT-DSR: Dysarthric Speech Reconstruction System Using Speech Unit Normalization;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

5. Corpus Construction for Deaf Speakers and Analysis by Automatic Speech Recognition;2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC);2023-10-31

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