The Potential of Neural Speech Synthesis-Based Data Augmentation for Personalized Speech Enhancement-Reference-Cited by-同舟云学术

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The Potential of Neural Speech Synthesis-Based Data Augmentation for Personalized Speech Enhancement

Published:2023-06-04 Issue: Volume: Page:
ISSN:
Container-title:ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Kuznetsova Anastasia¹,Sivaraman Aswin¹,Kim Minje¹

Affiliation:

1. Indiana University,Luddy School of Informatics, Computing, and Engineering,Bloomington,IN,USA

Funder

National Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10094559/10094560/10096601.pdf?arnumber=10096601

Reference28 articles.

1. Sparse Mixture of Local Experts for Efficient Speech Enhancement

2. Test-Time Adaptation Toward Personalized Speech Enhancement: Zero-Shot Learning with Knowledge Distillation

3. Speech Recognition with Augmented Synthesized Speech

4. Zero-Shot Personalized Speech Enhancement Through Speaker-Informed Model Selection

5. Efficient Personalized Speech Enhancement Through Self-Supervised Learning

Cited by 1 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. Multi speaker text-to-speech synthesis using generalized end-to-end loss function;Multimedia Tools and Applications;2024-01-13

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