Paaploss: A Phonetic-Aligned Acoustic Parameter Loss for Speech Enhancement-Reference-Cited by-同舟云学术

Paaploss: A Phonetic-Aligned Acoustic Parameter Loss for 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:

Yang Muqiao¹,Konan Joseph¹,Bick David¹,Zeng Yunyang¹,Han Shuo¹,Kumar Anurag²,Watanabe Shinji¹,Raj Bhiksha¹

Affiliation:

1. Carnegie Mellon University

2. Meta Reality Labs Research

Funder

National Science Foundation

Carnegie Mellon University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10094559/10094560/10096807.pdf?arnumber=10096807

Reference37 articles.

1. A Deep Learning Loss Function Based on the Perceptual Evaluation of the Speech Quality

2. WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing

3. MetricGAN+: An Improved Version of MetricGAN for Speech Enhancement

4. Speech Quality Assessment through MOS using Non-Matching References

5. Metricgan: Generative adversarial networks based black-box metric scores optimization for speech enhancement;fu;International Conference on Machine Learning,2019

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