Boosting the Intelligibility of Waveform Speech Enhancement Networks through Self-supervised Representations-Reference-Cited by-同舟云学术

Boosting the Intelligibility of Waveform Speech Enhancement Networks through Self-supervised Representations

Published:2021-12 Issue: Volume: Page:
ISSN:
Container-title:2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA)
language:
Short-container-title:

Author:

Sun Tao,Gong Shuyu,Wang Zhewei,Smith Charles D.,Wang Xianhui,Xu Li,Liu Jundong

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9679834/9679948/09680152.pdf?arnumber=9680152

Reference37 articles.

1. Effects of noise on speech recognition: Challenges for communication by service members

2. Timit acoustic phonetic continuous speech corpus;garofolo;Linguistic Data Consortium,1993

3. Investigating RNN-based speech enhancement methods for noise-robust Text-to-Speech

4. Noisy speech database for training speech enhancement algorithms and tts models;valentini-botinhao;University of Edinburgh School of Informatics Centre for Speech Technology Research (CSTR),2017

5. Speech Enhancement

Cited by 3 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. Leveraging Self-Supervised Speech Representations for Domain Adaptation in Speech Enhancement;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

2. Improving Speech Perceptual Quality and Intelligibility Through Sub-band Temporal Envelope Characteristics;Communications in Computer and Information Science;2024

3. Individualized Conditioning and Negative Distances for Speaker Separation;2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA);2022-12