A context aware-based deep neural network approach for simultaneous speech denoising and dereverberation-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A context aware-based deep neural network approach for simultaneous speech denoising and dereverberation

Published:2022-02-19 Issue:12 Volume:34 Page:9831-9845
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Routray Sidheswar,Mao Qirong^ORCID

Funder

Key Programme

Jiangsu Planned Projects for Postdoctoral Research Funds

Qinglan Project of Jiangsu Province of Chin

Jiangsu Province key research and development plan

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

https://link.springer.com/content/pdf/10.1007/s00521-022-06968-1.pdf

Reference51 articles.

1. Doire CSJ, Brookes M, Naylor PA, Hicks CM, Betts D, Dmour MA, Holdt-Jensen S (2017) Single-channel online enhancement of speech corrupted by reverberation and noise. IEEE/ACM Trans Audio Speech Lang Process 25(3):572–587

2. Williamson DS, Wang D (2017) Time-frequency masking in the complex domain for speech dereverberation and denoising. IEEE/ACM Trans Audio Speech Lang Process 25(7):1492–1501

3. Nakatani T, Ikeshita R., Kinoshita K, Sawada H, Araki S (2021) Blind and neural network-guided convolutional beamformer for joint denoising, dereverberation, and source separation. In: ICASSP 2021 - 2021 IEEE international conference on acoustics, speech and signal processing (ICASSP), pp 6129–6133, https://doi.org/10.1109/ICASSP39728.2021.9414264

4. Nakatani T, Boeddeker C, Kinoshita K, Ikeshita R, Delcroix M, Haeb-Umbach R (2020) Jointly optimal denoising, dereverberation, and source separation. IEEE/ACM Trans Audio Speech Lang Process 28:2267–2282. https://doi.org/10.1109/TASLP.2020.3013118

5. Baby D, Bourlard H (2021) Speech dereverberation using variational autoencoders. In: ICASSP 2021–2021 IEEE international conference on acoustics, speech and signal processing (ICASSP), pp 5784–5788, https://doi.org/10.1109/ICASSP39728.2021.9414736

Cited by 6 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. Triple-0: Zero-shot denoising and dereverberation on an end-to-end frozen anechoic speech separation network;PLOS ONE;2024-07-16

2. An Integrated Deep Learning Model for Concurrent Speech Dereverberation and Denoising;Journal of Advances in Information Technology;2024

3. Internet speech denoising method based on IGAN algorithm;Journal of Computational Methods in Sciences and Engineering;2023-08-18

4. Analyzing and Managing Various Energy-Related Environmental Factors for Providing Personalized IoT Services for Smart Buildings in Smart Environment;Sustainability;2023-04-12

5. Efficient Key Management Mechanism with Trusted Gateways for Wireless Mesh Networks;Wireless Communications and Mobile Computing;2022-08-17

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3