A review on speech separation in cocktail party environment: challenges and approaches
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-14649-x.pdf
Reference104 articles.
1. Abdali S, NaserSharif B (2017) Non-negative matrix factorization for speech/music separation using source dependent decomposition rank, temporal continuity term and filtering. Biomed Signal Process Control 36:168–175
2. Arango-Sánchez JA, Arias-Londoño JD (2022) An enhanced conv-TasNet model for speech separation using a speaker distance-based loss function
3. Awotunde JB, Ogundokun RO, Ayo FE, Matiluko OE (2020) Speech segregation in background noise based on deep learning. IEEE Access 8:169568–169575
4. Boppidi PKR, Louis VJ, Subramaniam A, Tripathy RK, Banerjee S, Kundu S (2020) Implementation of fast ICA using memristor crossbar arrays for blind image source separations. IET Circuits, Devices & Systems 14(4):484–489
5. Bronkhorst AW (2015) The cocktail-party problem revisited: early processing and selection of multi-talker speech. Attention, Perception, & Psychophysics 77(5):1465–1487
Cited by 8 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. Blind source separation in 3rd generation gravitational-wave detectors;New Astronomy Reviews;2024-12
2. A novel framework for under-determined blind source separation based on adaptive source counting using mixed linear and circular data clustering algorithm for low latency applications;Multimedia Tools and Applications;2024-04-24
3. Exploiting Time–Frequency Sparsity for Dual-Sensor Blind Source Separation;Electronics;2024-03-26
4. Advanced transient noise reduction in speech signals via semi-supervised signal fusion;Applied Acoustics;2024-03
5. Adaptive Constrained ICAMGGMM: An Improvement Over ICA;2023 Tenth International Conference on Social Networks Analysis, Management and Security (SNAMS);2023-11-21
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