Joint Deep Neural Network for Single-Channel Speech Separation on Masking-Based Training Targets

被引：0
|
作者：
Chen, Peng [1 ]
Thien Nguyen, Binh [2 ]
Geng, Yuting [2 ]
Iwai, Kenta [2 ]
Nishiura, Takanobu [2 ]
机构：
[1] Ritsumeikan University, Graduate School of Information Science and Engineering, Ibaraki, Osaka,567-8570, Japan
[2] Ritsumeikan University, College of Information Science and Engineering, Ibaraki, Osaka,567-8570, Japan
来源：
IEEE Access | 2024年 / 12卷
关键词：
All Open Access; Gold;
D O I：
10.1109/ACCESS.2024.3479292
中图分类号：
学科分类号：
摘要：
45
引用
下载
收藏
页码：152036 / 152044
相关论文
共 50 条
  • [31] Real-time single-channel deep neural network-based speech enhancement on edge devices
    Shankar, Nikhil
    Bhat, Gautam Shreedhar
    Panahi, Issa M. S.
    INTERSPEECH 2020, 2020, : 3281 - 3285
  • [32] A Speaker-Dependent Approach to Single-Channel Joint Speech Separation and Acoustic Modeling Based on Deep Neural Networks for Robust Recognition of Multi-Talker Speech
    Tu, Yan-Hui
    Du, Jun
    Lee, Chin-Hui
    JOURNAL OF SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY, 2018, 90 (07): : 963 - 973
  • [33] A Speaker-Dependent Approach to Single-Channel Joint Speech Separation and Acoustic Modeling Based on Deep Neural Networks for Robust Recognition of Multi-Talker Speech
    Yan-Hui Tu
    Jun Du
    Chin-Hui Lee
    Journal of Signal Processing Systems, 2018, 90 : 963 - 973
  • [34] Discriminatively Trained Recurrent Neural Networks for Single-Channel Speech Separation
    Weninger, Felix
    Hershey, John R.
    Le Roux, Jonathan
    Schuller, Bjoern
    2014 IEEE GLOBAL CONFERENCE ON SIGNAL AND INFORMATION PROCESSING (GLOBALSIP), 2014, : 577 - 581
  • [35] Design of a novel masking-based deep convolutional neural network approach for accident classification
    Kanakala, V. Raviteja
    Mohan, K. Jagan
    Reddy, V. Krishna
    INTERNATIONAL JOURNAL OF MODELING SIMULATION AND SCIENTIFIC COMPUTING, 2023, 15 (04)
  • [36] JOINT TRAINING OF DEEP NEURAL NETWORKS FOR MULTI-CHANNEL DEREVERBERATION AND SPEECH SOURCE SEPARATION
    Togami, Masahito
    2020 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, 2020, : 3032 - 3036
  • [37] A Regression Approach to Single-Channel Speech Separation Via High-Resolution Deep Neural Networks
    Du, Jun
    Tu, Yanhui
    Dai, Li-Rong
    Lee, Chin-Hui
    IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, 2016, 24 (08) : 1424 - 1437
  • [38] Single-channel Speech Separation based on Gaussian Process Regression
    Le Dinh Nguyen
    Chen, Sih-Huei
    Tai, Tzu-Chiang
    Wang, Jia-Ching
    2018 IEEE INTERNATIONAL SYMPOSIUM ON MULTIMEDIA (ISM 2018), 2018, : 275 - 278
  • [39] Perceptual Weighting Deep Neural Networks for Single-channel Speech Enhancement
    Han, Wei
    Zhang, Xiongwei
    Min, Gang
    Zhou, Xingyu
    Zhang, Wei
    PROCEEDINGS OF THE 2016 12TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA), 2016, : 446 - 450
  • [40] SINGLE-CHANNEL MIXED SPEECH RECOGNITION USING DEEP NEURAL NETWORKS
    Weng, Chao
    Yu, Dong
    Seltzer, Michael L.
    Droppo, Jasha
    2014 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2014,
12345