Inter-Frequency Phase Difference for Phase Reconstruction Using Deep Neural Networks and Maximum Likelihood-Reference-Cited by-同舟云学术

Inter-Frequency Phase Difference for Phase Reconstruction Using Deep Neural Networks and Maximum Likelihood

Author:

Thien Nguyen Binh¹^ORCID,Wakabayashi Yukoh²^ORCID,Iwai Kenta³^ORCID,Nishiura Takanobu³^ORCID

Affiliation:

1. Graduate School of Information Science and Engineering, Ritsumeikan University, Shiga, Japan

2. Department of Computer Science and Engineering, Toyohashi University of Technology, Toyohashi, Japan

3. College of Information Science and Engineering, Ritsumeikan University, Shiga, Japan

Funder

Ritsumeikan Advanced Research Academy

Ritsumeikan Global Innovation Research Organization

JSPS KAKENHI

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Acoustics and Ultrasonics,Computer Science (miscellaneous),Computational Mathematics

Link

Reference55 articles.

1. Improving DNN-Based music source separation using phase features;muth;Joint Workshop Mach Learn Music,2018

Cited by 4 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. A Flexible Online Framework for Projection-Based Stft Phase Retrieval;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

2. Unrestricted Global Phase Bias-Aware Single-Channel Speech Enhancement with Conformer-Based Metric Gan;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14