跳至主導覽
跳至搜尋
跳過主要內容
國立陽明交通大學研發優勢分析平台 首頁
English
中文
首頁
人員
單位
研究成果
計畫
獎項
活動
貴重儀器
影響
按專業知識、姓名或所屬機構搜尋
Enhancing music recognition using deep learning-powered source separation technology for cochlear implant users
Yuh Jer Chang, Ji Yan Han, Wei Chung Chu, Lieber Po Hung Li,
Ying Hui Lai
*
*
此作品的通信作者
生物醫學工程學系
研究成果
:
Article
›
同行評審
總覽
指紋
指紋
深入研究「Enhancing music recognition using deep learning-powered source separation technology for cochlear implant users」主題。共同形成了獨特的指紋。
排序方式
重量
按字母排序
Keyphrases
Adjustment Function
25%
Anchor Testing
25%
Cochlear Implant
25%
Cochlear Implant Users
100%
Deaf children
25%
Deep Learning
100%
Demucs
25%
Distortion Source
25%
Electrode number
25%
Live Concert
25%
Multi-stimuli
25%
Music Features
25%
Music Listening
75%
Music Recognition
100%
Personal Self
25%
Self-adjustment
25%
Self-fitting
25%
Separation Techniques
25%
Separation Technology
100%
Signal Separation
25%
Source Separation
100%
Subjective Analysis
25%
Technological Devices
25%
Vocal
75%
Engineering
Cochlear Implant
100%
Deep Learning Method
100%
Experimental Result
20%
Signal Separation
20%
Source Separation
100%
Test Stimulus
20%
Psychology
Cochlear Implant
100%
Sensation of Hearing
20%
Nursing and Health Professions
Cochlea Prosthesis
100%