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WavDepressionNet: Automatic Depression Level Prediction via Raw Speech Signals
期刊论文
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, 2024, 卷号: 15, 期号: 1, 页码: 285-296
作者:
Niu, Mingyue
;
Tao, Jianhua
;
Li, Yongwei
;
Qin, Yong
;
Li, Ya
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浏览/下载:0/0
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提交时间:2024/07/03
Assessment block
depression level prediction
representation block
speech signals
WavDepressionNet
Speech enhancement for in-vehicle voice control systems using wavelet analysis and blind source separation
期刊论文
IET INTELLIGENT TRANSPORT SYSTEMS, 2019, 卷号: 13, 页码: 693-702
作者:
Lei, Peng
;
Chen, Meiling
;
Wang, Jun
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  |  
浏览/下载:10/0
  |  
提交时间:2019/12/30
automobiles
blind source separation
independent component analysis
Fourier transforms
signal denoising
wavelet transforms
speech enhancement
in-vehicle voice control systems
wavelet analysis
blind source separation
signal-to-interference ratio
speech-based intelligent driver assistant systems
serious impact
voice control commands
speech enhancement method
complicated automobile environment
typical speech signals
automatic selection method
optimal wavelet basis
signal
Exploring Risk Factors and Predicting UPDRS Score Based on Parkinson's Speech Signals
会议论文
2017 IEEE 19TH INTERNATIONAL CONFERENCE ON E-HEALTH NETWORKING, APPLICATIONS AND SERVICES (HEALTHCOM), 2017-01-01
作者:
Zhang, Jianxin
;
Xu, Weifeng
;
Zhang, Qiang
;
Jin, Bo
;
Wei, Xiaopeng
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  |  
浏览/下载:2/0
  |  
提交时间:2019/12/03
UPDRS
speech signals
framework of ensemble feature selection
personalized predictive model
Modelling envelope and temporal fine structure components of frequency-following responses in rat inferior colliculus
期刊论文
SCIENCE CHINA-TECHNOLOGICAL SCIENCES, 2017
Wang, Qian
;
Li, Liang
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浏览/下载:2/0
  |  
提交时间:2017/12/03
frequency-following response
envelope
temporal fine structure
inferior colliculus
AUDITORY BRAIN-STEM
SPEECH RECEPTION
NERVE FIBERS
REPRESENTATION
PERCEPTION
HEARING
VOWELS
TONES
SELECTIVITY
SIGNALS
Semi-blind source separation in smart home
会议论文
2016 IEEE Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2016, Chongqing, China, May 20, 2016 - May 22, 2016
作者:
Liu, Mingfei
;
Li, Shouliang
;
Yang, Yi
;
Li, Caihong
;
Li, Lian
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  |  
浏览/下载:6/0
  |  
提交时间:2017/01/18
Blind source separation
Automation
Beamforming
Intelligent buildings
Least squares approximations
Mixing
Signal processing
Speech communication
Least mean square(LMS)
Least Square
Least squares methods
Noisy environment
Prior knowledge
Separation methods
Simulation signals
Speech signals
Recognition of Infant's Emotions and Needs from Speech Signals
会议论文
作者:
Zhou, Xuan
;
Wang, Jian
;
Hu, Hongzhi
;
Dai, Weihui
;
Wei, Lina
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  |  
浏览/下载:3/0
  |  
提交时间:2019/12/05
speech signals
infant
emotions and needs
intelligent recognition
machine technology
Evaluation of depression severity in speech
会议论文
International Conference on Brain Informatics and Health, BIH 2016, Omaha, NE, United states, October 13, 2016 - October 16, 2016
作者:
Liu, Zhenyu
;
Hu, Bin
;
Liu, Fei
;
Kang, Huanyu
;
Li, Xiaoyu
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  |  
浏览/下载:3/0
  |  
提交时间:2017/01/18
Feature extraction
Diagnosis
Information science
Speech
Acoustic features
Compact subsets
Comparative analysis
Depression severity
Feature selection methods
Healthy controls
PHQ-9
Speech signals
Analysis of speech signals' characteristics based on MF-DFA with moving overlapping windows
期刊论文
Physica A: Statistical Mechanics and its Applications, 2016, 卷号: 442, 页码: 343-349
作者:
Zhao, Huan
;
He, Shaofang*
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  |  
浏览/下载:2/0
  |  
提交时间:2019/12/23
MF-DFA
Speech signals
Multi-fractal characteristics
Analysis of speech signals’ characteristics based on MF-DFA with moving overlapping windows
期刊论文
Physica A: Statistical Mechanics and its Applications, 2016, 卷号: Vol.442, 页码: 343-349
作者:
Zhao, Huan
;
He, Shaofang
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  |  
浏览/下载:3/0
  |  
提交时间:2019/12/31
MF-DFA
Speech signals
Multi-fractal characteristics
An algorithm for cancelling residual echoes based on Gaussian mixture model
期刊论文
Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University, 2013, 卷号: 47, 期号: [db:dc_citation_issue], 页码: 11-16
作者:
Zhang, Qi
;
Wang, Xia
;
Sun, Tao
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  |  
浏览/下载:2/0
  |  
提交时间:2019/12/03
Echo signals
End users
Error rate
Gaussian Mixture Model
Linear coefficients
Linear prediction coefficients
Speech features
Speech frames
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