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Speaker identification using Ultra-Wideband measurement of voice
Haoxuan Li
, Chong Tang
, Shelly Vishwakarma
, Yao Ge
, Wenda Li
Science and Engineering Office
Biomedical Engineering
Research output
:
Contribution to journal
›
Article
›
peer-review
3
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Citations (Scopus)
177
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Dive into the research topics of 'Speaker identification using Ultra-Wideband measurement of voice'. Together they form a unique fingerprint.
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Keyphrases
Speaker Identification
100%
Ultra-wideband
100%
Wideband Measurements
100%
Voice Identification
100%
Biometrics
40%
Speech Impairment
20%
Speech Production
20%
High-resolution
20%
Medical Applications
20%
Vulnerability
20%
Health Care Services
20%
Aphasia
20%
Speech Disorders
20%
Spectral Analysis
20%
Computational Power
20%
Breaking Method
20%
Electronic Health Records
20%
Deep Learning
20%
Acoustic Modeling
20%
Metric Analysis
20%
Ambient Noise
20%
Common pitfalls
20%
Potential Improvement
20%
Doppler Shift
20%
Intelligent Home
20%
Micro-Doppler
20%
Security Infrastructure
20%
Laryngeal Prominence
20%
Digital Assistant
20%
Metric Traits
20%
Voice Profile
20%
Ultra Wide Band Technology
20%
Transforming Healthcare
20%
Laryngeal Function
20%
Engineering
Ultra-Wideband
100%
Speaker Identification
100%
Metrics
50%
High Resolution
25%
Medical Applications
25%
Computational Power
25%
Ports and Harbors
25%
Electronic Health Record
25%
Spectrogram
25%
Improvement Potential
25%
Doppler Effect
25%
Deep Learning Method
25%
Healthcare Service
25%
Computer Science
Ultra-Wideband
100%
Speaker Identification
100%
Healthcare Service
25%
Computational Power
25%
Security Infrastructure
25%
Medical Applications
25%
Deep Learning Method
25%
Physics
Ultra-Wideband
100%
High Resolution
25%
Spectrogram
25%
Doppler Effect
25%
Ambient Noise
25%
Deep Learning Method
25%
Earth and Planetary Sciences
Ambient Noise
100%
Spectrogram
100%