Xinglei Liu

ORCID: 0000-0002-5340-3335
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About
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Research Areas
  • Urban Transport and Accessibility
  • Advanced Chemical Sensor Technologies
  • Human Mobility and Location-Based Analysis
  • COVID-19 epidemiological studies

University of Southern California
2023

IEEE Computer Society
2023

Institute of Electrical and Electronics Engineers
2023

Regional Municipality of Niagara
2023

There is substantial interest in deploying voice biomarkers for the detection of alcohol intoxication, yet it remains unknown how other mental and physical states (e.g. emotion, stress) influence intoxicated speech. We compared measurements quality (jitter, shimmer, noise-harmonics ratio) across two datasets alcohol-intoxicated speech: (1) The language corpus, which contains laboratory elicited speech from 167 individuals both sober conditions (2) a custom dataset police (control, n = 14)...

10.1121/10.0027759 article EN The Journal of the Acoustical Society of America 2024-03-01

This article analyzes visual data captured from five countries and three U.S. states to evaluate the effectiveness of lockdown policies for reducing spread COVID-19.The main challenge is scale: nearly six million images are analyzed observe how people respond policy changes.

10.1109/mc.2022.3175751 article EN Computer 2023-03-01
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