Assistant Research Profes at Johns Hopkins Whiting School of Engineering
Baltimore, Maryland, United States
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Jesús López is an Assistant Research Professor at Johns Hopkins CLSP with a decade of focused experience in extracting identity and paralinguistic information from speech. He holds an M.Sc. in Telecommunications and a Ph.D. in Biomedical Engineering from the University of Zaragoza, where his dissertation advanced speaker recognition under adverse conditions. Jesús has bridged academia and industry—from internships in Brno and Agnitio to developing robust speaker recognition for Cirrus Logic—bringing practical, product-minded research to state-of-the-art systems. His expertise spans speaker diarization, language and emotion inference, Bayesian methods, and deep generative models, with a particular interest in unsupervised learning for real-world speech variability. Colleagues describe him as a researcher who pairs rigorous probabilistic foundations with hands-on system implementation, often exploring attack resilience and speech quality measures that are easy to overlook.
9 years of coding experience
15 years of employment as a software developer
Ph.D. on Biomedical Engineering, Speaker Recognition, Ph.D. on Biomedical Engineering, Speaker Recognition at Universidad de Zaragoza
Repository of recipes for the JSALT2019 workshop on "Speaker Detection in Adverse Scenarios with a Single Microphone"
Contributions:198 commits, 1 PR, 1 push in 7 months
pytorchrecipesmicrophoneworkshopdeep-learning
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Jesús López - Assistant Research Profes at Johns Hopkins Whiting School of Engineering