Lauri Juvela
Assistant Professor at Aalto University
Helsinki, Finland
Summary
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Senior🎓
Top SchoolLauri Juvela is an Assistant Professor at Aalto University with nine years of experience developing machine learning methods for real-time speech and audio applications. His research focuses on generative deep learning for speech synthesis, modification, and representation learning, with additional emphasis on efficiency and controllability via differentiable signal processing and self-supervised methods. He transitioned from industry research at Neural DSP Technologies to academia after completing a PhD in Speech and Language Technology, and his doctoral work on deep learning and signal modeling for TTS is publicly available. Based in Helsinki, he blends rigorous signal-processing foundations with practical, real-time system considerations—often targeting low-latency, controllable synthesis rather than purely perceptual gains.
9 years of coding experience
7 years of employment as a software developer
Doctor of Science (Technology), Electrical Engineering, Speech and Language Technology, Doctor of Science (Technology), Electrical Engineering, Speech and Language Technology at Aalto UniversityBachelor of Science (BS), Signal Processing, Bachelor of Science (BS), Signal Processing at Aalto-yliopisto
Finnish, English, Swedish
Github Skills (28)
theano9
location9
merlin9
mojo8
keras8
speech-synthesis7
guitar7
text-to-speech7
deep-learning7
python7
tensorflow6
pytorch6
vocoder5
juce5
audio5
Programming languages (4)
Github contributions (5)
ljuvela/GELP
Jun 2019 - Apr 2021
Contributions:19 commits, 2 PRs, 11 pushes in 1 year 10 months
ljuvela/GlottDNN
Oct 2016 - Feb 2021
GlottDNN vocoder and tools for training DNN excitation models
Contributions:168 commits, 2 PRs, 5 pushes in 4 years 5 months
pytorchdeep-learningtrainingvocoderdnn
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