Tamás Csapó
Researcher at BME Speech Technology and Smart Interactions Laboratory
Budapest, Hungary
Summary
👤
Senior🎓
Top SchoolTamás Csapó is a researcher with nine years of experience specializing in speech processing, articulatory research and text-to-speech synthesis, holding an MSc and PhD in Computer Science from Budapest University of Technology and Economics. Based in Budapest, he has been a long-term member of the BME Speech Technology and Smart Interactions Laboratory, with a formative visiting stint at Indiana University’s Speech Production Laboratory that deepened his experimental and interdisciplinary approach. His toolkit spans Matlab and Python, pattern recognition and deep learning, allowing him to bridge theoretical models and practical synthesis systems. Tamás’s work emphasizes articulatory insights in TTS, an underappreciated angle that informs more naturalistic speech modeling beyond purely data-driven methods.
9 years of coding experience
Master of Science (MSc) in Computer Science / Technical Informatics, computer science, next generation networks, text-to-speech synthesis, 5, Master of Science (MSc) in Computer Science / Technical Informatics, computer science, next generation networks, text-to-speech synthesis, 5 at Budapest University of Technology and Economics
English, German, French, Hungarian
Github Skills (38)
git-repo10
generative8
mri7
speech6
deep-learning6
pytorch6
inversion6
ultrasound5
synthesis5
speech-synthesis4
speech-recognition4
c-library3
machine-learning3
imaging2
speech-processing2
Programming languages (4)
Github contributions (5)
BME-SmartLab/speech2mri
Jan 2020 - Oct 2020
Acoustic-to-articulatory inversion using real-time MRI
Contributions:11 commits, 7 pushes, 1 comment in 8 months
inversionacousticmrireal-time
BME-SmartLab/UTI-to-STFT
Feb 2020 - Sep 2020
Ultrasound-based Articulatory-to-Acosutic Mapping with WaveGlow Speech Synthesis
Contributions:22 commits, 8 pushes in 6 months
waveglowsynthesisultrasoundspeech-synthesismapping
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