Jakub Gałka

Jakub Gałka serves as an Associated Part-time Lecturer at the Institute of Electronics, AGH University of Kraków, where he leads research in digital signal processing, machine learning, and deep learning for speech/audio applications. His dual career bridges academia and industry through co-founding Techmo sp. z o.o.—a voice technology commercialization spin-off—and providing R&D consultancy to multiple tech firms, driving innovation in voice biometrics and spoken dialogue systems.

His research integrates wavelet analysis with modern deep learning techniques to solve real-world challenges in cross-gender voice conversion, speaker identification, and sign language processing. Key focus areas include audio security (replay attack detection), multimodal human action recognition, and accessibility technologies for the deaf community, demonstrating consistent translational impact from theoretical signal processing to market-ready solutions.

Analysis of his recent publications reveals a strategic shift toward deep adversarial learning for voice conversion and robust biometric security systems, while maintaining foundational work in wavelet-Fourier transform compositions. His output consistently targets applied outcomes, particularly in commercial voice technologies and assistive systems for sign language processing.

Scientific recognition includes:

• Graduate of Stanford University’s selective Top 500 Innovators internship program

As an academic-industry liaison, Gałka mentors students through Techmo collaborations and directs R&D projects spanning voice authentication, music processing, and emergency call center speaker identification. His grant portfolio includes national and international initiatives focused on voice biometrics commercialization and sign language technology development.

He actively contributes to the Signal Processing Group at AGH University, fostering partnerships that transform academic research—particularly in speech segmentation and neural network architectures—into deployable voice solutions for corporate and healthcare applications.