Research
Current
Spectrum Sensing (since 01/2024)
This research project focuses on the development of an automatic classification system for radio transmissions based on software defined radio (SDR) and machine learning.
BESS-KI (11/2023 — 6/2025)
The aim of this project is to support the BESS, a language assessment test for pre-school children, with methods of automatic speech and language processing.
Detection of Wood Rot using Machine Learning (since 01/2023)
The aim of this project is to reduce the workload in sawmills by automatically detecting wood rot on the cross-section of wooden logs using computer vision models.
Semmeldetector (since 06/2022)
The aim of the Semmeldetector is to increase resource efficiency in commercial bakeries by automatically tracking unsold products using computer vision models.
NNFuze (since 06/2021)
This project focuses on memory and computational optimization of neural networks for use on embedded systems and addresses the question of how different neural networks can be replaced by or merged to create a single network.
Voice Transformation (since 06/2021)
The aim of this project is to improve the intelligibility and naturalness of the voices of laryngectomy patients based on whispered speech by leveraging the advances made in the field of generative models.
Spirio Sessions (since 6/2020)
Can artificial intelligence collaborate with humans in creative processes at the same level? What would this collaboration look like? These complex questions form the basis for the research conducted by academics at Nuremberg Tech and Nuremberg University of Music as part of an interdisciplinary project funded by LEONARDO - Center for Creativity and Innovation.
Dementia Detection (since 7/2021)
This project has two main goals: the investigation of (deep) speech markers in machine learning for the assessment of dementia and the automatic speech-based evaluation and digitization of cognitive tests.
Past
ISAKI (4/2021 — 12/2023)
This project focuses on anomaly detection in critical infrastructures, such as water supply networks. By integrating various data sources, the system aims to improve situational awareness, enabling timely decision-making and resilience against various external threats. (Image: Adobe Stock / #201540971)
