Conception and Development of Machine Learning Approaches to Classify Acoustic Sources (BA/SA/MA)

The TUM central institute for agricultural sciences - Hans Eisenmann-Forum (HEF) - is looking for a student to develop and evaluate different machine learning approaches to classify acoustic sources in environmental monitoring. Tasks: Analyzing critical parameters and requirements of acoustic signals in outdoor conditions Research and comparison on existing approaches Pre-processing of acoustic...