Master Thesis – Identification and compensation of acoustical environments using the loudspeaker to microphone signal path
Core
Develop algorithms to identify and compensate for acoustic environments using a loudspeaker-to-microphone signal path to improve perceived audio quality.
Role type
Master Thesis Researcher (Signal Processing/Acoustics)
Builds
Acoustic environment identification and compensation algorithms for network audio speakers
Domain
Audio technology, signal processing, embedded systems
Deliverable
production ML models
Required skills
signal processing, acoustics, embedded firmware development, audio technology
Preferred skills
Computer Science, Electronics Engineering, Mathematics, Physical Sciences
Technologies
log-sweep, continuous noise, audio devices, microphones, loudspeakers
Responsibilities
Determine methods to measure acoustic environment using built-in microphone and loudspeaker; Investigate optimal stimuli types for environment determination; Develop strategies to improve perceived sound quality based on environmental measurements
