Research Assistant (master thesis worker): machine learning -based prediction of speech signal’s sound pressure level

The Department of Information and Communications Engineering at Aalto University carries out research and education in signals, machine learning, speech and audio technology, and human-centered information processing. In Professor Paavo Alku's research group, we develop methods and models for robust speech technologies, including applications in speech-based health assessment.

We are now looking for a paid

Research Assistant as master's thesis worker in Sound Pressure Level (SPL) Regression from Speech.

Are you excited about biomarking of human health based on acoustic cues embedded in speech signals and want your thesis to enable practical assessment from everyday speech recordings?

We are looking for a master’s thesis worker to study regression-based prediction of the sound pressure level (SPL; vocal intensity) of speech. SPL is conventionally measured with a sound level meter or by using calibrated recording...