Cees Taal

Cees Taal

Cees' experience lies in the area of sensor data processing and analysis for a wide variety of applications including digital hearing instruments (audio, speech), IoT (temperature, proximity sensing) and wearable medical devices (accelerometry, electrography). He works at Quby, Amsterdam where he develops real-time algorithms for the Toon smart thermostat. Before Quby he was appointed as a research scientist with Philips Research, Eindhoven working in the field of biomedical signal processing. He has a Ph.D. degree in computer science from the Delft University of Technology and held Postdoc positions at the Royal Institute of Technology (KTH), Stockholm, Sweden and the Leiden University Medical Center, Leiden. In 2016 Cees received a best paper award from the IEEE signal processing society for one of his papers on predicting intelligibility from noisy processed speech signals.

Presentations

Smoothing your data with polynomial fitting: a signal processing perspective

Saturday 16:45–17:30 in Big Room

Subscribe to Receive PyData Updates

Subscribe

Tickets

Get Now