Jonathan’s presentation focused on microphone arrays that use beamforming to enhance their output signal by manipulating and combining the individual sensor signals. He analyzed an algorithmic and machine learning approach for different microphone array configurations. Under laboratory conditions and in practical applications, he examined the tracking performance, which he also made audible to the audience through several audio examples. For more complex applications, he developed a neural network beamforming approach. Jonathan explained the basic network architecture and highlighted advantages of this method. In addition, various aspects of the usability of the approaches in different applications were emphasized.
We thank Jonathan for a very impressive talk with a professional and well understandable presentation of this complex topic. We wish him all the best for his PhD defense.
A recording of the presentation is available on YouTube.