University of Twente Student Theses


We Can "Hear" You With Radar

Kerkhof, Daan (2023) We Can "Hear" You With Radar.

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Abstract:Detecting speech with a radar has several benefits over a regular microphone, i.e., the radar is tolerant to ambient noise. In addition to this, a radar based microphone could locate the exact location of the speaker, which is not possible with a single microphone. In this thesis we study the implementation of detecting speech with a Frequency Modulated Continuous Wave (FMCW) radar. A spectrogram of a viseme is extracted using the Short Time Fourier Transform (STFT). These visemes are the input of a Convolutional meural Network (CNN), which can classify the visemes. Eventually, it was shown that there is uniqueness in the spectrograms of visemes. The proposed CNN has an accuracy of 70% in detecting the right visemes
Item Type:Essay (Bachelor)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:53 electrotechnology
Programme:Electrical Engineering BSc (56953)
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