University of Twente Student Theses
We Can "Hear" You With Radar
Kerkhof, Daan (2023) We Can "Hear" You With Radar.
|
PDF
3MB |
| 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) |
| Link to this item: | https://purl.utwente.nl/essays/96473 |
| Export this item as: | BibTeX EndNote HTML Citation Reference Manager |
Show download statistics for this publication
Show download statistics for this publicationRepository Staff Only: item control page