HIGHLIGHTS
- who: IJECE from the Department of Computer Science, University of Technology have published the paper: International Journal of Electrical and Computer Engineering (IJECE), in the Journal: (JOURNAL) of Jul/27,/2021
- what: In this study a system for human-robot interaction (HRI) is proposed to detect the in speech utterances without depending on the text.
- how: Their features were evaluated using non-linear classifiers which are random forest (RF) artificial neural_networks (ANNs) and deep neural_networks (DNNs). In this study the pyttsx3 library has been used for TTS synthesis as a robot's speech . . .

If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.