Comparing the Effects of Dry, Water and Gel-Based Electrodes on EEG-Based Overt Speech Classification
Author:
Affiliation:
1. Cognitive Assistants German Research Center for Artificial Intelligence (DFKI),Saarbrücken,Germany
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10405419/10405547/10405744.pdf?arnumber=10405744
Reference19 articles.
1. Comparing speech recognition systems (microsoft api, google api and cmu sphinx);Bohouta;Int. Journal of Engineering Research and Application,2017
2. Decoding Imagined, Heard, and Spoken Speech: Classification and Regression of EEG Using a 14-Channel Dry-Contact Mobile Headset
3. Exceeding chance level by chance: The caveat of theoretical chance levels in brain signal classification and statistical assessment of decoding accuracy
4. Development of Low-Contact-Impedance Dry Electrodes for Electroencephalogram Signal Acquisition
5. Muscle Activity for Jaw Closing during Speech
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