TY - GEN
T1 - Domain-adversarial training for session independent EMG-based speech recognition
AU - Wand, Michael
AU - Schultz, Tanja
AU - Schmidhuber, Jürgen
N1 - Generated from Scopus record by KAUST IRTS on 2022-09-14
PY - 2018/1/1
Y1 - 2018/1/1
N2 - We present our research on continuous speech recognition based on Surface Electromyography (EMG), where speech information is captured by electrodes attached to the speaker's face. This method allows speech processing without requiring that an acoustic signal is present; however, reattachment of the EMG electrodes causes subtle changes in the recorded signal, which degrades the recognition accuracy and thus poses a major challenge for practical application of the system. Based on the growing body of recent work in domain-adversarial training of neural networks, we present a system which adapts the neural network frontend of our recognizer to data from a new recording session, without requiring supervised enrollment.
AB - We present our research on continuous speech recognition based on Surface Electromyography (EMG), where speech information is captured by electrodes attached to the speaker's face. This method allows speech processing without requiring that an acoustic signal is present; however, reattachment of the EMG electrodes causes subtle changes in the recorded signal, which degrades the recognition accuracy and thus poses a major challenge for practical application of the system. Based on the growing body of recent work in domain-adversarial training of neural networks, we present a system which adapts the neural network frontend of our recognizer to data from a new recording session, without requiring supervised enrollment.
UR - https://www.isca-speech.org/archive/interspeech_2018/wand18_interspeech.html
UR - http://www.scopus.com/inward/record.url?scp=85054987262&partnerID=8YFLogxK
U2 - 10.21437/Interspeech.2018-2318
DO - 10.21437/Interspeech.2018-2318
M3 - Conference contribution
SP - 3167
EP - 3171
BT - Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
PB - International Speech Communication Association4 Rue des Fauvettes - Lous [email protected]
ER -