ISCA Archive Interspeech 2020
ISCA Archive Interspeech 2020

CSL-EMG_Array: An Open Access Corpus for EMG-to-Speech Conversion

Lorenz Diener, Mehrdad Roustay Vishkasougheh, Tanja Schultz

We present a new open access corpus for the training and evaluation of EMG-to-Speech conversion systems based on array electromyographic recordings. The corpus is recorded with a recording paradigm closely mirroring realistic EMG-to-Speech usage scenarios, and includes evaluation data recorded from both audible as well as silent speech. The corpus consists of 9.5 hours of data, split into 12 sessions recorded from 8 speakers. Based on this corpus, we present initial benchmark results with a realistic online EMG-to-Speech conversion use case, both for the audible and silent speech subsets. We also present a method for drastically improving EMG-to-Speech system stability and performance in the presence of time-related artifacts.

doi: 10.21437/Interspeech.2020-2859

Cite as: Diener, L., Vishkasougheh, M.R., Schultz, T. (2020) CSL-EMG_Array: An Open Access Corpus for EMG-to-Speech Conversion. Proc. Interspeech 2020, 3745-3749, doi: 10.21437/Interspeech.2020-2859

  author={Lorenz Diener and Mehrdad Roustay Vishkasougheh and Tanja Schultz},
  title={{CSL-EMG_Array: An Open Access Corpus for EMG-to-Speech Conversion}},
  booktitle={Proc. Interspeech 2020},