Session-Independent Array-Based EMG-to-Speech Conversion using Convolutional Neural Networks

Lorenz Diener; Gerrit Felsch; Miguel Angrick; Tanja Schultz

doi:None

Lorenz Diener, Gerrit Felsch, Miguel Angrick, Tanja Schultz

[pdf download] [isbn] [back to list] [halcy.de home]

Reference:

Session-Independent Array-Based EMG-to-Speech Conversion using Convolutional Neural Networks (Lorenz Diener, Gerrit Felsch, Miguel Angrick, Tanja Schultz), at 13th ITG Conference on Speech Communication, October 2018

Bibtex Entry:

@inproceedings{diener2018session,
  title        = {Session-Independent Array-Based EMG-to-Speech Conversion using Convolutional
    Neural Networks},
  author       = {Diener, Lorenz and Felsch, Gerrit and Angrick, Miguel and Schultz, Tanja},
  year         = 2018,
  month        = oct,
  booktitle    = {13th {ITG} Conference on Speech Communication},
  isbn         = {978-3-8007-4767-2},
  abstract     = {This paper presents an evaluation of the performance of EMG-to-Speech conversion
    based on convolutional neural networks. We present an analysis of two different architectures
    and network design considerations and evaluate CNN-based systems for their within-session and
    cross-session performance. We find that they are able to perform on par with feedforward neural
    networks when trained and evaluated on a single session and outperform them in cross session
    evaluations.},
  url          = {https://halcy.de/cites/pdf/diener2018session.pdf},
}