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

Conference: Speech Communication - 13. ITG-Fachtagung Sprachkommunikation
10/10/2018 - 10/12/2018 at Oldenburg, Deutschland

Proceedings: Speech Communication

Pages: 5Language: englishTyp: PDF

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Authors:
Diener, Lorenz; Felsch, Gerrit; Angrick, Miguel; Schultz, Tanja (Cognitive Systems Lab, University of Bremen, Bremen, Germany)

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.