Speech is the natural medium of human communication, but audible speech can be overheard by bystanders and excludes speech-disabled people. This work presents a speech recognizer based on surface electromyography, where electric potentials of the facial muscles are captured by surface electrodes, allowing speech to be processed nonacoustically. A system which was state-of-the-art at the beginning of this book is substantially improved in terms of accuracy, flexibility, and robustness.
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Wand, M. 2015. Advancing Electromyographic Continuous Speech Recognition: Signal Preprocessing and Modeling. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000040667
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Veröffentlicht am 4. Februar 2015