Advancing Electromyographic Continuous Speech Recognition: Signal Preprocessing and Modeling
Overview & Synopsis
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.
Indexed from repository: Directory of Open Access Books
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www.doabooks.org)
Document Information
| Document Title | Advancing Electromyographic Continuous Speech Recognition: Signal Preprocessing and Modeling |
|---|---|
| Author / Organization | Wand, Michael |
| Subject & Discipline | QA75.5-76.95 |
| Categories | Open Access Books |
| Publication Year | 2021 |
| License / Rights | Open Access / Creative Commons |
| Resource Verification | Listed PDF (Verification Pending) |
| Original Host Website |
Directory of Open Access Books
(www.doabooks.org)
|
| File Format | application/pdf (Portable Document Format) |
| Language | EN |
| Catalog ID | DOC-98032 |
| Original Source Link | Visit Source Page on www.doabooks.org » |