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| Autore: |
Wand Michael
|
| Titolo: |
Advancing Electromyographic Continuous Speech Recognition: Signal Preprocessing and Modeling
|
| Pubblicazione: | KIT Scientific Publishing, 2014 |
| Descrizione fisica: | 1 online resource (XVIII, 226 p. p.) |
| Soggetto non controllato: | Biosignale |
| Biosignals | |
| Electromyography | |
| Elektromyographie | |
| Silent Speech Interfaces | |
| Speech Recognition | |
| Spracherkennung | |
| Sommario/riassunto: | 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. |
| Altri titoli varianti: | Advancing Electromyographic Continuous Speech Recognition |
| Titolo autorizzato: | Advancing Electromyographic Continuous Speech Recognition: Signal Preprocessing and Modeling ![]() |
| ISBN: | 1000040667 |
| Formato: | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910347052403321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |