Frame-Based Phone Classification Using EMG Signals

Autor: Inge Salomons, Eder del Blanco, Eva Navas, Inma Hernáez, Xabier de Zuazo

Publikováno v: Applied Sciences, Vol 13, Iss 13, p 7746 (2023)

This paper evaluates the impact of inter-speaker and inter-session variability on the development of a silent speech interface (SSI) based on electromyographic (EMG) signals from the facial muscles. The final goal of the SSI is to provide a communica

Externí odkaz: https://doaj.org/article/801521f2f96240dd92438feb057c30ee

Future Speech Interfaces with Sensors and Machine Intelligence

Autor: Bruce Denby, Tamás Gábor Csapó, Michael Wand

Publikováno v: Sensors, Vol 23, Iss 4, p 1971 (2023)

Speech is the most spontaneous and natural means of communication. Speech is also becoming the preferred modality for interacting with mobile or fixed electronic devices. However, speech interfaces have drawbacks, including a lack of user privacy; no

Externí odkaz: https://doaj.org/article/50b7027657d642d59434b45b154d721e

Frame-Based Phone Classification Using EMG Signals

Autor: Zuazo, Inge Salomons, Eder del Blanco, Eva Navas, Inma Hernáez, Xabier de

Publikováno v: Applied Sciences; Volume 13; Issue 13; Pages: 7746

This paper evaluates the impact of inter-speaker and inter-session variability on the development of a silent speech interface (SSI) based on electromyographic (EMG) signals from the facial muscles. The final goal of the SSI is to provide a communica

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=multidiscipl::36d28ef93edec8938b2e99b0d8351916

Emerging ExG-based NUI Inputs in Extended Realities : A Bottom-up Survey

Autor: Lik Hang Lee, Kirill A. Shatilov, Dimitris Chatzopoulos, Pan Hui

Incremental and quantitative improvements of two-way interactions with e x tended realities (XR) are contributing toward a qualitative leap into a state of XR ecosystems being efficient, user-friendly, and widely adopted. However, there are multiple

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a96d4778d1a9b7dc32e15e7c584e2b1
http://hdl.handle.net/10138/339930

Silent versus modal multi-speaker speech recognition from ultrasound and video

Autor: Steve Renals, Korin Richmond, Aciel Eshky, Manuel Sam Ribeiro

Publikováno v: Ribeiro, M S, Eshky, A, Richmond, K & Renals, S 2021, Silent versus modal multi-speaker speech recognition from ultrasound and video . in 22nd Annual Conference of the International Speech Communication Association, INTERSPEECH 2021 . Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, pp. 641-645, Interspeech 2021, Brno, Czech Republic, 30/08/21 . https://doi.org/10.21437/Interspeech.2021-23

We investigate multi-speaker speech recognition from ultrasound images of the tongue and video images of the lips. We train our systems on imaging data from modal speech, and evaluate on matched test sets of two speaking modes: silent and modal speec

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c45cdd0287786ecaa2566a62abfc2422