Silent speech interfaces
By B. Denby, Tanja Schultz, K. Honda, Thomas Hueber, James M. Gilbert, J. Brumberg. Speech Communication, 2010
530 citations recorded by the source corpus.
The possibility of speech processing in the absence of an intelligible acoustic signal has given rise to the idea of a 'silent speech' interface, to be used as an aid for the speech-handicapped, or as part of a communications system operating in silence-required or high-background-noise environments. The article first outlines the emergence of the silent speech interface from the fields of speech production, automatic speech processing, speech pathology research, and telecommunications privacy issues, and then follows with a presentation of demonstrator systems based on seven different types of technologies. A concluding section underlining some of the common challenges faced by silent speech interface researchers, and ideas for possible future directions, is also provided.
Subfields: Cognitive Neuroscience, Human-Computer Interaction, Signal Processing
View Paper: https://www.semanticscholar.org/paper/916fae99b767641511e4c62e1838b35185621767
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- J. Urgen Schmidhuber
- Jan Koutník
- Zheng-Hua Tan
- Daniel Michelsanti
- Dong Yu
- Yong Xu
- Shi-Xiong Zhang
- Meng Yu
In Human-Computer Interaction
In Signal Processing
- Dong Yu
- Jinyu Li
- Zheng-Hua Tan
- Shinji Watanabe
- J. Urgen Schmidhuber
- Yong Xu
- Shi-Xiong Zhang
- Jesper Højvang Jensen
Citations in the corpus
- Lipreading with long short-term memory (2016, background): “Silent Speech technology has a large number of applications: It allows persons with certain speech impairments (e.g. laryngectomees, whose voice box ( larynx ) has been removed) to communicate, as well as enabling confidential and undisturbing communication in public places [18].”
- An Overview of Deep-Learning-Based Audio-Visual Speech Enhancement and Separation (2020, background): “Although some attempts were made to reconstruct intelligible speech from silent articulations captured with several sensors6 [50], [105], [127], [135], Le Cornu and Milner [148] were the first to employ a neural network using only the silent video of a speaker’s frontal face.”
- Brain-Machine Interfaces: From Basic Science to Neuroprostheses and Neurorehabilitation. (2017, unknown): “These include spelling devices (10, 71, 101, 117, 132, 438, 559, 608, 619, 672, 876, 882), speech generators (190, 326, 549), BMIs for control of a humanoid robot (55, 103, 120, 138, 301), telepresence systems (130, 223, 804), BMI-controlled wheelchairs (121, LEBEDEV AND NICOLELIS”