For some time, new methods based on a different than acoustic signal analysis are used for speech recognition. The purpose of nonacoustic signals is to allow silent communication. One of these methods based on the electromyography signal is generated by the human speech articulation system. This article presents a device for electromyographic (EMG) signal acquisition and the first measurements from its use
This thesis concerns the task of turning silently mouthed words into audible speech. By using senso...
face is a system which recognizes speech by capturing the electric potentials of the human articulat...
In current years, the application of biopotential signals has received a lot of attention in literat...
Speech is the natural medium of human communication, but audible speech can be overheard by bystande...
This paper discusses the use of surface electromyography for automatic speech recognition. Electromy...
Abstract: An electromygraphic (EMG) Silent Speech Interface is a system which recognizes speech by c...
Research interest in speech interfaces that can function even when an audible acoustic signal is not...
With 7.5 million people unable to speak due to various physical and mental conditions, patients are ...
Abstract—This paper presents the results of our research in silent speech recognition (SSR) using Su...
We present our recent advances in silent speech interfaces using electromyographic signals that capt...
This research examines the evaluation of fSEMG (facial surface Electromyogram) for recognizing speec...
Facial electromyography recordings during both silent and vocalized speech. This data is described ...
Abstract: Electro-larynx speech (EL) is a possibility to re-obtain speech when the larynx is surgica...
This thesis describes the implementation of an automatic speech recognition system based on surface ...
This paper presents results of electromyography (EMG) speech recognition which captures the electric...
This thesis concerns the task of turning silently mouthed words into audible speech. By using senso...
face is a system which recognizes speech by capturing the electric potentials of the human articulat...
In current years, the application of biopotential signals has received a lot of attention in literat...
Speech is the natural medium of human communication, but audible speech can be overheard by bystande...
This paper discusses the use of surface electromyography for automatic speech recognition. Electromy...
Abstract: An electromygraphic (EMG) Silent Speech Interface is a system which recognizes speech by c...
Research interest in speech interfaces that can function even when an audible acoustic signal is not...
With 7.5 million people unable to speak due to various physical and mental conditions, patients are ...
Abstract—This paper presents the results of our research in silent speech recognition (SSR) using Su...
We present our recent advances in silent speech interfaces using electromyographic signals that capt...
This research examines the evaluation of fSEMG (facial surface Electromyogram) for recognizing speec...
Facial electromyography recordings during both silent and vocalized speech. This data is described ...
Abstract: Electro-larynx speech (EL) is a possibility to re-obtain speech when the larynx is surgica...
This thesis describes the implementation of an automatic speech recognition system based on surface ...
This paper presents results of electromyography (EMG) speech recognition which captures the electric...
This thesis concerns the task of turning silently mouthed words into audible speech. By using senso...
face is a system which recognizes speech by capturing the electric potentials of the human articulat...
In current years, the application of biopotential signals has received a lot of attention in literat...