Subvocal recognition (SVR) is the process of taking subvocalization and converting the detected results to a digital output, aural or text-based. [1] A silent speech interface is a device that allows speech communication without using the sound made when people vocalize their speech sounds. It works by the computer identifying the phonemes that an individual pronounces from nonauditory sources of information about their speech movements. These are then used to recreate the speech using speech synthesis. [2]
Silent speech interface systems have been created using ultrasound and optical camera input of tongue and lip movements. [3] Electromagnetic devices are another technique for tracking tongue and lip movements. [4]
The detection of speech movements by electromyography of speech articulator muscles and the larynx is another technique. [5] [6] Another source of information is the vocal tract resonance signals that get transmitted through bone conduction called non-audible murmurs. [7]
They have also been created as a brain–computer interface using brain activity in the motor cortex obtained from intracortical microelectrodes. [8]
Such devices are created as aids to those unable to create the sound phonation needed for audible speech such as after laryngectomies. [9] Another use is for communication when speech is masked by background noise or distorted by self-contained breathing apparatus. A further practical use is where a need exists for silent communication, such as when privacy is required in a public place, or hands-free data silent transmission is needed during a military or security operation. [3] [10]
In 2002, the Japanese company NTT DoCoMo announced it had created a silent mobile phone using electromyography and imaging of lip movement. The company stated that "the spur to developing such a phone was ridding public places of noise," adding that, "the technology is also expected to help people who have permanently lost their voice." [11] The feasibility of using silent speech interfaces for practical communication has since then been shown. [12]
In 2019, Arnav Kapur, a researcher from the Massachusetts Institute of Technology, conducted a study known as AlterEgo. Its implementation of the silent speech interface enables direct communication between the human brain and external devices through stimulation of the speech muscles. By leveraging neural signals associated with speech and language, the AlterEgo system deciphers the user's intended words and translates them into text or commands without the need for audible speech. [13]
With a grant from the U.S. Army, research into synthetic telepathy using subvocalization is taking place at the University of California, Irvine under lead scientist Mike D'Zmura. [14]
NASA's Ames Research Laboratory in Mountain View, California, under the supervision of Charles Jorgensen is conducting subvocalization research.[ citation needed ]
The Brain Computer Interface R&D program at Wadsworth Center under the New York State Department of Health has confirmed the existing ability to decipher consonants and vowels from imagined speech, which allows for brain-based communication using imagined speech., [15] however using EEGs instead of subvocalization techniques.
US Patents on silent communication technologies include: US Patent 6587729 "Apparatus for audibly communicating speech using the radio frequency hearing effect", [16] US Patent 5159703 "Silent subliminal presentation system", [17] US Patent 6011991 "Communication system and method including brain wave analysis and/or use of brain activity", [18] US Patent 3951134 "Apparatus and method for remotely monitoring and altering brain waves". [19] Latter two rely on brain wave analysis.
A universal translator is a device common to many science fiction works, especially on television. First described in Murray Leinster's 1945 novella "First Contact", the translator's purpose is to offer an instant translation of any language.
Cyberware is a relatively new and unknown field. In science fiction circles, however, it is commonly known to mean the hardware or machine parts implanted in the human body and acting as an interface between the central nervous system and the computers or machinery connected to it.
A brain–computer interface (BCI), sometimes called a brain–machine interface (BMI), is a direct communication link between the brain's electrical activity and an external device, most commonly a computer or robotic limb. BCIs are often directed at researching, mapping, assisting, augmenting, or repairing human cognitive or sensory-motor functions. They are often conceptualized as a human–machine interface that skips the intermediary of moving body parts (hands...), although they also raise the possibility of erasing the distinction between brain and machine. BCI implementations range from non-invasive and partially invasive to invasive, based on how physically close electrodes are to brain tissue.
Electromyography (EMG) is a technique for evaluating and recording the electrical activity produced by skeletal muscles. EMG is performed using an instrument called an electromyograph to produce a record called an electromyogram. An electromyograph detects the electric potential generated by muscle cells when these cells are electrically or neurologically activated. The signals can be analyzed to detect abnormalities, activation level, or recruitment order, or to analyze the biomechanics of human or animal movement. Needle EMG is an electrodiagnostic medicine technique commonly used by neurologists. Surface EMG is a non-medical procedure used to assess muscle activation by several professionals, including physiotherapists, kinesiologists and biomedical engineers. In computer science, EMG is also used as middleware in gesture recognition towards allowing the input of physical action to a computer as a form of human-computer interaction.
Subvocalization, or silent speech, is the internal speech typically made when reading; it provides the sound of the word as it is read. This is a natural process when reading, and it helps the mind to access meanings to comprehend and remember what is read, potentially reducing cognitive load.
Gesture recognition is an area of research and development in computer science and language technology concerned with the recognition and interpretation of human gestures. A subdiscipline of computer vision, it employs mathematical algorithms to interpret gestures.
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Mark N. Gasson is a British scientist and visiting research fellow at the Cybernetics Research Group, University of Reading, UK. He pioneered developments in direct neural interfaces between computer systems and the human nervous system, has developed brain–computer interfaces and is active in the research fields of human microchip implants, medical devices and digital identity. He is known for his experiments transmitting a computer virus into a human implant, and is credited with being the first human infected with a computer virus.
Human–computer interaction (HCI) is research in the design and the use of computer technology, which focuses on the interfaces between people (users) and computers. HCI researchers observe the ways humans interact with computers and design technologies that allow humans to interact with computers in novel ways. A device that allows interaction between human being and a computer is known as a "Human-computer Interface (HCI)".
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Imagined speech is thinking in the form of sound – "hearing" one's own voice silently to oneself, without the intentional movement of any extremities such as the lips, tongue, or hands. Logically, imagined speech has been possible since the emergence of language, however, the phenomenon is most associated with its investigation through signal processing and detection within electroencephalograph (EEG) data as well as data obtained using alternative non-invasive, brain–computer interface (BCI) devices.
Frank H. Guenther is an American computational and cognitive neuroscientist whose research focuses on the neural computations underlying speech, including characterization of the neural bases of communication disorders and development of brain–computer interfaces for communication restoration. He is currently a professor of speech, language, and hearing sciences and biomedical engineering at Boston University.
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Ingeborg J. Hochmair-Desoyer is an Austrian electrical engineer and the CEO and CTO of hearing implant company MED-EL. Dr Hochmair and her husband Prof. Erwin Hochmair co-created the first micro-electronic multi-channel cochlear implant in the world. She received the Lasker-DeBakey Clinical Medical Research Award for her contributions towards the development of the modern cochlear implant. She also received the 2015 Russ Prize for bioengineering.
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