Paper Title:Brain-Computer Interface Technology for Speech Recognition
Authors: Mashael M. AlSaleh Mahnaz Arvaneh Heidi Christensen and Roger K. Moore
This paper presents an overview of the studies that have been conducted with the purpose of understanding the use of brain signals as input to a speech recogniser. the paper gives an insight into some studies that examined the effect of the chosen stimuli on brain activities as an important factor in the recognition process. The remaining part of this paper lists the limitations of the available studies and the challenges for future work in this area.
Brain Computer Interface (BCI) is one of the promising technologies that has been examined as an alternative communication technology. Neuro muscular impairments prevent users from using most of the available communication aids, since they require some degree of muscle movement. This makes them unsuitable for people with severe disabilities who have limited movement in their muscles, such as people with locked-in syndrome. In more general circumstances it would be desirable to communicate only using brain activities,e.g., due to security issues.
In the literature, brain activity has been used for communication in two different ways: controlling spellers and capturing speech information. This review paper focuses on BCI studies related to speech. These studies mainly focus on the following objectives: a) understanding the
mechanism of spoken (i.e. overt) and unspoken (i.e. covert) speech production in the brain, b) recognising speech from covert speech using brain signals.This review covers two main parts.
Authors: Mashael M. AlSaleh Mahnaz Arvaneh Heidi Christensen and Roger K. Moore
This paper presents an overview of the studies that have been conducted with the purpose of understanding the use of brain signals as input to a speech recogniser. the paper gives an insight into some studies that examined the effect of the chosen stimuli on brain activities as an important factor in the recognition process. The remaining part of this paper lists the limitations of the available studies and the challenges for future work in this area.
Brain Computer Interface (BCI) is one of the promising technologies that has been examined as an alternative communication technology. Neuro muscular impairments prevent users from using most of the available communication aids, since they require some degree of muscle movement. This makes them unsuitable for people with severe disabilities who have limited movement in their muscles, such as people with locked-in syndrome. In more general circumstances it would be desirable to communicate only using brain activities,e.g., due to security issues.
In the literature, brain activity has been used for communication in two different ways: controlling spellers and capturing speech information. This review paper focuses on BCI studies related to speech. These studies mainly focus on the following objectives: a) understanding the
mechanism of spoken (i.e. overt) and unspoken (i.e. covert) speech production in the brain, b) recognising speech from covert speech using brain signals.This review covers two main parts.
As explained, high security is main advantage but it is not useful for physically challenged or a diabetic person.
ReplyDeleteYes,as this requires movement in muscles and we need to find some solution for this.
DeleteInteresting topic and nicely written review
ReplyDeleteThank u
Deletegood information on brain computer interface
ReplyDeleteThank you .
DeleteThat's a great application
ReplyDeleteThank you
DeleteTo make this useful for physically challenged or a diabetic person is a challenge for future progress.
ReplyDelete