Challenges Exist in Translating Brain Signals Into Words Using Brain-Computer Interfaces (BCIs)

Author:

Janapati Ravichander1,Reddy Sudula Sriram1,Anitha Gajji1,Shivani Rebelli1,Sreya Vempati1

Affiliation:

1. SR University, India

Abstract

The field of translating brain signals into words is rapidly developing and has great potential to improve the lives of those who have speech problems. Notwithstanding the encouraging developments, there are still many obstacles in this field to overcome, including the complexity and variety of brain signals, the requirement for big datasets, the intrusiveness of existing interfaces, and the desire to mimic the speed and fluidity of natural speech. This chapter explores these issues in general as well as current developments, such as the creation of a “speech neuroprosthesis.” These obstacles are gradually being removed by the ongoing study in this area, opening the door to a time when brain signals can be easily converted into language. Neuroscience and technology are at a fascinating and challenging stage in their quest to transform brain signals into speech. This procedure entails translating the intricate, multimodal cerebral signals produced by speech into understandable words by decoding them.

Publisher

IGI Global

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