Key considerations in designing a speech brain-computer interface

Area of Science:

• Neurotechnology
• Speech Science
• Computational Neuroscience

Background:

• Aphasia significantly impairs communication, posing a challenge for neurotechnological solutions.
• Brain-computer interfaces (BCIs) offer a potential pathway for restoring speech through artificial synthesis.
• Current speech BCIs are nascent, necessitating strategic design choices.

Purpose of the Study:

• To outline key considerations for designing speech BCIs.
• To review current knowledge on neural correlates of speech production.
• To explore challenges in decoding speech signals for synthesis.

Main Methods:

• Review of functional neuroanatomy of speech production (overt and covert).
• Analysis of literature on brain recording techniques for speech signal decoding.
• Examination of speech synthesis approaches based on decoded speech representations (phonetic, acoustic, articulatory).

Main Results:

• Identification of critical design choices for speech BCIs: brain region selection, recording technique, and decoding/synthesis methods.
• Understanding the neuroanatomical basis of speech is crucial for targeted neural signal acquisition.
• Diverse brain recording techniques offer varying capabilities for capturing speech-related neural activity.

Conclusions:

• Successful speech BCIs depend on integrating neuroanatomy, advanced recording, and sophisticated decoding/synthesis.
• Future research should focus on optimizing these interconnected components for effective communication restoration.
• The development of speech BCIs requires a multidisciplinary approach encompassing neuroscience, engineering, and linguistics.