Speech Neuroprosthetics
Cross-source consensus on Speech Neuroprosthetics from 1 sources and 9 claims.
1 sources · 9 claims
Uses
How it works
Preparation
Background
Highlighted claims
- Speech neuroprosthetics aim to restore communication by decoding neural signals involved in attempted speech into expressive outputs. — Speech, Language, and Brain Interfaces
- The basic speech neuroprosthetic strategy records speech-related cortical activity during attempted speech and uses machine-learning algorithms to decode intended speech. — Speech, Language, and Brain Interfaces
- The first Bravo participant had been paralyzed for 15 years after a car accident and later brain stem stroke. — Speech, Language, and Brain Interfaces
- The implanted system placed electrode arrays over cortical areas controlling the vocal tract, including the larynx, lips, tongue, and jaw. — Speech, Language, and Brain Interfaces
- The first decoding system used a 50-word vocabulary to build a computational language model of possible sentences. — Speech, Language, and Brain Interfaces
- The Bravo clinical trial applies attempted-speech decoding to people with severe paralysis. — Speech, Language, and Brain Interfaces
- Speech neuroprosthetic decoding relied on analog-to-digital conversion and machine-learning analysis of subtle neural patterns. — Speech, Language, and Brain Interfaces
- Autocorrect-like language modeling was necessary because neural decoding was imperfect. — Speech, Language, and Brain Interfaces
- Training the speech decoder took weeks and involved prompting the participant to attempt specific words. — Speech, Language, and Brain Interfaces