Online speech synthesis using a chronically implanted brain–computer interface in an individual with ALS Article Swipe
Miguel Angrick
,
Shiyu Luo
,
Qinwan Rabbani
,
Daniel N. Candrea
,
Samyak Shah
,
Griffin Milsap
,
William S. Anderson
,
Chad R. Gordon
,
Kathryn Rosenblatt
,
Lora Clawson
,
Donna Tippett
,
Nicholas J. Maragakis
,
Francesco V. Tenore
,
Matthew S. Fifer
,
Hynek Heřmanský
,
Nick F. Ramsey
,
Nathan E. Crone
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1038/s41598-024-60277-2
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1038/s41598-024-60277-2
Brain–computer interfaces (BCIs) that reconstruct and synthesize speech using brain activity recorded with intracranial electrodes may pave the way toward novel communication interfaces for people who have lost their ability to speak, or who are at high risk of losing this ability, due to neurological disorders. Here, we report online synthesis of intelligible words using a chronically implanted brain-computer interface (BCI) in a man with impaired articulation due to ALS, participating in a clinical trial (ClinicalTrials.gov, NCT03567213) exploring different strategies for BCI communication. The 3-stage approach reported here relies on recurrent neural networks to identify, decode and synthesize speech from electrocorticographic (ECoG) signals acquired across motor, premotor and somatosensory cortices. We demonstrate a reliable BCI that synthesizes commands freely chosen and spoken by the participant from a vocabulary of 6 keywords previously used for decoding commands to control a communication board. Evaluation of the intelligibility of the synthesized speech indicates that 80% of the words can be correctly recognized by human listeners. Our results show that a speech-impaired individual with ALS can use a chronically implanted BCI to reliably produce synthesized words while preserving the participant’s voice profile, and provide further evidence for the stability of ECoG for speech-based BCIs.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1038/s41598-024-60277-2
- https://www.nature.com/articles/s41598-024-60277-2.pdf
- OA Status
- gold
- Cited By
- 58
- References
- 66
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4395666645
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4395666645Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1038/s41598-024-60277-2Digital Object Identifier
- Title
-
Online speech synthesis using a chronically implanted brain–computer interface in an individual with ALSWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-04-26Full publication date if available
- Authors
-
Miguel Angrick, Shiyu Luo, Qinwan Rabbani, Daniel N. Candrea, Samyak Shah, Griffin Milsap, William S. Anderson, Chad R. Gordon, Kathryn Rosenblatt, Lora Clawson, Donna Tippett, Nicholas J. Maragakis, Francesco V. Tenore, Matthew S. Fifer, Hynek Heřmanský, Nick F. Ramsey, Nathan E. CroneList of authors in order
- Landing page
-
https://doi.org/10.1038/s41598-024-60277-2Publisher landing page
- PDF URL
-
https://www.nature.com/articles/s41598-024-60277-2.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.nature.com/articles/s41598-024-60277-2.pdfDirect OA link when available
- Concepts
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Brain–computer interface, Computer science, Speech recognition, Interface (matter), Aphasia, Human–computer interaction, Electroencephalography, Neuroscience, Psychology, Bubble, Parallel computing, Maximum bubble pressure methodTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
58Total citation count in OpenAlex
- Citations by year (recent)
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2025: 44, 2024: 13, 2023: 1Per-year citation counts (last 5 years)
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-
66Number of works referenced by this work
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-
10Other works algorithmically related by OpenAlex
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