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| Presentation | 2022-03-02 13:25 [Poster Presentation] Transformer-based Text Decoding using Electrocorticography Shuji Komeiji, Kai Shigemi (TUAT), Takumi Mitsuhashi, Yasushi Iimura, Hiroharu Suzuki, Hidenori Sugano (Juntendo Univ.), Koichi Shinoda (Tokyo Tech), Toshihisa Tanaka (TUAT)  EA2021-87 SIP2021-114 SP2021-72 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Invasive brain-machine interfaces (BMIs) are a promising neurotechnology for achieving direct speech communication from a human brain but face many challenges. This paper measured the invasive electrocorticogram (ECoG) signals from seven participating epilepsy patients as they spoke a sentence consisting of multiple phrases. A Transformer encoder was incorporated into a “sequence-to-sequence” model (Transformer Seq2seq) to decode spoken sentences from the ECoG. A Transformer is a successful neural network model for natural language processing and automatic speech recognition. The decoding test revealed that the use of the Transformer model achieved a minimum phrase error rate of 16.4% for one best participant; moreover, the median (±standard deviation) of PER for the Transformer Seq2seq across seven participants was31.3% (±10.0%). This result showed that the Transformer Seq2seq effectively decoded from ECoG. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Electrocorticography / Brain--machine interface / Transformer encoder / Sequence to sequence / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 384, SIP2021-114, pp. 146-151, March 2022. | |
| Paper # | SIP2021-114 | |
| Date of Issue | 2022-02-22 (EA, SIP, SP) | |
| ISSN | Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | EA2021-87 SIP2021-114 SP2021-72 |
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| Conference Information | |
| Committee | EA SIP SP IPSJ-SLP |
| Conference Date | 2022-03-01 - 2022-03-02 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | SIP |
| Conference Code | 2022-03-EA-SIP-SP-SLP |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Transformer-based Text Decoding using Electrocorticography |
| Sub Title (in English) | |
| Keyword(1) | Electrocorticography |
| Keyword(2) | Brain--machine interface |
| Keyword(3) | Transformer encoder |
| Keyword(4) | Sequence to sequence |
| Keyword(5) | |
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| 1st Author's Name | Shuji Komeiji |
| 1st Author's Affiliation | Tokyo University of Agriculture and Technology (TUAT) |
| 2nd Author's Name | Kai Shigemi |
| 2nd Author's Affiliation | Tokyo University of Agriculture and Technology (TUAT) |
| 3rd Author's Name | Takumi Mitsuhashi |
| 3rd Author's Affiliation | Juntendo University (Juntendo Univ.) |
| 4th Author's Name | Yasushi Iimura |
| 4th Author's Affiliation | Juntendo University (Juntendo Univ.) |
| 5th Author's Name | Hiroharu Suzuki |
| 5th Author's Affiliation | Juntendo University (Juntendo Univ.) |
| 6th Author's Name | Hidenori Sugano |
| 6th Author's Affiliation | Juntendo University (Juntendo Univ.) |
| 7th Author's Name | Koichi Shinoda |
| 7th Author's Affiliation | Tokyo Institute of Technology (Tokyo Tech) |
| 8th Author's Name | Toshihisa Tanaka |
| 8th Author's Affiliation | Tokyo University of Agriculture and Technology (TUAT) |
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| Speaker | Author-1 |
| Date Time | 2022-03-02 13:25:00 |
| Presentation Time | 120 minutes |
| Registration for | SIP |
| Paper # | EA2021-87, SIP2021-114, SP2021-72 |
| Volume (vol) | vol.121 |
| Number (no) | no.383(EA), no.384(SIP), no.385(SP) |
| Page | pp.146-151 |
| #Pages | 6 |
| Date of Issue | 2022-02-22 (EA, SIP, SP) |
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