Evidence map›Paper›PMID 37275343›Full record

ArticleFrontiers in human neuroscience2023

Linguistic representation of vowels in speech imagery EEG.

Tsuneo Nitta, Junsei Horikawa, Yurie Iribe, Ryo Taguchi, Kouichi Katsurada, Shuji Shinohara, Goh Kawai

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in human neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Tsuneo NittaGraduate School of Engineering, Toyohashi University of Technology, Toyohashi, Japan.
Junsei HorikawaGraduate School of Engineering, Toyohashi University of Technology, Toyohashi, Japan.
Yurie IribeGraduate School of Information Science and Technology, Aichi Prefectural University, Nagakute, Japan.
Ryo TaguchiGraduate School of Information, Nagoya Institute of Technology, Nagoya, Japan.
Kouichi KatsuradaFaculty of Science and Technology, Tokyo University of Science, Noda, Japan.
Shuji ShinoharaSchool of Science and Engineering, Tokyo Denki University, Saitama, Japan.
Goh KawaiOnline Learning Support Team, Tokyo University of Foreign Studies, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Speech imagery recognition from electroencephalograms (EEGs) could potentially become a strong contender among non-invasive brain-computer interfaces (BCIs). In this report, first we extract language representations as the difference of line-spectra of phones by statistically analyzing many EEG signals from the Broca area. Then we extract vowels by using iterative search from hand-labeled short-syllable data. The iterative search process consists of principal component analysis (PCA) that visualizes linguistic representation of vowels through eigen-vectors φ(m), and subspace method (SM) that searches an optimum line-spectrum for redesigning φ(m). The extracted linguistic representation of Japanese vowels /i/ /e/ /a/ /o/ /u/ shows 2 distinguished spectral peaks (P1, P2) in the upper frequency range. The 5 vowels are aligned on the P1-P2 chart. A 5-vowel recognition experiment using a data set of 5 subjects and a convolutional neural network (CNN) classifier gave a mean accuracy rate of 72.6%.

Indexed as

EEGlabeling syllableslinguistic representationspeech imageryvowels

Identifiers

PMID37275343
PMCPMC10237317

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.