Success in recognizing digits and monosyllables with high accurary from brain activity measurement

April 18, 2017
Collection of EEG data. Credit: Toyohashi University of Technology

A Japanese research collaborative has developed a technology that can recognize the numbers zero to nine with 90 percent accuracy using electroencephalogram (EEG) readings while the subject utters the numbers. Furthermore, the technology can also recognize 18 types of Japanese monosyllables from EEG signals with 60 percent accuracy, demonstrating the possibility of an EEG-activated typewriter in the near future.

The details of this research will be presented at Interspeech 2017 held in Stockholm in August.

The research group collected EEG data of subjects speaking Japanese digits and monosyllables. Using this data, the group conducted digit and monosyllable experiments. Up until now, speech decoding via EEG signals has been inhibited by a lack of data to allow the use of powerful algorithms based on deep learning or other types of machine learning. The research group has developed a different research framework that can achieve high performance with a small training dataset. The new framework is based on holistic pattern recognition using category theory, or composite mapping, in which a dual space and a tensor space including exterior algebra are introduced.

In the experiment of spoken-digit recognition from EEG signals, 90 percent recognition was achieved. At the same time, 61 percent accuracy in 18 Japanese monosyllable recognition was achieved, outperforming previous research efforts. Humans have sufficient intelligibility of sentences with an 80 percent monosyllable recognition rate.

The activated brain region differs according to the syllable when observing spatial-feature patterns. Credit: Toyohashi University of Technology

Emeritus Professor Nitta and his group aim to develop a brain computer interface that recognizes unvoiced speech, or speech imagery. This may enable handicapped people who have lost the ability of voice communication to speak once again. It is also expected that the technology would give a healthy person the most natural interface without any limitations.

Furthermore, the research group plans to develop a device that can be easily operated with fewer electrodes and connected to smartphones within the next five years.

Shift in brain activity (10 syllable average for 8 subjects). Credit: Toyohashi University of Technology

Explore further: Speech recognition faster at texting

Related Stories

Speech recognition faster at texting

August 25, 2016

Smartphone speech recognition software gets a bad rap. Most users find the nascent technology to be frustratingly slow, and there are entire blogs dedicated to documenting examples of its biggest – and sometimes hilarious ...

NTechLab focusing on AI facial recognition capabilities

October 12, 2016

(Tech Xplore)—How far have technology experts gone in achieving software for facial recognition? Moscow-based NTechLab is a group that focuses on AI intelligence algorithms, and they have gone far. The company is made up ...

Speech recognition from brain activity

June 16, 2015

Speech is produced in the human cerebral cortex. Brain waves associated with speech processes can be directly recorded with electrodes located on the surface of the cortex. It has now been shown for the first time that is ...

Recommended for you

A not-quite-random walk demystifies the algorithm

December 15, 2017

The algorithm is having a cultural moment. Originally a math and computer science term, algorithms are now used to account for everything from military drone strikes and financial market forecasts to Google search results.

US faces moment of truth on 'net neutrality'

December 14, 2017

The acrimonious battle over "net neutrality" in America comes to a head Thursday with a US agency set to vote to roll back rules enacted two years earlier aimed at preventing a "two-speed" internet.

FCC votes along party lines to end 'net neutrality' (Update)

December 14, 2017

The Federal Communications Commission repealed the Obama-era "net neutrality" rules Thursday, giving internet service providers like Verizon, Comcast and AT&T a free hand to slow or block websites and apps as they see fit ...

The wet road to fast and stable batteries

December 14, 2017

An international team of scientists—including several researchers from the U.S. Department of Energy's (DOE) Argonne National Laboratory—has discovered an anode battery material with superfast charging and stable operation ...

0 comments

Please sign in to add a comment. Registration is free, and takes less than a minute. Read more

Click here to reset your password.
Sign in to get notified via email when new comments are made.