Literature DB >> 20863739

Isolated word recognition of silent speech using magnetic implants and sensors.

J M Gilbert1, S I Rybchenko, R Hofe, S R Ell, M J Fagan, R K Moore, P Green.   

Abstract

There are a number of situations where individuals wish to communicate verbally but are unable to use conventional means-so called 'silent speech'. These include speakers in noisy and covert situations as well as patients who have lost their voice as a result of a laryngectomy or similar procedure. This paper focuses on those who are unable to speak following a laryngectomy and assesses the possibility of speech recognition based on a magnetic implant/sensors system. Permanent magnets are placed on the tongue and lips and the changes in magnetic field resulting from movement during speech are monitored using a set of magnetic sensors. The sensor signals are compared to sets of pre-recorded templates using the dynamic time warping (DTW) method, and the best match is identified. Experimental trials are reported for subjects with intact larynx, typically using 500-1000 utterances used for speaker dependant training and testing. It is shown that recognition rates of over 90% are achievable for vocabularies of at least 57 isolated words: sufficient to drive command-and-control applications.
Copyright © 2010 IPEM. Published by Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 20863739     DOI: 10.1016/j.medengphy.2010.08.011

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  6 in total

1.  Towards Contactless Silent Speech Recognition Based on Detection of Active and Visible Articulators Using IR-UWB Radar.

Authors:  Young Hoon Shin; Jiwon Seo
Journal:  Sensors (Basel)       Date:  2016-10-29       Impact factor: 3.576

Review 2.  The electrolarynx: voice restoration after total laryngectomy.

Authors:  Rachel Kaye; Christopher G Tang; Catherine F Sinclair
Journal:  Med Devices (Auckl)       Date:  2017-06-21

3.  Template-Based Recognition of Human Locomotion in IMU Sensor Data Using Dynamic Time Warping.

Authors:  Kim S Sczuka; Marc Schneider; Alan K Bourke; Sabato Mellone; Ngaire Kerse; Jorunn L Helbostad; Clemens Becker; Jochen Klenk
Journal:  Sensors (Basel)       Date:  2021-04-07       Impact factor: 3.576

4.  Decoding lip language using triboelectric sensors with deep learning.

Authors:  Yijia Lu; Han Tian; Jia Cheng; Fei Zhu; Bin Liu; Shanshan Wei; Linhong Ji; Zhong Lin Wang
Journal:  Nat Commun       Date:  2022-03-17       Impact factor: 14.919

Review 5.  Neurolinguistics Research Advancing Development of a Direct-Speech Brain-Computer Interface.

Authors:  Ciaran Cooney; Raffaella Folli; Damien Coyle
Journal:  iScience       Date:  2018-09-22

6.  Silent speech command word recognition using stepped frequency continuous wave radar.

Authors:  Christoph Wagner; Petr Schaffer; Pouriya Amini Digehsara; Michael Bärhold; Dirk Plettemeier; Peter Birkholz
Journal:  Sci Rep       Date:  2022-03-09       Impact factor: 4.379

  6 in total

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