Zobrazeno 1 - 10 of 124 pro vyhledávání: '"Stephen R. Ell"'
1
Direct Speech Reconstruction From Articulatory Sensor Data by Machine Learning
Autor: Lam Aun Cheah, Stephen R. Ell, Roger K. Moore, James M. Gilbert, Ed Holdsworth, José A. González, Angel M. Gomez, Phil D. Green
Publikováno v: IEEE/ACM Transactions on Audio, Speech, and Language Processing. 25:2362-2374
This paper describes a technique that generates speech acoustics from articulator movements. Our motivation is to help people who can no longer speak following laryngectomy, a procedure that is carried out tens of thousands of times per year in the W
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4e893d5f3fdee1f3e9c43f8f7cbb591b
https://doi.org/10.1109/taslp.2017.2757263
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2
Restoring speech following total removal of the larynx by a learned transformation from sensor data to acoustics
Autor: James M. Gilbert, Ed Holdsworth, José A. González, Roger K. Moore, Lam Aun Cheah, Phil D. Green, Stephen R. Ell
Publikováno v: The Journal of the Acoustical Society of America. 141:EL307-EL313
Total removal of the larynx may be required to treat laryngeal cancer: speech is lost. This article shows that it may be possible to restore speech by sensing movement of the remaining speech articulators and use machine learning algorithms to derive
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19bb4512157430541723e052a8ce9bca
https://doi.org/10.1121/1.4978364
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3
A silent speech system based on permanent magnet articulography and direct synthesis
Autor: Lam Aun Cheah, Jie Bai, Roger K. Moore, Stephen R. Ell, Phil D. Green, James M. Gilbert, José A. González
Publikováno v: Computer Speech & Language. 39:67-87
HighlightsThis paper introduces a 'Silent Speech Interface' with the potential to restore the power of speech to people who have completely lost their voices.Small, unobtrusive magnets are attached to the lips and tongues and changes in magnetic fiel
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9d7b3f5fa7a6ca9c16f91fbcbba34291
https://doi.org/10.1016/j.csl.2016.02.002
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6
Restoring Speech Following Total Removal of the Larynx
Autor: Jose A, Gonzalez, Lam A, Cheah, Phil D, Green, James M, Gilbert, Stephen R, Ell, Roger K, Moore, Ed, Holdsworth
Publikováno v: Studies in health technology and informatics. 242
By speech articulator movement and training a transformation to audio we can restore the power of speech to someone who has lost their larynx. We sense changes in magnetic field caused by movements of small magnets attached to the lips and tongue. Th
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::286ecf1d88e75c2c6d4d9c3ede67eeff
https://pubmed.ncbi.nlm.nih.gov/28873816
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7
Evaluation of a Silent Speech Interface Based on Magnetic Sensing and Deep Learning for a Phonetically Rich Vocabulary
Autor: José A. González, Roger K. Moore, Stephen R. Ell, Ed Holdsworth, James M. Gilbert, Lam Aun Cheah, Phil D. Green
Publikováno v: INTERSPEECH
To help people who have lost their voice following total laryngectomy, we present a speech restoration system that produces audible speech from articulator movement. The speech articulators are monitored by sensing changes in magnetic field caused by
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6d2a9d159d0265e590235be6964a4d66
https://doi.org/10.21437/interspeech.2017-802
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8
Voice Restoration After Laryngectomy Based on Magnetic Sensing of Articulator Movement and Statistical Articulation-to-Speech Conversion
Autor: José A. González, James M. Gilbert, Jie Bai, Phil D. Green, Lam Aun Cheah, Stephen R. Ell, Roger K. Moore
Publikováno v: Biomedical Engineering Systems and Technologies ISBN: 9783319547169
BIOSTEC (Selected Papers)
In this work, we present a silent speech system that is able to generate audible speech from captured movement of speech articulators. Our goal is to help laryngectomy patients, i.e. patients who have lost the ability to speak following surgical remo
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a3a39f3a0e3984b81879dd32a8100500
https://doi.org/10.1007/978-3-319-54717-6_17
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9
Towards an Intraoral-Based Silent Speech Restoration System for Post-laryngectomy Voice Replacement
Autor: Roger K. Moore, James M. Gilbert, Stephen R. Ell, Phil D. Green, Lam Aun Cheah, Jie Bai, José A. González
Publikováno v: Biomedical Engineering Systems and Technologies ISBN: 9783319547169
BIOSTEC (Selected Papers)
Silent Speech Interfaces (SSIs) are alternative assistive speech technologies that are capable of restoring speech communication for those individuals who have lost their voice due to laryngectomy or diseases affecting the vocal cords. However, many
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5126e19e9a8c614022a4b635e2cb20c8
https://doi.org/10.1007/978-3-319-54717-6_2
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10
Small-vocabulary speech recognition using a silent speech interface based on magnetic sensing
Autor: S. I. Rybchenko, Robin Hofe, Stephen R. Ell, Roger K. Moore, Phil D. Green, James M. Gilbert, Michael J. Fagan
Publikováno v: Speech Communication. 55:22-32
This paper reports on word recognition experiments using a silent speech interface based on magnetic sensing of articulator movements. A magnetic field was generated by permanent magnet pellets fixed to relevant speech articulators. Magnetic field se
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::63b043f9f9df36dc6959f2181806ff21
https://doi.org/10.1016/j.specom.2012.02.001
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