{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,3]],"date-time":"2026-09-03T12:16:29Z","timestamp":1788437789767,"version":"build-2803163510"},"reference-count":34,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2019,12,26]],"date-time":"2019-12-26T00:00:00Z","timestamp":1577318400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/100006108","name":"National Center for Advancing Translational Sciences","doi-asserted-by":"publisher","award":["UL1\u2010TR\u2010002384"],"award-info":[{"award-number":["UL1\u2010TR\u2010002384"]}],"id":[{"id":"10.13039\/100006108","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Head &amp; Neck"],"published-print":{"date-parts":[[2020,5]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>The main modalities for voice restoration after laryngectomy are the electrolarynx, and the tracheoesophageal puncture [Correction added on 30 January 2020 after first online publication: The preceding sentence has been revised. It originally read \u201cThe main modalities for voice restoration after laryngectomy are the electrolarynx and the tracheoesophageal puncture.\u201d]. All have limitations and new technologies may offer innovative alternatives via silent speech.<\/jats:p><\/jats:sec><jats:sec><jats:title>Objective<\/jats:title><jats:p>To describe a novel and personalized method of voice restoration using machine learning applied to electromyographic signal from articulatory muscles for the recognition of silent speech in a patient with total laryngectomy.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Surface electromyographic (sEMG) signals of articulatory muscles were recorded from the face and neck of a patient with total laryngectomy who was articulating words silently. These sEMG signals were then used for automatic speech recognition via machine learning. Sensor placement was tailored to the patient's unique anatomy, following radiation and surgery. A personalized wearable mask covering the sensors was designed using 3D scanning and 3D printing.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Using seven sEMG sensors on the patient's face and neck and two grounding electrodes, we recorded EMG data while he was mouthing \u201cTedd\u201d and \u201cEd.\u201d With data from 75 utterances for each of these words, we discriminated the sEMG signal with 86.4% accuracy using an XGBoost machine\u2010learning model.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>This pilot study demonstrates the feasibility of sEMG\u2010based alaryngeal speech recognition, using tailored sensor placement and a personalized wearable device. Further refinement of this approach could allow translation of silently articulated speech into a synthesized voiced speech via portable devices.<\/jats:p><\/jats:sec>","DOI":"10.1002\/hed.26057","type":"journal-article","created":{"date-parts":[[2019,12,26]],"date-time":"2019-12-26T09:50:27Z","timestamp":1577353827000},"page":"839-845","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":27,"title":["Pilot study for a novel and personalized voice restoration device for patients with laryngectomy"],"prefix":"10.1002","volume":"42","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1543-2634","authenticated-orcid":false,"given":"Ana\u00efs","family":"Rameau","sequence":"first","affiliation":[{"name":"Department of Otolaryngology\u2014Head and Neck Surgery, Weill Cornell Medical College Sean Parker Institute for the Voice  New York New York"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2019,12,26]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"publisher","DOI":"10.1177\/0194599812466645"},{"key":"e_1_2_8_3_1","doi-asserted-by":"publisher","DOI":"10.1056\/NEJM199106133242402"},{"key":"e_1_2_8_4_1","doi-asserted-by":"publisher","DOI":"10.1001\/jamaoncol.2016.5688"},{"key":"e_1_2_8_5_1","doi-asserted-by":"publisher","DOI":"10.1159\/000446117"},{"key":"e_1_2_8_6_1","doi-asserted-by":"publisher","DOI":"10.2147\/MDER.S133225"},{"key":"e_1_2_8_7_1","first-page":"57","volume-title":"The Artificial Larynx Handbook","author":"Bloom E","year":"1978"},{"key":"e_1_2_8_8_1","doi-asserted-by":"publisher","DOI":"10.1177\/000348948008900608"},{"key":"e_1_2_8_9_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00405-015-3777-4"},{"key":"e_1_2_8_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0194-5998(99)70117-8"},{"key":"e_1_2_8_11_1","doi-asserted-by":"publisher","DOI":"10.1177\/0003489414538766"},{"key":"e_1_2_8_12_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1365-2273.1994.tb01234.x"},{"key":"e_1_2_8_13_1","doi-asserted-by":"publisher","DOI":"10.1044\/2016_AJSLP-15-0081"},{"key":"e_1_2_8_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.medengphy.2007.05.003"},{"key":"e_1_2_8_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.medengphy.2010.08.011"},{"key":"e_1_2_8_16_1","doi-asserted-by":"publisher","DOI":"10.1177\/0003489416650689"},{"key":"e_1_2_8_17_1","first-page":"295","article-title":"Session\u2010independent EMG\u2010based speech recognition","volume":"2011","author":"Wand M","year":"2011","journal-title":"Bios"},{"key":"e_1_2_8_18_1","volume-title":"Creative Engineering: Promoting Innovation by Thinking Differently","author":"Arnold J.E.","year":"1959"},{"key":"e_1_2_8_19_1","volume-title":"Change by Design","author":"Brown T","year":"2009"},{"key":"e_1_2_8_20_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.hjdsi.2015.12.002"},{"key":"e_1_2_8_21_1","doi-asserted-by":"publisher","DOI":"10.6061\/clinics\/2015(12)01"},{"key":"e_1_2_8_22_1","doi-asserted-by":"publisher","DOI":"10.1108\/02756660710760935"},{"key":"e_1_2_8_23_1","doi-asserted-by":"publisher","DOI":"10.1118\/1.4895847"},{"key":"e_1_2_8_24_1","unstructured":"\u201cBlender\u2010a 3D modelling and rendering package \u201d Blender Online Community Blender Foundation 2018.http:\/\/www.blender.org"},{"key":"e_1_2_8_25_1","unstructured":"https:\/\/openbci.com\/"},{"key":"e_1_2_8_26_1","volume-title":"International BCI Meeting","author":"Frey J","year":"2016"},{"key":"e_1_2_8_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/ASRU.2011.6163899"},{"key":"e_1_2_8_28_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4899-7687-1"},{"key":"e_1_2_8_29_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.clinimag.2017.11.007"},{"key":"e_1_2_8_30_1","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2017171183"},{"key":"e_1_2_8_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/3172944.3172977"},{"key":"e_1_2_8_32_1","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2552\/aac965"},{"key":"e_1_2_8_33_1","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2017.2740000"},{"key":"e_1_2_8_34_1","doi-asserted-by":"publisher","DOI":"10.1121\/1.397462"},{"key":"e_1_2_8_35_1","first-page":"09047","article-title":"Towards end\u2010to\u2010end prosody transfer for expressive speech synthesis with Tacotron","volume":"1803","author":"Skerry\u2010Ryan RJ","year":"2018","journal-title":"arXiv"}],"container-title":["Head &amp; 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