Evidence map›Paper›PMID 33979177›Full record

ArticleJournal of speech, language, and hearing research : JSLHR2021

Surface Electromyography-Based Recognition, Synthesis, and Perception of Prosodic Subvocal Speech.

Jennifer M Vojtech, Michael D Chan, Bhawna Shiwani, Serge H Roy, James T Heaton, Geoffrey S Meltzner, Paola Contessa, Gianluca De Luca, Rupal Patel, Joshua C Kline

Abstract read
In one paragraph

Article in Journal of speech, language, and hearing research : JSLHR, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Prosodic Preferences of Surface Electromyography-based Subvocal Speech for People With Laryngectomy.Journal of voice : official journal of the Voice Foundation · 2024
    Article
  5. Article
  6. 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

10 authors.

Jennifer M VojtechDelsys/Altec, Inc., Natick, MA.
Michael D ChanDelsys/Altec, Inc., Natick, MA.
Bhawna ShiwaniDelsys/Altec, Inc., Natick, MA.
Serge H RoyDelsys/Altec, Inc., Natick, MA.
James T HeatonMassachusetts General Hospital Department of Surgery, Boston.
Geoffrey S MeltznerVocaliD, Inc., Belmont, MA.
Paola ContessaDelsys/Altec, Inc., Natick, MA.
Gianluca De LucaDelsys/Altec, Inc., Natick, MA.
Rupal PatelVocaliD, Inc., Belmont, MA.
Joshua C KlineDelsys/Altec, Inc., Natick, MA.

Funding

EMG Voice RestorationR44DC017097 · NIDCD · ALTEC, INC. · PI DE LUCA, GIANLUCA · 2020 to 2022
$1.7M
EMG Voice RestorationR43DC017097 · NIDCD · ALTEC, INC. · PI DE LUCA, GIANLUCA · 2018 to 2018
$225k
NIDCD NIH HHS R43 DC017097NIDCD NIH HHS R44 DC017097
6 · The paper itself

Abstract

Purpose This study aimed to evaluate a novel communication system designed to translate surface electromyographic (sEMG) signals from articulatory muscles into speech using a personalized, digital voice. The system was evaluated for word recognition, prosodic classification, and listener perception of synthesized speech. Method sEMG signals were recorded from the face and neck as speakers with (

Indexed as

Speech PerceptionVoiceElectromyographyHumansLaryngectomySpeechSpeech Intelligibility

Identifiers

PMID33979177
PMCPMC8740708

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.