Literature DB >> 17239553

Electrolarynx in voice rehabilitation.

Hanjun Liu1, Manwa L Ng.   

Abstract

OBJECTIVE: Patients of laryngeal cancer who have undergone the surgical removal of the entire larynx suffer the loss of phonation. Electrolarynx (EL) speech is the most commonly adopted alaryngeal phonation. However, EL speech is notorious of the sound quality being monotonic and robotic with the lack of pitch control and the presence of the radiated noise. This paper provides a review of modalities in EL speech as well as introducing the technologies to control the pitch and reduce the noise of the device.
METHODS: Improvements of EL speech quality have been divided into two parts: improving the sound quality of EL device by applying different enhancement algorithms to reduce the radiated and the additive noise, and implementing pitch-control function to the EL with advanced technology.
RESULTS: Adaptive filtering and the subtractive-type algorithms have shown to be able to reduce the noise level associated with EL speech. And more mature technologies are showing promise to the making of a hand-free EL system producing more accurate and synchronized pitch and voice onset control.
CONCLUSION: The advent of micro-technology and human-machine integration promisingly improves EL speech quality and more efficient algorithms enhance EL sound quality. Such improvements apparently improve the intelligibility of EL speech, and thus better quality of life of the EL speakers.

Entities:  

Mesh:

Year:  2007        PMID: 17239553     DOI: 10.1016/j.anl.2006.11.010

Source DB:  PubMed          Journal:  Auris Nasus Larynx        ISSN: 0385-8146            Impact factor:   1.863


  11 in total

1.  The electrolarynx as a communication tool for mechanically ventilated critically ill patients: a prospective feasibility study.

Authors:  Koji Sato; Masaki Okajima; Takumi Taniguchi
Journal:  Intensive Care Med       Date:  2016-05-19       Impact factor: 17.440

2.  Novel modification of voice prosthesis.

Authors:  Basel Al Kadah; George Papaspyrou; Mathias Schneider; Bernhard Schick
Journal:  Eur Arch Otorhinolaryngol       Date:  2015-10-13       Impact factor: 2.503

3.  Verbal Communication of an Orally Intubated Patient in the Intensive Care Unit: A Case Report.

Authors:  Minori Imura; Yasuyo Nakashima; Risa Kawaguchi; Mariko Terashima; Sigeru Yamada
Journal:  Prog Rehabil Med       Date:  2019-09-20

4.  Implementing a Statistical Parametric Speech Synthesis System for a Patient with Laryngeal Cancer.

Authors:  Krzysztof Szklanny; Jakub Lachowicz
Journal:  Sensors (Basel)       Date:  2022-04-21       Impact factor: 3.847

5.  Generating Tonal Distinctions in Mandarin Chinese Using an Electrolarynx with Preprogrammed Tone Patterns.

Authors:  Liana Guo; Kathy Nagle; James T Heaton
Journal:  Speech Commun       Date:  2016-04-01       Impact factor: 2.017

6.  Speaker-Independent Silent Speech Recognition from Flesh-Point Articulatory Movements Using an LSTM Neural Network.

Authors:  Myungjong Kim; Beiming Cao; Ted Mau; Jun Wang
Journal:  IEEE/ACM Trans Audio Speech Lang Process       Date:  2017-11-23

7.  Talker identification across source mechanisms: experiments with laryngeal and electrolarynx speech.

Authors:  Tyler K Perrachione; Cara E Stepp; Robert E Hillman; Patrick C M Wong
Journal:  J Speech Lang Hear Res       Date:  2014-10       Impact factor: 2.297

Review 8.  The electrolarynx: voice restoration after total laryngectomy.

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

9.  An automatic water-occluding device to enable laryngectomee participation in water activities.

Authors:  Samantha K Denning; Michael A Valleau; William J Pelowski; Claire M Chaisson; Kelli E Grimes; Byron D Erath
Journal:  PLoS One       Date:  2021-09-13       Impact factor: 3.240

Review 10.  Communicating with conscious and mechanically ventilated critically ill patients: a systematic review.

Authors:  S Ten Hoorn; P W Elbers; A R Girbes; P R Tuinman
Journal:  Crit Care       Date:  2016-10-19       Impact factor: 9.097

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