Literature DB >> 7479816

Processing of speech signals for physical and sensory disabilities.

H Levitt1.   

Abstract

Assistive technology involving voice communication is used primarily by people who are deaf, hard of hearing, or who have speech and/or language disabilities. It is also used to a lesser extent by people with visual or motor disabilities. A very wide range of devices has been developed for people with hearing loss. These devices can be categorized not only by the modality of stimulation [i.e., auditory, visual, tactile, or direct electrical stimulation of the auditory nerve (auditory-neural)] but also in terms of the degree of speech processing that is used. At least four such categories can be distinguished: assistive devices (a) that are not designed specifically for speech, (b) that take the average characteristics of speech into account, (c) that process articulatory or phonetic characteristics of speech, and (d) that embody some degree of automatic speech recognition. Assistive devices for people with speech and/or language disabilities typically involve some form of speech synthesis or symbol generation for severe forms of language disability. Speech synthesis is also used in text-to-speech systems for sightless persons. Other applications of assistive technology involving voice communication include voice control of wheelchairs and other devices for people with mobility disabilities.

Entities:  

Mesh:

Year:  1995        PMID: 7479816      PMCID: PMC40725          DOI: 10.1073/pnas.92.22.9999

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  27 in total

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Authors:  E Douek
Journal:  Proc R Soc Med       Date:  1977-06

2.  Visual aids for speech correction.

Authors:  A Risberg
Journal:  Am Ann Deaf       Date:  1968-03

3.  Long term results of electrode implantation and electronic stimulation of the cochlea in man.

Authors:  W F House; J Urban
Journal:  Ann Otol Rhinol Laryngol       Date:  1973 Jul-Aug       Impact factor: 1.547

4.  Teaching-ba- and -pa-to deaf children using real-time spectral displays.

Authors:  R E Stark
Journal:  Lang Speech       Date:  1972 Jan-Mar       Impact factor: 1.500

5.  Perception of visual transforms of speech stimuli: learning simple syllables.

Authors:  A S House; D P Goldstein; G W Hughes
Journal:  Am Ann Deaf       Date:  1968-03

6.  Wearable eyeglass speechreading aid.

Authors:  H W Upton
Journal:  Am Ann Deaf       Date:  1968-03

7.  Why are speech spectrograms hard to read?

Authors:  A M Liberman; F S Cooper; D P Shankweiler; M Studdert-Kennedy
Journal:  Am Ann Deaf       Date:  1968-03

8.  Articulatory training of the deaf using low-frequency surrogate fricatives.

Authors:  N Guttman; H Levitt; P A Bellefleur
Journal:  J Speech Hear Res       Date:  1970-03

9.  Electrical stimulation of the auditory nerve in man.

Authors:  F B Simmons
Journal:  Arch Otolaryngol       Date:  1966-07

10.  The Indiana Speech Training Aid (ISTRA). I: Comparisons between human and computer-based evaluation of speech quality.

Authors:  C S Watson; D J Reed; D Kewley-Port; D Maki
Journal:  J Speech Hear Res       Date:  1989-06
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  4 in total

1.  A historical perspective on digital hearing AIDS: how digital technology has changed modern hearing AIDS.

Authors:  Harry Levitt
Journal:  Trends Amplif       Date:  2007-03

2.  Speech recognition technology: a critique.

Authors:  S E Levinson
Journal:  Proc Natl Acad Sci U S A       Date:  1995-10-24       Impact factor: 11.205

3.  Toward the ultimate synthesis/recognition system.

Authors:  S Furui
Journal:  Proc Natl Acad Sci U S A       Date:  1995-10-24       Impact factor: 11.205

4.  Fidelity of Automatic Speech Processing for Adult and Child Talker Classifications.

Authors:  Mark VanDam; Noah H Silbert
Journal:  PLoS One       Date:  2016-08-16       Impact factor: 3.240

  4 in total

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