Literature DB >> 3958993

Continuing evaluation of the Queen's University tactile vocoder. I: Identification of open set words.

P L Brooks, B J Frost, J L Mason, D M Gibson.   

Abstract

Identification of open set words, by an experienced normal hearing subject using the tactile vocoder developed at Queen's University, was examined. The tactile vocoder filters and processes the acoustic waveform into 16 filter channels, each of which controls a vibrator on the skin surface. After acquiring a 250-word vocabulary through the tactile vocoder, the subject was presented with three sets of 1000 different open set words in three reception conditions. The percentages of words correctly identified in the tactile vocoder (TV), lipreading (L), and lipreading plus tactile vocoder (L + TV) conditions were 8.8, 39.4, and 68.7 percent respectively. Phonemic analysis of stimulus/response pairs revealed that 36.7, 64.9 and 85.5 percent of the phonemes were correctly identified in TV, L, and L + TV conditions, respectively, indicating that incorrect-response words often contained many correct phonemes. Also, syllabic stress of stimulus and response words was identical 88 percent of the time in the TV condition. Important information about speech was transmitted through the tactile vocoder.

Mesh:

Year:  1986        PMID: 3958993

Source DB:  PubMed          Journal:  J Rehabil Res Dev        ISSN: 0748-7711


  5 in total

1.  FFT-based digital tactile vocoder system for real-time use.

Authors:  O Ozdamar; C N Lopez; D K Oller; R E Eilers; E Miskiel; M P Lynch
Journal:  Med Biol Eng Comput       Date:  1992-03       Impact factor: 2.602

2.  Using space and time to encode vibrotactile information: toward an estimate of the skin's achievable throughput.

Authors:  Scott D Novich; David M Eagleman
Journal:  Exp Brain Res       Date:  2015-06-17       Impact factor: 1.972

Review 3.  Electro-Haptic Stimulation: A New Approach for Improving Cochlear-Implant Listening.

Authors:  Mark D Fletcher; Carl A Verschuur
Journal:  Front Neurosci       Date:  2021-06-09       Impact factor: 4.677

4.  Feeling voices.

Authors:  Paolo Ammirante; Frank A Russo; Arla Good; Deborah I Fels
Journal:  PLoS One       Date:  2013-01-16       Impact factor: 3.240

5.  Vibro-Tactile Enhancement of Speech Intelligibility in Multi-talker Noise for Simulated Cochlear Implant Listening.

Authors:  Mark D Fletcher; Sean R Mills; Tobias Goehring
Journal:  Trends Hear       Date:  2018 Jan-Dec       Impact factor: 3.293

  5 in total

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