Literature DB >> 22894230

The ability of cochlear implant users to use temporal envelope cues recovered from speech frequency modulation.

Jong Ho Won1, Christian Lorenzi, Kaibao Nie, Xing Li, Elyse M Jameyson, Ward R Drennan, Jay T Rubinstein.   

Abstract

Previous studies have demonstrated that normal-hearing listeners can understand speech using the recovered "temporal envelopes," i.e., amplitude modulation (AM) cues from frequency modulation (FM). This study evaluated this mechanism in cochlear implant (CI) users for consonant identification. Stimuli containing only FM cues were created using 1, 2, 4, and 8-band FM-vocoders to determine if consonant identification performance would improve as the recovered AM cues become more available. A consistent improvement was observed as the band number decreased from 8 to 1, supporting the hypothesis that (1) the CI sound processor generates recovered AM cues from broadband FM, and (2) CI users can use the recovered AM cues to recognize speech. The correlation between the intact and the recovered AM components at the output of the sound processor was also generally higher when the band number was low, supporting the consonant identification results. Moreover, CI subjects who were better at using recovered AM cues from broadband FM cues showed better identification performance with intact (unprocessed) speech stimuli. This suggests that speech perception performance variability in CI users may be partly caused by differences in their ability to use AM cues recovered from FM speech cues.

Mesh:

Year:  2012        PMID: 22894230      PMCID: PMC3427369          DOI: 10.1121/1.4726013

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  30 in total

1.  Consonant recordings for speech testing.

Authors:  R V Shannon; A Jensvold; M Padilla; M E Robert; X Wang
Journal:  J Acoust Soc Am       Date:  1999-12       Impact factor: 1.840

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Authors:  Zachary M Smith; Bertrand Delgutte; Andrew J Oxenham
Journal:  Nature       Date:  2002-03-07       Impact factor: 49.962

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Authors:  Fan-Gang Zeng; Kaibao Nie; Sheng Liu; Ginger Stickney; Elsa Del Rio; Ying-Yee Kong; Hongbin Chen
Journal:  J Acoust Soc Am       Date:  2004-09       Impact factor: 1.840

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Authors:  Jayaganesh Swaminathan; Michael G Heinz
Journal:  J Neurosci       Date:  2012-02-01       Impact factor: 6.167

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Authors:  B C Moore; A Sek
Journal:  J Acoust Soc Am       Date:  1996-10       Impact factor: 1.840

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Authors:  R V Shannon; F G Zeng; V Kamath; J Wygonski; M Ekelid
Journal:  Science       Date:  1995-10-13       Impact factor: 47.728

7.  Temporal envelope and fine structure cues for speech intelligibility.

Authors:  R Drullman
Journal:  J Acoust Soc Am       Date:  1995-01       Impact factor: 1.840

8.  Low-pass filtering in amplitude modulation detection associated with vowel and consonant identification in subjects with cochlear implants.

Authors:  Y Cazals; M Pelizzone; O Saudan; C Boex
Journal:  J Acoust Soc Am       Date:  1994-10       Impact factor: 1.840

9.  A "rationalized" arcsine transform.

Authors:  G A Studebaker
Journal:  J Speech Hear Res       Date:  1985-09

10.  Temporal processing and speech recognition in cochlear implant users.

Authors:  Qian-Jie Fu
Journal:  Neuroreport       Date:  2002-09-16       Impact factor: 1.837

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  6 in total

1.  Use of amplitude modulation cues recovered from frequency modulation for cochlear implant users when original speech cues are severely degraded.

Authors:  Jong Ho Won; Hyun Joon Shim; Christian Lorenzi; Jay T Rubinstein
Journal:  J Assoc Res Otolaryngol       Date:  2014-02-15

2.  Consonant identification using temporal fine structure and recovered envelope cues.

Authors:  Jayaganesh Swaminathan; Charlotte M Reed; Joseph G Desloge; Louis D Braida; Lorraine A Delhorne
Journal:  J Acoust Soc Am       Date:  2014-04       Impact factor: 1.840

3.  Nonlinguistic Outcome Measures in Adult Cochlear Implant Users Over the First Year of Implantation.

Authors:  Ward R Drennan; Jong Ho Won; Alden O Timme; Jay T Rubinstein
Journal:  Ear Hear       Date:  2016 May-Jun       Impact factor: 3.570

4.  Detection of acoustic temporal fine structure by cochlear implant listeners: behavioral results and computational modeling.

Authors:  Nikita S Imennov; Jong Ho Won; Ward R Drennan; Elyse Jameyson; Jay T Rubinstein
Journal:  Hear Res       Date:  2013-01-17       Impact factor: 3.208

5.  Consonant identification in noise using Hilbert-transform temporal fine-structure speech and recovered-envelope speech for listeners with normal and impaired hearing.

Authors:  Agnès C Léger; Charlotte M Reed; Joseph G Desloge; Jayaganesh Swaminathan; Louis D Braida
Journal:  J Acoust Soc Am       Date:  2015-07       Impact factor: 1.840

Review 6.  What is temporal fine structure and why is it important?

Authors:  Il Joon Moon; Sung Hwa Hong
Journal:  Korean J Audiol       Date:  2014-04-14
  6 in total

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