Literature DB >> 10668658

Children's phoneme identification in reverberation and noise.

C E Johnson1.   

Abstract

This study assessed the effects of reverberation, noise, and their combination on listeners' identification of consonants and vowels in naturally produced nonsense syllables presented at different sensation levels (re: speech recognition threshold). A secondary purpose of this study was to assess listeners' identification of voicing, manner, and place of articulation for consonants at 50 dB SL in the reverberation, noise, and combined conditions. Listeners, aged 6-30 years, identified consonant-vowel-consonant-vowel (CVCV) stimuli presented at four different sensation levels (re: speech recognition threshold) of 30, 40, 50, and 60 dB SL in 4 listening conditions: (a) an optimal listening situation (no reverberation, no noise), (b) reverberation only (1.3 seconds), (c) noise only (+13 dB S/N against a multitalker babble), and (d) reverberation plus noise. Results showed that all listener groups achieved maximum consonant identification performance at 50 dB SL. Vowel identification scores were unaffected by SL. Statistical analyses revealed that children's ability to identify consonants varied according to listening condition. For example, children's consonant identification abilities reached adult-like levels of performance at about age 14 years in the reverberation-only and noise-only listening conditions. However, in the reverberation-plus-noise listening condition, children's consonant identification abilities do not mature until the late teenage years. The ability to identify vowels, on the other hand, develops much earlier. A feature analysis of the consonant data showed that for all 3 features (voicing, manner, and place), identification scores were highest in the control condition, similar for the reverberation-only and noise-only conditions, and lowest in the reverberation-plus-noise condition. Voicing was easier for listeners to identify than manner or place of articulation features in reverberation and noise. Taken together, these results suggest that the ability to identify speech in reverberation and noise reaches adult-like level of performance at different ages for different components of the speech signal.

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Mesh:

Year:  2000        PMID: 10668658     DOI: 10.1044/jslhr.4301.144

Source DB:  PubMed          Journal:  J Speech Lang Hear Res        ISSN: 1092-4388            Impact factor:   2.297


  48 in total

1.  Experimental investigation of the effects of the acoustical conditions in a simulated classroom on speech recognition and learning in children.

Authors:  Daniel L Valente; Hallie M Plevinsky; John M Franco; Elizabeth C Heinrichs-Graham; Dawna E Lewis
Journal:  J Acoust Soc Am       Date:  2012-01       Impact factor: 1.840

2.  Effects of Age and Cochlear Implantation on Spectrally Cued Speech Categorization.

Authors:  Mishaela DiNino; Julie G Arenberg; Anne L R Duchen; Matthew B Winn
Journal:  J Speech Lang Hear Res       Date:  2020-06-18       Impact factor: 2.297

3.  The effects of indexical and phonetic variation on vowel perception in typically developing 9- to 12-year-old children.

Authors:  Ewa Jacewicz; Robert Allen Fox
Journal:  J Speech Lang Hear Res       Date:  2014-04-01       Impact factor: 2.297

4.  Multiple looks in speech sound discrimination in adults.

Authors:  Rachael Frush Holt; Arlene Earley Carney
Journal:  J Speech Lang Hear Res       Date:  2005-08       Impact factor: 2.297

5.  Developmental effects of multiple looks in speech sound discrimination.

Authors:  Rachael Frush Holt; Arlene Earley Carney
Journal:  J Speech Lang Hear Res       Date:  2007-12       Impact factor: 2.297

6.  Cortical Tracking of Speech-in-Noise Develops from Childhood to Adulthood.

Authors:  Marc Vander Ghinst; Mathieu Bourguignon; Maxime Niesen; Vincent Wens; Sergio Hassid; Georges Choufani; Veikko Jousmäki; Riitta Hari; Serge Goldman; Xavier De Tiège
Journal:  J Neurosci       Date:  2019-02-11       Impact factor: 6.167

7.  Quantification of speech-in-noise and sound localisation abilities in children with unilateral hearing loss and comparison to normal hearing peers.

Authors:  Ruth M Reeder; Jamie Cadieux; Jill B Firszt
Journal:  Audiol Neurootol       Date:  2015-05-19       Impact factor: 1.854

8.  The Effect of Remote Masking on the Reception of Speech by Young School-Age Children.

Authors:  Carla L Youngdahl; Eric W Healy; Sarah E Yoho; Frédéric Apoux; Rachael Frush Holt
Journal:  J Speech Lang Hear Res       Date:  2018-02-15       Impact factor: 2.297

9.  Performance-intensity functions for normal-hearing adults and children using computer-aided speech perception assessment.

Authors:  Ryan McCreery; Rindy Ito; Merry Spratford; Dawna Lewis; Brenda Hoover; Patricia G Stelmachowicz
Journal:  Ear Hear       Date:  2010-02       Impact factor: 3.570

10.  The effects of limited bandwidth and noise on verbal processing time and word recall in normal-hearing children.

Authors:  Ryan W McCreery; Patricia G Stelmachowicz
Journal:  Ear Hear       Date:  2013-09       Impact factor: 3.570

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