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      Discrimination of consonants in quiet and in noise in Mandarin-speaking children with normal hearing

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          Abstract

          Objective

          Given the critical role of consonants in speech perception and the lack of knowledge on consonant perception in noise in Mandarin-speaking children, the current study aimed to investigate Mandarin consonant discrimination in normal-hearing children, in relation to the effects of age and signal-to-noise ratios (S/N).

          Design

          A discrimination task consisting of 33 minimal pairs in monosyllabic words was designed to explore the development of consonant discrimination in five test conditions: 0, -5, -10, -15 dB S/Ns, and quiet.

          Study sample

          Forty Mandarin-speaking, normal-hearing children aged from 4;0 to 8;9 in one-year-age increment were recruited and their performance was compared to 10 adult listeners.

          Results

          A significant main effect of age, test conditions, and an interaction effect between these variables was noted. Consonant discrimination in quiet and in noise improved as children became older. Consonants that were difficult to discriminate in quiet and in noise were mainly velar contrasts. Noise seemed to have less effect on the discrimination of affricates and fricatives, and plosives appeared to be to be more difficult to discriminate in noise than in quiet. Place contrasts between alveolar and palato-alveolar consonants were difficult in quiet.

          Conclusions

          The findings were the first to reveal typical perceptual development of Mandarin consonant discrimination in children and can serve as a reference for comparison with children with disordered perceptual development, such as those with hearing loss.

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          Most cited references34

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          The development of phonemic categorization in children aged 6–12

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            A glimpsing model of speech perception in noise.

            Do listeners process noisy speech by taking advantage of "glimpses"-spectrotemporal regions in which the target signal is least affected by the background? This study used an automatic speech recognition system, adapted for use with partially specified inputs, to identify consonants in noise. Twelve masking conditions were chosen to create a range of glimpse sizes. Several different glimpsing models were employed, differing in the local signal-to-noise ratio (SNR) used for detection, the minimum glimpse size, and the use of information in the masked regions. Recognition results were compared with behavioral data. A quantitative analysis demonstrated that the proportion of the time-frequency plane glimpsed is a good predictor of intelligibility. Recognition scores in each noise condition confirmed that sufficient information exists in glimpses to support consonant identification. Close fits to listeners' performance were obtained at two local SNR thresholds: one at around 8 dB and another in the range -5 to -2 dB. A transmitted information analysis revealed that cues to voicing are degraded more in the model than in human auditory processing.
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              Listening to speech in the presence of other sounds.

              Although most research on the perception of speech has been conducted with speech presented without any competing sounds, we almost always listen to speech against a background of other sounds which we are adept at ignoring. Nevertheless, such additional irrelevant sounds can cause severe problems for speech recognition algorithms and for the hard of hearing as well as posing a challenge to theories of speech perception. A variety of different problems are created by the presence of additional sound sources: detection of features that are partially masked, allocation of detected features to the appropriate sound sources and recognition of sounds on the basis of partial information. The separation of sounds is arousing substantial attention in psychoacoustics and in computer science. An effective solution to the problem of separating sounds would have important practical applications.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SoftwareRole: SupervisionRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: InvestigationRole: Project administrationRole: Supervision
                Role: Data curationRole: Formal analysisRole: Writing – review & editing
                Role: Data curationRole: Formal analysisRole: Writing – review & editing
                Role: Data curationRole: Formal analysisRole: Writing – original draft
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLOS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                21 March 2023
                2023
                : 18
                : 3
                : e0283198
                Affiliations
                [1 ] Faculty of Education, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
                [2 ] Department of Special Education and Counselling, The Education University of Hong Kong, Hong Kong SAR, China
                Education University of Hong Kong, HONG KONG
                Author notes

                Competing Interests: NO authors have competing interests

                Author information
                https://orcid.org/0000-0001-6706-0962
                Article
                PONE-D-22-07016
                10.1371/journal.pone.0283198
                10030016
                36943841
                aef9046f-5813-49ef-9fd4-02bea2892175
                © 2023 Wong et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 9 March 2022
                : 3 March 2023
                Page count
                Figures: 4, Tables: 5, Pages: 16
                Funding
                Funded by: University Grants Council
                Award ID: 17605118
                Award Recipient :
                Funded by: Sivantos Medical Instruments Pte Ltd
                Award Recipient :
                Wong L.L.N received funding from the Hong Kong Research Grants Council (General Research Fund #17605118) and Sivantos Medical Instruments Pte Ltd.
                Categories
                Research Article
                Social Sciences
                Linguistics
                Phonetics
                Consonants
                People and Places
                Population Groupings
                Age Groups
                Physical Sciences
                Physics
                Acoustics
                Silence
                Biology and Life Sciences
                Neuroscience
                Cognitive Science
                Cognitive Psychology
                Perception
                Sensory Perception
                Biology and Life Sciences
                Psychology
                Cognitive Psychology
                Perception
                Sensory Perception
                Social Sciences
                Psychology
                Cognitive Psychology
                Perception
                Sensory Perception
                Biology and Life Sciences
                Neuroscience
                Sensory Perception
                People and Places
                Population Groupings
                Age Groups
                Children
                People and Places
                Population Groupings
                Families
                Children
                Social Sciences
                Sociology
                Education
                Schools
                Medicine and Health Sciences
                Otorhinolaryngology
                Otology
                Hearing Disorders
                Deafness
                Computer and Information Sciences
                Software Engineering
                Computer Software
                Engineering and Technology
                Software Engineering
                Computer Software
                Custom metadata
                All relevant data are within the paper and its Supporting Information files.

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