The “Words in noise” test: an instrument for objective assessment of speech-in-noise difficulties in children

 
Audio is AI-generated
0

Abstract

Difficulties in speech perception, particularly central auditory processing disorders (CAPD), are a common yet challenging-to-diagnose cause of learning problems in children. These deficits are most evident in noisy environments such as classrooms and frequently accompany developmental conditions, including autism spectrum disorders (ASD). Standard audiometry does not detect CAPD, and existing Russian-language speech-in-noise tests are either not normed or too demanding for young school-aged children due to reliance on working memory. This study aimed to develop and validate a pediatric speech-in-noise intelligibility test that overcomes these limitations. The “Words in Noise” test is based on 144 early-acquired disyllabic words used in our previous study, which demonstrated that such linguistic material minimizes the influence of cognitive abilities on test performance. The new version of the test was administered to 35 typically developing (TD) children and 52 verbal children with ASD aged 7–12 years. The goals were as follows. First, the existing word set was ranked by perceptual difficulty to ensure equivalence across conditions: stationary (ST) and amplitude-modulated (AM) noise, signal-to-noise ratios of −3 and −6 dB. Such balancing ensures comparability across conditions. Second, the internal validity of the test was evaluated by examining practice effects, fatigue effects, and within-session stability in TD and ASD groups. Third, we sought to replicate previous findings — reduced speech-in-noise intelligibility and diminished ability to benefit from pauses in modulated noise in children with ASD. The results revealed a strong correlation in perceptual difficulty ratings between TD and ASD groups (ICC > 0.9). Within-session stability and practice effects did not differ between groups, while no fatigue effect (performance decline toward the end of the test) was observed in either group. The benefit from amplitude modulation of the masking noise was reduced in children with ASD, and approximately 20% of them scored at least 2 standard deviations below age norms in both ST and AM conditions. Thus, this study replicated earlier findings and demonstrated that the “Words in Noise” test can be used to assess speech-in-noise difficulties in children with ASD and, potentially, in children with other developmental disorders.

General Information

Keywords: autism, autism spectrum disorders, speech-in-noise perception, intelligence, phoneme perception, temporal phoneme integration

Journal rubric: Methods and Techniques

Article type: scientific article

DOI: https://doi.org/10.17759/cpse.2026150211

Funding. The publication was prepared within the framework of the MSUPE Development Program project (“Neurocognitive technologies for functional stratification of autism spectrum disorders (ASD) and other neuropsychiatric conditions”) as part of the Priority-2030 Program.

Acknowledgements. The study was conducted using the unique scientific equipment of the Center for Neurocognitive Research (MEG Center), Moscow State University of Psychology and Education.

Received 19.11.2025

Published

For citation: Fadeev, K.A., Goyaeva, D.E., Ovsyannikova, T.M., Romero Reyes, I.V., Novikov, A.Yu., Rytikova, A.M., Davydova, E.Y., Ilyunceva, A.A., Mamokhina, U.A., Stroganova, T.A., Orekhova, E.V. (2026). The “Words in noise” test: an instrument for objective assessment of speech-in-noise difficulties in children. Clinical Psychology and Special Education, 15(2), 207–237. (In Russ.). https://doi.org/10.17759/cpse.2026150211

© Fadeev K.A., Goyaeva D.E., Ovsyannikova T.M., Romero Reyes I.V., Novikov A.Yu., Rytikova A.M., Davydova E.Y., Ilyunceva A.A., Mamokhina U.A., Stroganova T.A., Orekhova E.V., 2026

License: CC BY-NC 4.0

References

  1. Бобошко, М.Ю., Жилинская, Е.В., Важыбок, А., Мальцева, Н.В., Цоколь, М., Кольмейер, Б., 2016. Речевая аудиометрия с использованием матриксного фразового теста. Весник Оториноларингологии 81, 40-44. DOI: 10.17116/otorino201681540-44
    Boboshko, M.Yu., Zhilinskaya, E.V., Vazhybok, A., Maltseva, N.V., Tsokol, M., Kolmeyer, B., 2016. Speech audiometry using the matrix sentence test. Bulletin of Otorhinolaryngology 81, 40-44. DOI: 10.17116/otorino201681540-44
  2. Бобошко, М.Ю., Риехакайнен, Е.И., 2019. Речевая аудиометрия в клинической практике. Диалог, Спб.
    Boboshko, M.Yu., Riekhakaynen, E.I., 2019. Speech audiometry in clinical practice. Dialog Publishing House, St. Petersburg.
  3. Всемирная организация здравоохранения, 1994. Международная статистическая классификация болезней и проблем, связанных со здоровьем (10-й пересмотр). Медицина.
    World Health Organization, 1994. International Statistical Classification of Diseases and Related Health Problems (10th revision). Meditsina Publishing House.
  4. Гарбарук, Е.С., Гойхбург, М.В., Важыбок, Д., Таварткиладзе, Г.А., Павлов, П.В., Кольмайер, Б., 2018. Использование скрининговых анкет для выявления центральных слуховых расстройств в педиатрической практике. Весник Оториноларингологии 83, 43-50. DOI: 10.17116/otorino201883443
    Garbaruk, E.S., Goykhburg, M.V., Vazhybok, D., Tavartkiladze, G.A., Pavlov, P.V., Kolmayer, B., 2018. Use of screening questionnaires for the detection of central auditory processing disorders in pediatric practice. Bulletin of Otorhinolaryngology 83, 43-50. DOI: 10.17116/otorino201883443
  5. Ефимова, В.Л., 2015. Моделирование фасилитирующей образовательной среды для учащихся, имеющих вестибулярные дисфункции Гуманитарные, социально-экономические и общественные науки.
    Efimova, V.L., 2015. Modeling a facilitating educational environment for students with vestibular dysfunctions. Humanities, Socio-Economic and Social Sciences.
  6. Ляшевская, О.Н., Шаров, С.А., 2009. Частотный словарь современного русского языка (на материалах Национального корпуса русского языка). Азбуковник, М.
    Lyashevskaya, O.N., Sharov, S.A., 2009. Frequency dictionary of the modern Russian language (based on the materials of the Russian National Corpus). Azbukovnik Publishing House, Moscow
  7. Фадеев, К.А., Гояева, Д.Э., Обухова, Т.С., Овсянникова, Т.М., Шведовский, Е.Ф., Николаева, А.Ю., Давыдова, Е.Ю., Строганова, Т.А., Орехова, Е.В., 2023.Трудности с восприятием речи на фоне шума у детей с расстройствами аутистического спектра не связаны с уровнем их интеллекта. Клиническая и специальная психология 12, 180-212.DOI 10.17759/cpse.2023120108
    Fadeev, K.A., Goyaeva, D.E., Obukhova, T.S., Ovsyannikova, T.M., Shvedovskiy, E.F., Nikolaeva, A.Yu., Davydova, E.Yu., Stroganova, T.A., Orekhova, E.V., 2023. Difficulties with speech perception in noise in children with autism spectrum disorders are not associated with their intelligence level. Clinical and Special Psychology 12, 180-212. DOI: 10.17759/cpse.2023120108
  8. AAA, 2010. Diagnosis, Treatment and Management of Children and Adults with Central
    Auditory Processing Disorder. https://audiology-web.s3.amazonaws.com/migrated/CAPD Guidelines 8-2010.pdf_539952af956c79.73897613.pdf.
  9. Alcántara, J.I., Weisblatt, E.J., Moore, B.C., Bolton, P.F., 2004. Speech-in-noise perception in high-functioning individuals with autism or Asperger's syndrome. Journal of child psychology and psychiatry, and allied disciplines 45, 1107-1114.
  10. American Psychiatric Association, 2013. Diagnostic and statistical manual of mental disorders (5th ed.). https://doi.org/10.1176/appi.books.9780890425596.31
  11. Brysbaert, M., Biemiller, A., 2017. Test-based age-of-acquisition norms for 44 thousand English word meanings. Behavior research methods 49, 1520-1523.
  12. Chermak, G.D., Musiek, F.E., 1997. Central auditory processing disorders: New perspectives. Singular, San Diego. CISG, 2022. Canadian Guidelines on Auditory Processing Disorder in Children and Adults: Assessment and Intervention. Curran-Everett, D., Williams, C.L., 2015. Explorations in statistics: the analysis of change. Advances in physiology education 39, 49-54.
  13. de Wit, E., van Dijk, P., Hanekamp, S., Visser-Bochane, M.I., Steenbergen, B., van der Schans, C.P., Luinge, M.R., 2018. Same or Different: The Overlap Between Children With Auditory Processing Disorders and Children With Other Developmenta Disorders: A Systematic Review. Ear and hearing 39, 1-19.
  14. Emanuel, D.C., Ficca, K.N., Korczak, P., 2011. Survey of the diagnosis and management of auditory processing disorder. American journal of audiology 20, 48-60.
  15. Fadeev, K.A., Romero Reyes, I.V., Goiaeva, D.E., Obukhova, T.S., Ovsiannikova, T.M., Prokofyev, A.O., Rytikova, A.M., Novikov, A.Y., Kozunov, V.V., Stroganova, T.A., Orekhova, E.V., 2024. Attenuated processing of vowels in the left temporal cortex predicts speech-in-noise perception deficit in children with autism. Journal of neurodevelopmental disorders 16, 67.
  16. Feldman, J.I., Thompson, E., Davis, H., Keceli-Kaysili, B., Dunham, K., Woynaroski, T., Tharpe, A.M., Picou, E.M., 2022. Remote Microphone Systems Can Improve Listening-in-Noise Accuracy and Listening Effort for Youth With Autism. Ear and hearing 43, 436-447.
  17. Ferenczy, M., Pottas, L., Soer, M., 2022. Speech perception in noise in children with learning difficulties: A scoping review. International journal of pediatric otorhinolaryngology 156, 111101.
  18. Fey, M.E., Richard, G.J., Geffner, D., Kamhi, A.G., Medwetsky, L., Paul, D., Ross-Swain, D., Wallach, G.P., Frymark, T., Schooling, T., 2011. Auditory processing disorder and auditory/language interventions: an evidence-based systematic review. Language, speech, and hearing services in schools 42, 246-264.
  19. Geffner, D., Ross-Swain, D., 2018. Auditory Processing Disorders: Assessment, Management, and Treatment, Third Edition Plural Publishing.
  20. Groen, W.B., van Orsouw, L., Huurne, N., Swinkels, S., van der Gaag, R.J., Buitelaar, J.K., Zwiers, M.P., 2009. Intact spectral but abnormal temporal processing of auditory stimuli in autism. Journal of autism and developmental disorders 39, 742-750.
  21. Ismen, K., Emanuel, D.C., 2023. Auditory Processing Disorder: Protocols and Controversy. American journal of audiology 32, 614-639.
  22. Johnston, K.N., John, A.B., Kreisman, N.V., Hall, J.W., 3rd, Crandell, C.C., 2009. Multiple benefits of personal FM system use by children with auditory processing disorder (APD). International journal of audiology 48, 371-383.
  23. Keith W.J., Purdy S.C. 2014. Assistive and Therapeutic Effects of Amplification for Auditory Processing Disorder. Seminars in Hearing. Vol. 35. № 01. P. 027—038
  24. Koo, T.K., Li, M.Y., 2016. A Guideline of Selecting and Reporting Intraclass Correlation Coefficients for Reliability Research. Journal of chiropractic medicine 15, 155-163.
  25. Koopmans, W.J.A., Goverts, S.T., Smits, C., 2018. Speech Recognition Abilities in Normal- Hearing Children 4 to 12 Years of Age in Stationary and Interrupted Noise. Ear and hearing 39, 1091-1103.
  26. Lemos, I.C., Jacob, R.T., Gejão, M.G., Bevilacqua, M.C., Feniman, M.R., Ferrari, D.V., 2009. Frequency modulation (FM) system in auditory processing disorder: an evidence-based practice? Pro-fono : revista de atualizacao cientifica 21, 243-248.
  27. Loo, J.H., Bamiou, D.E., Campbell, N., Luxon, L.M., 2010. Computer-based auditory training (CBAT): benefits for children with language- and reading-related learning difficulties. Developmental medicine and child neurology 52, 708-717.
  28. Lotfi, Y., Moosavi, A., Abdollahi, F.Z., Bakhshi, E., Sadjedi, H., 2016. Effects of an Auditory Lateralization Training in Children Suspected to Central Auditory Processing Disorder. Journal of audiology & otology 20, 102-108.
  29. Magimairaj, B.M., Nagaraj, N.K., Champlin, C.A., Thibodeau, L.K., Loeb, D.F., Gillam, R.B., 2021. Speech Perception in Noise Predicts Oral Narrative Comprehension in Children With Developmental Language Disorder. Frontiers in psychology 12, 735026.
  30. Moncrieff, D., Keith, W., Abramson, M., Swann, A., 2017. Evidence of binaural integration benefits following ARIA training for children and adolescents diagnosed with amblyaudia. International journal of audiology 56, 580-588.
  31. Moore, D.R., 2018. Editorial: Auditory Processing Disorder. Ear and hearing 39, 617-620.
  32. Moore, D.R., Lin, L., Bhalerao, R., Caldwell-Kurtzman, J., Hunter, L.L., 2025. Multidisciplinary Clinical Assessment and Interventions for Childhood Listening Difficulty and Auditory Processing Disorder: Relation Between Research Findings and Clinical Practice. Journal of speech, language, and hearing research: JSLHR 68, 2978-2991.
  33. Moore, D.R., Sieswerda, S.L., Grainger, M.M., Bowling, A., Smith, N., Perdew, A., Eichert, S., Alston, S., Hilbert, L.W., Summers, L., Lin, L., Hunter, L.L., 2018. Referral and Diagnosis of Developmental Auditory Processing Disorder in a Large, United States Hospital-Based Audiology Service. Journal of the American Academy of Audiology 29, 364-377.
  34. Musiek, F. E., & Chermak, G. D. 2014. Handbook of central auditory processing disorder (Second edition.). Plural Publishing.
  35. Partington, J.W., 2006. The Assessment of Basic Language and Learning Skills — Revised (The ABLLS-R Guide): Scoring Instructions and IEP Development Guide. (Version 3.0 ed.). Behavior Analysts Inc Pleasant Hill, CA.
  36. Ruiz Callejo, D., Boets, B., 2023. A systematic review on speech-in-noise perception in autism. Neuroscience and biobehavioral reviews 154, 105406.
  37. Schafer, E.C., Gopal, K.V., Mathews, L., Thompson, S., Kaiser, K., McCullough, S., Jones, J., Castillo, P., Canale, E., Hutcheson, A., 2019. Effects of Auditory Training and Remote Microphone Technology on the Behavioral Performance of Children and Young Adults Who Have Autism Spectrum Disorder. Journal of the American Academy of Audiology 30, 431-443.
  38. Sharma, M., Purdy, S.C., Kelly, A.S., 2012. A randomized control trial of interventions in school-aged children with auditory processing disorders. International journal of audiology 51, 506-518.
  39. Shiels, L., Tomlin, D., Rance, G., 2023. The Assistive Benefits of Remote Microphone Technology for Normal Hearing Children With Listening Difficulties. Ear and hearing 44, 1049-1060.
  40. Strong, G.K., Torgerson, C.J., Torgerson, D., Hulme, C., 2011. A systematic meta-analytic review of evidence for the effectiveness of the 'Fast ForWord' language intervention program. Journal of child psychology and psychiatry, and allied disciplines 52, 224-235.
  41. Tallal, P., 2013. Fast ForWord®: the birth of the neurocognitive training revolution. Progress in brain research 207, 175-207.
  42. Tarvainen, S., Launonen, K., Stolt, S., 2021. Oral language comprehension interventions in school-age children and adolescents with developmental language disorder: A systematic scoping review. Autism & developmental language impairments 6, 23969415211010423.
  43. van der Kruk, Y., Wilson, W.J., Palghat, K., Downing, C., Harper-Hill, K., Ashburner, J., 2017. Improved Signal-to-Noise Ratio and Classroom Performance in Children with Autism Spectrum Disorder: a Systematic Review. Review Journal of Autism and Developmental Disorders 4, 243-253.
  44. Warzybok, A., Zokoll, M., Wardenga, N., Ozimek, E., Boboshko, M., 2015. Development of the Russian matrix sentence test. Int J Audiol 54, 35-43.
  45. Weihing, J., Chermak, G.D., Musiek, F.E., 2015. Auditory Training for Central Auditory Processing Disorder. Semin Hear 36, 199-215.

Information About the Authors

Kirill A. Fadeev, Junior Research Fellow, Center for Neurocognitive Research (MEG Center), Moscow State University of Psychology & Education, Moscow, Russian Federation, ORCID: https://orcid.org/0000-0003-2480-5527, e-mail: fadeevk.fefu@gmail.com

Dzerassa E. Goyaeva, Fellow, Center for Neurocognitive Research (MEG Center), Moscow State University of Psychology and Education, Moscow, Russian Federation, ORCID: https://orcid.org/0000-0003-3018-7948, e-mail: dzerassa.goyaeva@gmail.com

Tatyana M. Ovsyannikova, Junior Research Fellow, Center for Neurocognitive Research (MEG Center), Moscow State University of Psychology and Education, Moscow, Russian Federation, ORCID: https://orcid.org/0000-0001-6199-3649, e-mail: sp.psychology@gmail.com

Ilacai V. Romero Reyes, Candidate of Science (Physics and Matematics), Senior Research Fellow, Center for Neurocognitive Research (MEG Center), Moscow State University of Psychology and Education, Moscow, Russian Federation, ORCID: https://orcid.org/0000-0002-6743-6138, e-mail: welcome@ilacai.ru

Artem Y. Novikov, Psychiatrist, Regional Charitable Public Organization “Center for Curative Pedagogy,” , Moscow, Russian Federation, ORCID: https://orcid.org/0000-0002-6393-6864, e-mail: artemnovikov21@gmail.ru

Anna M. Rytikova, Candidate of Science (Engineering), Deputy Director of the MEG Center, Moscow State University of Psychology and Education, Moscow, Russian Federation, ORCID: https://orcid.org/0000-0003-0153-9457, e-mail: rytikovaam@mgppu.ru

Elizaveta Y. Davydova, Candidate of Science (Biology), Associate Professor, Leading Researcher, Federal Resource Center for Organization of Comprehensive Support to Children with Autism Spectrum Disorders, Associate Professor of the Department of Differential Psychology and Psychophysiology Faculty of “Clinical and Special Psychology”, Moscow State University of Psychology and Education, Moscow, Russian Federation, ORCID: https://orcid.org/0000-0002-5192-5535, e-mail: el-davydova@mail.ru

Anna A. Ilyunceva, Junior Research Fellow, Federal Resource Center for the Comprehensive Support of Children with Autism Spectrum Disorders, Moscow State University of Psychology and Education, Russian Federation, ORCID: https://orcid.org/0009-0007-2966-3261, e-mail: ilyuncevaaa@mgppu.ru

Ulyana A. Mamokhina, Researcher of the Federal Resource Center for Organization of Comprehensive Support to Children with Autism Spectrum Disorders, Moscow State University of Psychology and Education, Moscow, Russian Federation, ORCID: https://orcid.org/0000-0003-2738-7201, e-mail: mamohinaua@mgppu.ru

Tatyana A. Stroganova, Doctor of Biology, Senior Researcher, Centre of Neurocognitive Research (MEG Centre), Moscow State University of Psychology and Education, Moscow, Russian Federation, ORCID: https://orcid.org/0000-0003-3750-9890, e-mail: stroganova56@mail.ru

Elena V. Orekhova, Candidate of Science (Psychology), Senior Researcher, Centre of Neurocognitive Research (MEG Centre), Moscow State University of Psychology and Education, Moscow, Russian Federation, ORCID: https://orcid.org/0000-0003-0950-1613, e-mail: orekhova.elena.v@gmail.com

Contribution of the authors

K.A. Fadeev — study concept, creation and refinement of the speech-in-noise test, experimental design, coordination of data collection, development of software for stimulus presentation and data processing, statistical analysis, data interpretation, manuscript preparation.

D.E. Goyaeva — organization of testing procedures, conducting the experiment, initial data processing, contribution to discussion of the results.

T.M. Ovsyannikova — participation in organizing data collection and working with participants, quality control of behavioral data.

I.V. Romero Reyes — contribution to preparation of the speech material, audio stimulus processing, and technical support of the experiment.

A.Y. Novikov — clinical assessment and selection of participants with ASD.

A.M. Rytikova — assistance with testing procedures and initial data verification.

E.Y. Davydova — participation in data collection, interaction with parents, and preparation of study documentation.

A.A. Ilyuntseva — participation in organizing and conducting testing, preparation of experimental sessions.

U.A. Mamokhina — consultations on practical use of speech-in-noise tests, participation in behavioral data collection.

T.A. Stroganova — scientific supervision, discussion of the study design, critical revision of the manuscript.

E.V. Orekhova — scientific supervision, formulation of the study concept, statistical analysis, data interpretation, manuscript preparation, critical revision of the text, final approval of the manuscript.

Conflict of interest

The authors declare no conflict of interest.

Ethics statement

The study was reviewed and approved by the Ethics Committee of Moscow State University of Psychology and Education (approval No. 1 from the Ethics Committee meeting, held on January 18, 2022).

Metrics

 Web Views

Whole time: 2
Previous month: 0
Current month: 2

 PDF Downloads

Whole time: 0
Previous month: 0
Current month: 0

 Total

Whole time: 2
Previous month: 0
Current month: 2