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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" article-type="other" dtd-version="1.2" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher-id">Sensory Systems</journal-id><journal-title-group><journal-title xml:lang="en">Sensory Systems</journal-title><trans-title-group xml:lang="ru"><trans-title>Сенсорные системы</trans-title></trans-title-group></journal-title-group><issn publication-format="print">0235-0092</issn><issn publication-format="electronic">3034-5936</issn><publisher><publisher-name xml:lang="en">The Russian Academy of Sciences</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">675807</article-id><article-id pub-id-type="doi">10.31857/S023500922303006X</article-id><article-id pub-id-type="edn">UGPERQ</article-id><article-categories><subj-group subj-group-type="toc-heading"><subject>СЛУХОВАЯ И ВЕСТИБУЛЯРНАЯ СИСТЕМЫ</subject></subj-group><subj-group subj-group-type="article-type"><subject></subject></subj-group></article-categories><title-group><article-title xml:lang="en">Discrimination of rippled spectra in listeners with hearing loss at two experimental paradigms</article-title><trans-title-group xml:lang="ru"><trans-title>Различение гребенчатых спектров у испытуемых с ослабленным слухом при двух схемах эксперимента</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><name-alternatives><name xml:lang="en"><surname>Nechaev</surname><given-names>D. I.</given-names></name><name xml:lang="ru"><surname>Нечаев</surname><given-names>Д. И.</given-names></name></name-alternatives><email>dm.nechaev@yandex.ru</email><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="en"><surname>Milekhina</surname><given-names>O. N.</given-names></name><name xml:lang="ru"><surname>Милехина</surname><given-names>О. Н.</given-names></name></name-alternatives><email>dm.nechaev@yandex.ru</email><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="en"><surname>Tomozova</surname><given-names>M. S.</given-names></name><name xml:lang="ru"><surname>Томозова</surname><given-names>М. С.</given-names></name></name-alternatives><email>dm.nechaev@yandex.ru</email><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="en"><surname>Supin</surname><given-names>A. Ya.</given-names></name><name xml:lang="ru"><surname>Супин</surname><given-names>А. Я.</given-names></name></name-alternatives><email>dm.nechaev@yandex.ru</email><xref ref-type="aff" rid="aff1"/></contrib></contrib-group><aff-alternatives id="aff1"><aff><institution xml:lang="en">Institute of Ecology and Evolution of The Russian Academy of Sciences</institution></aff><aff><institution xml:lang="ru">Федеральное государственное бюджетное учреждение науки Институт проблем экологии и эволюции 
им. А.Н. Северцова РАН</institution></aff></aff-alternatives><pub-date date-type="pub" iso-8601-date="2023-07-01" publication-format="electronic"><day>01</day><month>07</month><year>2023</year></pub-date><volume>37</volume><issue>3</issue><fpage>269</fpage><lpage>280</lpage><history><date date-type="received" iso-8601-date="2025-02-28"><day>28</day><month>02</month><year>2025</year></date></history><permissions><copyright-statement xml:lang="en">Copyright ©; 2023, Russian Academy of Sciences</copyright-statement><copyright-statement xml:lang="ru">Copyright ©; 2023, Российская академия наук</copyright-statement><copyright-year>2023</copyright-year><copyright-holder xml:lang="en">Russian Academy of Sciences</copyright-holder><copyright-holder xml:lang="ru">Российская академия наук</copyright-holder></permissions><self-uri xlink:href="https://journals.eco-vector.com/0235-0092/article/view/675807">https://journals.eco-vector.com/0235-0092/article/view/675807</self-uri><abstract xml:lang="en"><p id="idm45181324671184">Frequency resolving power (FRP) of hearing was measured in listeners 30 to 82 years old as a maximal resolved ripple density (ripples/oct) of rippled-spectrum signals. The rippled-spectrum signal should be distinguished either from another rippled signal with different positions of ripples on the frequency scale or from a “flat”-spectrum signal with no spectral ripples. Signals had either 2-oct wide frequency band centered at 1, 2, or 4 kHz, or had a wide frequency band 0.125–8 kHz. Listeners older than 60 had substantially increased tonal thresholds (haring loss). If the listener should distinguish a rippled test signal from a rippled reference signal, FRP correlated with the tonal threshold: the higher threshold, the lower FRP. For all the signals, the trend of the dependence was from –0.04 to –0.07 ripples/oct·dB. It is suggested that in this case, the test and reference signals were discriminated by the spectral mechanism and depended on the interrelation between the ripple density and acuteness of the frequency-tuned filters. If the listener should distinguish the ripple test signal from a flat reference signal, the FRP dependence on tonal threshold was not statistically significant for 2-oct-wide signals on condition that the signal level was above threshold. Or the wide-band signal, the FRP dependence on tonal threshold was statistically significant with a trend of –1.23 ripples/oct·dB. It is suggested that in this case, the test and reference signal were discriminated by the temporal-processing mechanism and depended on the perceived frequency range.</p></abstract><trans-abstract xml:lang="ru"><p id="idm45181324671504">У испытуемых в возрасте от 30 до 82 лет измеряли частотную разрешающую способность (ЧРС) слуха как предельную плотность (цикл/окт) гребней спектра, при которой сигнал с гребенчатым спектром отличался от сигнала с другим расположением гребней на частотной шкале либо от сигнала с “плоским” (без гребенчатого рисунка) спектром. Сигналы имели либо спектральную полосу шириной 2 окт, центрированную на частотах 1, 2 или 4 кГц, либо широкую спектральную полосу (6 окт, от 0.125 до 8 кГц). Испытуемые старше 60 лет обнаруживали значительное повышение порогов обнаружения тонов по сравнению с нормой (тугоухость). Наблюдали корреляцию ЧРС с порогами обнаружения тона: чем выше порог, тем ниже ЧРС, если задача испытуемого состояла в различении сигналов с разным расположением гребней на шкале частот. Зависимость была статистически достоверной и составляла от –0.04 до –0.07 (цикл/окт)/дБ как для 2-окт, так и для 6-окт сигналов. Предполагается, что в этом случае различение двух сигналов было обусловлено преимущественно спектральным механизмом и зависело от соотношения плотности гребней в спектре сигнала и остроты настройки слуховых фильтров. Если задача состояла в различении гребенчатого и плоского сигналов, для 2-октавных сигналов связь между ЧРС и порогами обнаружения тона не была статистически достоверной. Для широкополосных сигналов связь была статистически достоверной и составляла –1.23 (цикл/окт)/дБ. Предполагается, что различение между сигналами с гребенчатым и плоским спектром обусловлено преимущественно временным анализом и зависело от того, насколько широкий диапазон звуковых частот доступен для восприятия.</p></trans-abstract><kwd-group xml:lang="en"><kwd>hearing</kwd><kwd>hearing loss</kwd><kwd>rippled spectra</kwd><kwd>spectral discrimination</kwd><kwd>temporal processing</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>слух</kwd><kwd>тугоухость</kwd><kwd>гребенчатые спектры</kwd><kwd>спектральное различение</kwd><kwd>временной анализ</kwd></kwd-group></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><mixed-citation>Anderson E.S., Oxenham A.J., Nelson P.B., Nelson D.A. Assessing the role of spectral and intensity cues in spectral ripple detection and discrimination on cochlear-implant users. J. Acoust. Soc. Am. 2012. V. 132. 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