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Segregation of competing voices by their fundamental frequency relies on low-frequency regions.

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Title: Segregation of competing voices by their fundamental frequency relies on low-frequency regions.
Authors: Calinescu, Chloe1 (AUTHOR), Deroche, Mickael1 (AUTHOR) mickael.deroche@concordia.ca
Source: Journal of the Acoustical Society of America. Mar2026, Vol. 159 Issue 3, p2250-2264. 15p.
Subjects: Audio frequency, Frequency spectra, Auditory scene analysis, Auditory masking, Harmonics (Music theory), Speech perception
Abstract: A difference in fundamental frequency (ΔF0) between two voices provides considerable help for listeners to segregate one from the other perceptually. Past studies have found that the ΔF0 benefit relies on partials of low rank. Here, we questioned whether this observation could partly be due to spectral glimpsing. Four experiments measured speech reception thresholds for a target voice against an interfering voice (experiments 1 and 2) or against buzzes (experiments 3 and 4) with flattened F0 patterns. In experiments 1 and 3, the target F0 was fixed (at 90 Hz) and the masker F0 was raised. In experiments 2 and 4, the masker F0 was fixed (at 90 Hz) and the target F0 was raised. Furthermore, the ΔF0 was (1) applied uniformly across the spectrum, (2) only available in low frequencies, (3) only available in high frequencies, or (4) swapped between low and high frequencies. Results confirmed that glimpsing plays an increasing role when the masker F0 is increased. The benefit relied primarily on frequencies below 800 Hz, but this depended somewhat on the design and on the masker type. High-frequency harmonics contributed more with buzzes, and F0 inconsistencies across channels were more detrimental at large ΔF0s. [ABSTRACT FROM AUTHOR]
Copyright of Journal of the Acoustical Society of America is the property of American Institute of Physics and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 192669286
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PubType: Academic Journal
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  Data: Segregation of competing voices by their fundamental frequency relies on low-frequency regions.
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  Data: <searchLink fieldCode="AR" term="%22Calinescu%2C+Chloe%22">Calinescu, Chloe</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Deroche%2C+Mickael%22">Deroche, Mickael</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> mickael.deroche@concordia.ca</i>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+the+Acoustical+Society+of+America%22">Journal of the Acoustical Society of America</searchLink>. Mar2026, Vol. 159 Issue 3, p2250-2264. 15p.
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  Data: <searchLink fieldCode="DE" term="%22Audio+frequency%22">Audio frequency</searchLink><br /><searchLink fieldCode="DE" term="%22Frequency+spectra%22">Frequency spectra</searchLink><br /><searchLink fieldCode="DE" term="%22Auditory+scene+analysis%22">Auditory scene analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Auditory+masking%22">Auditory masking</searchLink><br /><searchLink fieldCode="DE" term="%22Harmonics+%28Music+theory%29%22">Harmonics (Music theory)</searchLink><br /><searchLink fieldCode="DE" term="%22Speech+perception%22">Speech perception</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: A difference in fundamental frequency (ΔF0) between two voices provides considerable help for listeners to segregate one from the other perceptually. Past studies have found that the ΔF0 benefit relies on partials of low rank. Here, we questioned whether this observation could partly be due to spectral glimpsing. Four experiments measured speech reception thresholds for a target voice against an interfering voice (experiments 1 and 2) or against buzzes (experiments 3 and 4) with flattened F0 patterns. In experiments 1 and 3, the target F0 was fixed (at 90 Hz) and the masker F0 was raised. In experiments 2 and 4, the masker F0 was fixed (at 90 Hz) and the target F0 was raised. Furthermore, the ΔF0 was (1) applied uniformly across the spectrum, (2) only available in low frequencies, (3) only available in high frequencies, or (4) swapped between low and high frequencies. Results confirmed that glimpsing plays an increasing role when the masker F0 is increased. The benefit relied primarily on frequencies below 800 Hz, but this depended somewhat on the design and on the masker type. High-frequency harmonics contributed more with buzzes, and F0 inconsistencies across channels were more detrimental at large ΔF0s. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Group: Ab
  Data: <i>Copyright of Journal of the Acoustical Society of America is the property of American Institute of Physics and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=192669286
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      – Type: doi
        Value: 10.1121/10.0043005
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      – Code: eng
        Text: English
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        PageCount: 15
        StartPage: 2250
    Subjects:
      – SubjectFull: Audio frequency
        Type: general
      – SubjectFull: Frequency spectra
        Type: general
      – SubjectFull: Auditory scene analysis
        Type: general
      – SubjectFull: Auditory masking
        Type: general
      – SubjectFull: Harmonics (Music theory)
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      – SubjectFull: Speech perception
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      – TitleFull: Segregation of competing voices by their fundamental frequency relies on low-frequency regions.
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            NameFull: Calinescu, Chloe
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            NameFull: Deroche, Mickael
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            – D: 01
              M: 03
              Text: Mar2026
              Type: published
              Y: 2026
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