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Although high-frequency content is known to be critically important for the accurate location of isolated sounds, relatively little is known about the importance of high-frequency spectral content for the localization of sounds in the presence of a masker. In this experiment, listeners were asked to identify the location of a pulsed-noise target in the presence of a randomly located continuous noise masker. Both the target and masker were low-pass filtered at one of eight cutoff frequencies ranging from 1 to 16 kHz, and the signal-to-noise ratio was varied from -12 to +12 dB. The results confirm the importance of high frequencies for the localization of isolated sounds, and show that high-frequency content remains critical in cases where the target sound is masked by a spatially separated masker. In fact, when two sources of the same level are randomly located in space, these results show that a decrease in stimulus bandwidth from 16 to 12 kHz might result in a 30% increase in overall localization error.
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http://dx.doi.org/10.1121/1.3243309 | DOI Listing |
Imaging Neurosci (Camb)
August 2025
Department of Electrical Engineering, Columbia University, New York, NY, United States.
Understanding speech in noise depends on several interacting factors, including the signal-to-noise ratio (SNR), speech intelligibility (SI), and attentional engagement. However, how these factors relate to selective neural speech tracking remains unclear. In this study, we recorded EEG and eye-tracking data while participants performed a selective listening task involving a target talker in the presence of a competing masker talker and background noise across a wide range of SNRs.
View Article and Find Full Text PDFJ Acoust Soc Am
September 2025
Audiology Department, College of Health and Life Sciences, Aston University, Birmingham, B4 7ET, United Kingdom.
The current study simulated bilateral and unilateral cochlear implant (CI) processing using a channel vocoder with dense tonal carriers ("SPIRAL") in 13 normal-hearing listeners. Their performance of recognizing spatial speech-in-noise was measured under the effects of three masker locations (0°, +90°, and -90°; target at 0°) and three types of maskers (steady-state noise, speech-modulated noise, and a single-talker interferer) where the maskers contained different levels of energetic and informational masking. The stimuli were spatialized using the head-related impulse responses recorded from behind-the-ear microphones of hearing aids.
View Article and Find Full Text PDFHear Res
August 2025
Department of Speech, Language, and Hearing Sciences, Indiana University, USA.
In multi-source environments, rhythmic regularities in both to-be-attended signals (targets), as well as to-be-ignored signals (backgrounds) have been found to influence selective listening across a variety of stimuli and listening conditions. Specifically, regular rhythmic structures facilitate recognition of target signals, and background signals with regular rhythmic structures are more effective maskers than irregular backgrounds. The current study focused on the background rhythm effect and assessed to what degree it depends on the perceptual similarity between the target and background signals, and its dependence on listener age.
View Article and Find Full Text PDFBrain Sci
August 2025
Linguistics Department, The University of Kansas, Lawrence, KS 66045, USA.
: Speech perception typically takes place against a background of other speech or noise. The present study investigates the effectiveness of segregating speech streams within a competing speech signal, examining whether cues such as pitch, which typically denote a difference in talker, behave in the same way as cues such as speaking rate, which typically do not denote the presence of a new talker. : Native English speakers listened to English target speech within English two-talker babble of a similar or different pitch and/or a similar or different speaking rate to identify whether mismatched properties between target speech and masker babble improve speech segregation.
View Article and Find Full Text PDFActa Psychol (Amst)
September 2025
Disability Research Division, Department of Behavioural Sciences and Learning, Linköping University, Linköping, Sweden.
In this study, we seek to empirically evaluate whether maskers can be categorically grouped into energetic and informational using machine learning classification techniques. The study further aimed to examine how age and hearing ability affect speech reception thresholds (SRTs) using different speech materials and masker types (energetic vs. informational).
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