Journal article
Predicting speech-in-speech recognition: Short-term audibility and spatial separation
The Journal of the Acoustical Society of America, Vol.154(3), pp.1827-1837
09/2023
DOI: 10.1121/10.0021069
PMID: 37728286
Abstract
Quantifying the factors that predict variability in speech-in-speech recognition represents a fundamental challenge in auditory science. Stimulus factors associated with energetic and informational masking (IM) modulate variability in speech-in-speech recognition, but energetic effects can be difficult to estimate in spectro-temporally dynamic speech maskers. The current experiment characterized the effects of short-term audibility and differences in target and masker location (or perceived location) on the horizontal plane for sentence recognition in two-talker speech. Thirty young adults with normal hearing (NH) participated. Speech reception thresholds and keyword recognition at a fixed signal-to-noise ratio (SNR) were measured in each spatial condition. Short-term audibility for each keyword was quantified using a glimpsing model. Results revealed that speech-in-speech recognition depended on the proportion of audible glimpses available in the target + masker keyword stimulus in each spatial condition, even across stimuli presented at a fixed global SNR. Short-term audibility requirements were greater for colocated than spatially separated speech-in-speech recognition, and keyword recognition improved more rapidly as a function of increases in target audibility with spatial separation. Results indicate that spatial cues enhance glimpsing efficiency in competing speech for young adults with NH and provide a quantitative framework for estimating IM for speech-in-speech recognition in different spatial configurations.
Details
- Title: Subtitle
- Predicting speech-in-speech recognition: Short-term audibility and spatial separation
- Creators
- Peter A. Wasiuk - Southern Connecticut State UniversityLauren Calandruccio - Case Western Reserve UniversityJacob J. Oleson - University of IowaEmily Buss - University of North Carolina at Chapel Hill
- Resource Type
- Journal article
- Publication Details
- The Journal of the Acoustical Society of America, Vol.154(3), pp.1827-1837
- DOI
- 10.1121/10.0021069
- PMID
- 37728286
- ISSN
- 0001-4966
- eISSN
- 1520-8524
- Number of pages
- 11
- Date published
- 09/2023
- Academic Unit
- Biostatistics
- Record Identifier
- 9984466844202771
Metrics
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