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@@ -39,13 +39,13 @@ description: |
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This is a supporting dataset for the manuscript "Low-dimensional interference of mid-level sound statistics predicts human speech recognition in natural environmental noise". The dataset
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itself is comprised of three psychoacoustic experiments that investigate human speech recognition in differing natural enviornments.
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- In the first experiment, (n=18) participants recognize spoken digits in the presence of 11 natural backgrounds, and acoustically perturbed variants that whiten the
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+ In the first experiment, (n=18) participants recognize spoken digit triplets in the presence of 11 natural backgrounds, and acoustically perturbed variants that whiten the
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the modulation content (Phase Randomized, PR) or the spectrum content (Spectrum Equalized, SE) of the sound.
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- In the second experiment, (n=16) participants recognize spoken digits in the presence of the Jackhammer Sound or the 8 Speaker Babble sound, that have been perturbed by gradually added
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+ In the second experiment, (n=16) participants recognize spoken digit triplets in the presence of the Jackhammer Sound or the 8 Speaker Babble sound, that have been perturbed by gradually added
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texture statistics (McDermott 2011).
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- In the third experiment, (n=9) participants recognize spoken digits in the presence of 11 natural backgrounds at 7 different, signal-to-noise ratios.
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+ In the third experiment, (n=9) participants recognize spoken digit triplets in the presence of 11 natural backgrounds at 7 different, signal-to-noise ratios.
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The supported data will be able to replicate the psychoacoustic results presented in the paper, in addition to serving as the input for the logistic regression model used in subsequent
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analysis.
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