CRCNS Dataset: Interference of mid-level sound statistics predicts human speech recognition in natural noise

4 Haarat

Alex Clonan 405f0521c9 Update 'LICENSE'		2 kuukautta sitten
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Experiment2.zip	140a0b5e3a Upload Digits in Noise Paper files to GNode	2 kuukautta sitten
Experiment3.zip	140a0b5e3a Upload Digits in Noise Paper files to GNode	2 kuukautta sitten
LICENSE	405f0521c9 Update 'LICENSE'	2 kuukautta sitten
README.md	99257ebbf2 Update 'README.md'	2 kuukautta sitten
datacite.yml	9c9b5255ed Update 'datacite.yml'	2 kuukautta sitten

Digits-in-Noise Perceptual Dataset

Experimental Data: Interference of mid-level sound statistics predicts human speech recognition in natural noise

Experiment 1: Original, Phase Randomized, Spectrum Equalized Data

825 Foreground Sounds
825 Background Sounds
BehavioralDataExp1.mat
- BackSoundNum (1-11) as shown in paper (1x825)
- SNR Value Between (1x825)
- Behavioral Response

datacite.yml
Title	Low-dimensional interference of mid-level sound statistics predicts human speech recognition in natural environmental noise
Authors	Clonan,Alex;University of Connecticut;ORCID:0009-0007-1460-648 Zhai,Xiu;Wentworth Institute of Technology;ORCID:0000-0003-0341-7816 Stevenson,Ian;University of Connecticut;ORCID:0000-0002-1428-5946 Escabi,Monty;University of Connecticut;ORCID:0000-0001-7271-1061
Description	This is a suporting dataset for the manuscript "Low-dimensional interference of mid-level sound statistics predicts human speech recognition in natural environmental noise"
License	(CC BY-NC-SA 4.0) (https://creativecommons.org/licenses/by-nc-sa/4.0/)
References	Alex Clonan, Xiu Zhai, Ian Stevenson, Monty Escabi, Low-dimensional interference of mid-level sound statistics predicts human speech recognition in natural environmental noise [https://doi.org/10.1101/2024.02.13.579526] (isSupplementTo)
Funding	NIDCD, DC020097
Keywords	Neuroscience Speech Perception Natural Noise Auditory
Resource Type	Dataset