Acoustic Source Characteristics, Across-Formant Integration, and Speech Intelligibility Under Competitive Conditions


Creators: Roberts, Brian and Summers, Robert
Keywords: auditory grouping, formant integration, informational masking, source characteristics, speech intelligibility
Divisions: College of Health and Life Sciences > Clinical and Systems Neuroscience
Funders: Economic and Social Research Council
Projects: Understanding speech in the presence of other speech: Perceptual mechanisms for auditory scene analysis in human listeners
Grant number: ES/K004905/1
Data Publisher: Aston University
Date Made Available: 16 July 2015
Collection period:
16 July 201516 July 2015
Data Collection and Processing Methods: These datasets comprise listeners’ transcriptions of sentence-length speech stimuli for Experiments 1 and 2 of the article of the same title (Roberts, Summers, and Bailey, 2015). Each spreadsheet comprises a summary worksheet and the raw data for each listener. The summary worksheet contains aggregated scores (Keywords correct by tight scoring, see below) for each listener in each condition, with relevant demographic information. Subsequent worksheets comprise the raw data for each listener and stimulus. The raw data comprise: (a) the stimulus presented Column heading: Text, (b) the listener’s response Transcription, (c) the condition number for which the stimulus was presented Condition (note: condition number in the article does not always correspond to that assigned when the experiment was run), (d) the number of times the listener heard the stimulus (up to 6 in these experiments), (e) the number of Keywords in the stimulus, (f) the loose score (number of Keywords reported correctly for which the stem of the word is correct – e.g., “type”, “types”, and “typed” would all be marked correct for keyword “typing”; the loose score was not analysed but is included for completeness), and (g) the tight score (only exactly reported Keywords are marked as correct; homonyms are accepted). The mean scores (loose or tight) for each condition are computed by dividing the number of correct Keywords reported for all 6 sentences in the condition by the total number of Keywords.
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