Information-Theoretic Measures Predict the Human Judgment of Rhythm Complexity
نویسندگان
چکیده
منابع مشابه
Information-Theoretic Measures Predict the Human Judgment of Rhythm Complexity
To formalize the human judgment of rhythm complexity, we used five measures from information theory and algorithmic complexity to measure the complexity of 48 artificially generated rhythmic sequences. We compared these measurements to human prediction accuracy and easiness judgments obtained from a listening experiment, in which 32 participants guessed the last beat of each sequence. We also i...
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In order to identify a perceptually valid measure of rhythm complexity, we used five measures from information theory and algorithmic complexity to measure the complexity of 48 artificially generated rhythmic sequences. We compared these measurements to human implicit and explicit complexity judgments obtained from a listening experiment, in which 32 participants guessed the last beat of each s...
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ژورنال
عنوان ژورنال: Cognitive Science
سال: 2016
ISSN: 0364-0213
DOI: 10.1111/cogs.12347