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Speech-to-Speech synchronization protocol to classify human participants as high or low auditory-motor synchronizers

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Poeppel,  David       
Department of Neuroscience, Max Planck Institute for Empirical Aesthetics, Max Planck Society;
Department of Psychology, New York University;
Ernst Struengmann Institute for Neuroscience, 60528 Frankfurt, Germany;
Center for Language, Music and Emotion (CLaME), New York University, New York, NY, USA ;

Ripollés,  Pablo
Department of Psychology, New York University;
Center for Language, Music and Emotion (CLaME), New York University, New York, NY, USA ;
Department of Neuroscience, Max Planck Institute for Empirical Aesthetics, Max Planck Society;
Music and Audio Research Laboratory (MARL), New York University, New York, NY 11201, USA;

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Citation

Lizcano-Cortés, F., Gómez-Varela, I., Mares, C., Wallisch, P., Orpella, J., Poeppel, D., et al. (2022). Speech-to-Speech synchronization protocol to classify human participants as high or low auditory-motor synchronizers. STAR Protocols, 3(2): 101248. doi:10.1016/j.xpro.2022.101248.


Cite as: https://hdl.handle.net/21.11116/0000-000A-2090-E
Abstract
The ability to synchronize a motor action to a rhythmic auditory stimulus is often considered an innate human skill. However, some individuals lack the ability to synchronize speech to a perceived syllabic rate. Here, we describe a simple and fast protocol to classify a single native English speaker as being or not being a speech synchronizer. This protocol consists of four parts: the pretest instructions and volume adjustment, the training procedure, the execution of the main task, and data analysis.