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

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.

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neu-22-poe-01-speech.pdf (Publisher version), 2MB
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2022
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© 2022 The Author(s).

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 Creators:
Lizcano-Cortés, Fernando1, Author
Gómez-Varela, Ireri1, Author
Mares, Cecilia1, Author
Wallisch, Pascal2, Author
Orpella, Joan2, Author
Poeppel, David2, 3, 4, 5, Author                 
Ripollés, Pablo2, 3, 5, 6, Author
Assaneo, M. Florencia1, Author
Affiliations:
1Institute of Neurobiology, UNAM, Querétaro 76230, México, ou_persistent22              
2Department of Psychology, New York University, New York, NY 10003, USA, ou_persistent22              
3Department of Neuroscience, Max Planck Institute for Empirical Aesthetics, Max Planck Society, ou_2421697              
4Ernst Struengmann Institute for Neuroscience, 60528 Frankfurt, Germany, ou_persistent22              
5Center for Language, Music and Emotion (CLaME), New York University, New York, NY, USA , ou_persistent22              
6Music and Audio Research Laboratory (MARL), New York University, New York, NY 11201, USA, ou_persistent22              

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 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.

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Language(s): eng - English
 Dates: 2022-03-152022-06-17
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.xpro.2022.101248
 Degree: -

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Title: STAR Protocols
Source Genre: Journal
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Publ. Info: Cambridge, MA ; Amsterdam : Cell Press ; Elsevier
Pages: - Volume / Issue: 3 (2) Sequence Number: 101248 Start / End Page: - Identifier: ISSN: 2666-1667
CoNE: https://pure.mpg.de/cone/journals/resource/2666-1667