The Effects of Background Noise on Native and Non-native Spoken Word 
Recognition: An Artificial Neural Network Modelling Approach.

Karaminis, Themelis; Hintz, Florian; Scharenborg, Odette

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The Effects of Background Noise on Native and Non-native Spoken Word Recognition: An Artificial Neural Network Modelling Approach.

Karaminis, T., Hintz, F., & Scharenborg, O. (2017). The Effects of Background Noise on Native and Non-native Spoken Word Recognition: An Artificial Neural Network Modelling Approach. Poster presented at the Ninth Annual Meeting of the Society for the Neurobiology of Language, Baltimore (US).

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Datensatz-Permalink: https://hdl.handle.net/11858/00-001M-0000-002E-298F-E Versions-Permalink: https://hdl.handle.net/21.11116/0000-0001-45C9-F

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Urheber:
Karaminis, Themelis^{1, 2}, Autor
Hintz, Florian³, Autor
Scharenborg, Odette^{1, 4}, Autor

Affiliations:
1Center for Language Studies, Radboud University, Nijmegen, NL, ou_persistent22
2Department of Psychology, Edge Hill University, Ormskirk, UK, ou_persistent22
3Psychology of Language Department, MPI for Psycholinguistics, Max Planck Society, ou_792545
4Donders Institute for Brain, Cognition and Behaviour, External Organizations, ou_55236