
Contents
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34.1 Maps and Streams in the Brain: A Comprehensive Functional Model 34.1 Maps and Streams in the Brain: A Comprehensive Functional Model
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34.2 Neurocomputational Modelling 34.2 Neurocomputational Modelling
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34.2.1 Model Neurons 34.2.1 Model Neurons
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34.2.2 Neural Maps 34.2.2 Neural Maps
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34.2.3 Neural Network Module 34.2.3 Neural Network Module
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34.2.4 Knowledge Acquisition 34.2.4 Knowledge Acquisition
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34.3 Gathering Knowledge for Voice and Speech Perception 34.3 Gathering Knowledge for Voice and Speech Perception
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34.4 Future Directions 34.4 Future Directions
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References References
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34 Neurocomputational Models of Voice and Speech Perception
Get accessDepartment of Phoniatrics, Pedaudiology, and Communication Disorders Medical School, RWTH Aachen University, Germany
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Published:04 October 2019
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Abstract
This chapter outlines a comprehensive neurocomputational model of voice and speech perception based on (i) already established computational models, as well as on (ii) neurophysiological data of the underlying neural processes. Neurocomputational models of speech perception comprise auditory as well as cognitive modules, in order to extract sound features as well as linguistic information (linguistic content). A model of voice and speech perception in addition needs to process paralinguistic information like gender, age, emotional or affective state of speaker, etc. It is argued here that modules of a neurocomputational model of voice and speech perception need to interact with modules which go beyond unimodal auditory processing because, for example, processing of paralinguistic information is closely related to such as visual facial perception. Thus, this chapter describes neural modelling of voice and speech perception in relation to general communication and social-interaction processes, which makes it necessary to develop a hypermodal processing approach.
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