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Bernd J. Kröger
RWTH Aachen University
Neurocomputational speech processingSpeech recognitionComputer scienceSpeech productionSpeech processing
102Publications
15H-index
715Citations
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Publications 101
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#1Catharina Marie Stille (RWTH Aachen University)
#2Trevor Bekolay (UW: University of Waterloo)H-Index: 7
Last. Bernd J. Kröger (RWTH Aachen University)H-Index: 15
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Many medical screenings used for the diagnosis of neurological, psychological or language and speech disorders access the language and speech processing system. Specifically, patients are asked to fulfill a task (perception) and then requested to give answers verbally or by writing (production). To analyze cognitive or higher-level linguistic impairments or disorders it is thus expected that specific parts of the language and speech processing system of patients are working correctly or that ver...
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#1Bernd J. KrögerH-Index: 15
#2Trevor BekolayH-Index: 7
#1Bernd J. Kröger (RWTH Aachen University)H-Index: 15
#2Tanya Bafna (RWTH Aachen University)
Last. Mengxue Cao (BNU: Beijing Normal University)H-Index: 3
view all 3 authors...
A comprehensive model of speech processing and speech learning has been established. The model comprises a mental lexicon, an action repository and an articulatory-acoustic module for executing motor plans and generating auditory and somatosensory feedback information (Kroger & Cao, J Phonetics 53, 88-100). In this study a “model language” based on three auditory and motor realizations of 70 monosyllabic words has been trained in order to simulate early phases of speech acquisition (babbling and...
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#1Bernd J. Kröger (RWTH Aachen University)H-Index: 15
#2Trevor BekolayH-Index: 7
This section presents an approach for modeling speech processing and speech learning. Parts of this simulation model are implemented in the STAA approach, with other parts already in the NEF. The model described here comprises cognitive and sensory-motor components of speech production and perception. Additionally, we simulate the emergence of the mental lexicon and the mental syllabary using babbling and imitation training.
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#1Bernd J. Kröger (RWTH Aachen University)H-Index: 15
#2Trevor BekolayH-Index: 7
In this section models of speech production, perception, and learning are discussed. First, we present theoretical models based on gross brain activity data and behavioral data. We then describe quantitative computational models involving simulated brain activity or behavior.
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#1Bernd J. Kröger (RWTH Aachen University)H-Index: 15
#2Trevor BekolayH-Index: 7
This section provides an introduction to computer-implemented connectionist neural models. It explains how sensory, motor, and cognitive states are represented at the neural level and how these states can be processed in neural networks. Supervised learning is illustrated through a sensorimotor association example and unsupervised learning through a self-organizing network example, both using vowel representations. This chapter is intended to provide a basic understanding of how our central nerv...
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#1Bernd J. Kröger (RWTH Aachen University)H-Index: 15
#2Trevor BekolayH-Index: 7
In this chapter we explain how the recognition of sound features works on the acoustic-auditory level and how recognition of sound features leads to the activation of symbolic-cognitive variables such as sounds, syllables, and words. We describe how the speech information signal is compressed from a detailed acoustic-auditory representation to an efficient symbolic-cognitive representation. We also discuss why we perceive complex auditory stimuli like speech signals categorically, and why humans...
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#1Bernd J. KrögerH-Index: 15
#1Bernd J. Kröger (RWTH Aachen University)H-Index: 15
#2Trevor BekolayH-Index: 7
This chapter presents the “neural engineering framework” (NEF), which is a well-documented and easy-to-use framework from the computer programming point of view. In particular, we show how to use this framework to build a neural model for word generation and apply that model to simulate a picture naming test. The NEF can use neuron models that closely emulate neurophysiology in that they produce action potentials at specific points in time. Sensory, motor, and cognitive states are implemented at...
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