Our understanding of the neurofunctional mechanisms of speech production and their pathologies is still incomplete. In this paper, a comprehensive model of speech production based on the Neural Engineering Framework (NEF) is presented. This model is able to activate sensorimotor plans based on cognitive-functional processes (i.e., generation of the intention of an utterance, selection of words and syntactic frames, generation of the phonological form and motor plan; feedforward mechanism). Since the generation of different states of the utterance are tied to different levels in the speech production hierarchy, it is shown that different forms of speech errors as well as speech disorders can arise at different levels in the production hierarchy or are linked to different levels and different modules in the speech production model. In addition, the influence of the inner feedback mechanisms on normal as well as on disordered speech is examined in terms of the model. The model uses a small number of core concepts provided by the NEF, and we show that these are sufficient to create this neurobiologically detailed model of the complex process of speech production in a manner that is, we believe, clear, efficient, and understandable.

中文翻译：

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语音生成中的分层排序和前馈和反馈控制机制：一种模拟正常和无序语音的初步方法

我们对言语产生的神经功能机制及其病理的理解仍然不完整。在本文中，提出了一种基于神经工程框架 (NEF) 的语音生成综合模型。该模型能够激活基于认知功能过程（即话语意图的生成、单词和句法框架的选择、语音形式和运动计划的生成；前馈机制）的感觉运动计划。由于话语的不同状态的产生与语音产生层次中的不同层次有关，因此表明不同形式的语音错误和言语障碍可能出现在产生层次中的不同层次上，或者与不同的层次和层次相关联。语音生成模型中的不同模块。此外，根据模型检查内部反馈机制对正常和无序语音的影响。该模型使用了 NEF 提供的少量核心概念，我们表明这些概念足以以我们​​认为清晰、高效且易于理解的方式创建语音生成复杂过程的神经生物学详细模型。