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首页> 外文期刊>BRAIN. Broad Research in Artificial Intelligence and Neurosciences >Thinking soap But Speaking ‘oaps’. The Sound Preparation Period: Backward Calculation From Utterance to Muscle Innervation
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Thinking soap But Speaking ‘oaps’. The Sound Preparation Period: Backward Calculation From Utterance to Muscle Innervation

机译:思考肥皂,但说“肥皂”。声音准备阶段:从说话到肌肉神经的反向计算

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摘要

In this article’s model—on speech and on speech errors, dyscoordinations, and disorders—, the time-course from the muscle innervation impetuses to the utterance of sounds as intended for canonical speech sound sequences is calculated backward. This time-course is shown as the sum of all the known physiological durations of speech sounds and speech gestures that are necessary to produce an utterance. The model introduces two internal clocks, based on positive or negative factors, representing certain physiologically-based time-courses during the sound preparation period (Lautvorspann). The use of these internal clocks show that speech gestures—like other motor activities—work according to a simple serialization principle: Under non-default conditions,alterations of the time-courses may cause speech errors of sound serialization, dyscoordinations of sounds as observed during first language acquisition, or speech disorders as pathological cases. These alterations of the time-course are modelled by varying the two internal-clock factors. The calculation of time-courses uses as default values the sound durations of the context-dependent Munich PHONDAT Database of Spoken German (see Appendix 4). As a new, human approach, this calculation agrees mathematically with the approach of Linear Programming / Operations Research. This work gives strong support to the fairly old suspicion (of 1908) of the famous Austrian speech error scientist Meringer [15], namely that one mostly thinks and articulates in a different serialization than is audible from one’s uttered sound sequences.
机译:在本文的模型(关于语音以及关于语音错误,音调失调和障碍)的模型中,从肌肉神经支配力到发声的时间过程(按规范语音序列进行计算)是向后计算的。该时间过程显示为语音和手势所产生的所有已知生理持续时间的总和。该模型引入了两个基于正或负因素的内部时钟,代表了声音准备期间(劳特沃斯潘)某些基于生理的时程。这些内部时钟的使用表明,语音手势与其他马达活动一样,按照简单的序列化原理进行工作:在非默认条件下,时间过程的变化可能会导致语音序列化的语音错误,声音音高失调。母语习得或言语障碍(病理情况)。通过改变两个内部时钟因素来模拟时程的这些变化。时程的计算使用默认值,取决于上下文的德语口语慕尼黑PHONDAT数据库的声音持续时间(请参见附录4)。作为一种新的人工方法,此计算在数学上与线性编程/运筹学的方法一致。这项工作为著名的奥地利言语错误科学家梅林格[15]的较早的怀疑(1908年)提供了有力的支持,即人们大多以不同于从发音序列中听到的序列化的方式发声和发声。

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