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Knowing how to create an outline for an extemporaneous speech helps speakers remember the order that should be followed, a word that the speaker might find it difficult to pronounce or main topics of the speech. An outline used for an extemporaneous speech can be called a "working outline" and it consists of three main sections, the ...
Pronunciation assessment does not determine unknown speech (as in dictation or automatic transcription) but instead, knowing the expected word(s) in advance, it attempts to verify the correctness of the learner's pronunciation and ideally their intelligibility to listeners, [4] [5] sometimes along with often inconsequential prosody such as ...
Linguistic discrimination (also called glottophobia, linguicism and languagism) is unfair treatment of people based upon their use of language and the characteristics of their speech, such as their first language, their accent, the perceived size of their vocabulary (whether or not the speaker uses complex and varied words), their modality, and ...
Educational assessment or educational evaluation [1] is the systematic process of documenting and using empirical data on the knowledge, skill, attitudes, aptitude and beliefs to refine programs and improve student learning. [2]
Speech mode hypothesis is the idea that the perception of speech requires the use of specialized mental processing. [53] [54] The speech mode hypothesis is a branch off of Fodor's modularity theory (see modularity of mind). It utilizes a vertical processing mechanism where limited stimuli are processed by special-purpose areas of the brain that ...
The mental status examination (MSE) is an important part of the clinical assessment process in neurological and psychiatric practice. It is a structured way of observing and describing a patient's psychological functioning at a given point in time, under the domains of appearance, attitude, behavior, mood and affect, speech, thought process, thought content, perception, cognition, insight, and ...
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Linear predictive coding (LPC) is a speech coding method used in speaker recognition and speech verification. [citation needed] Ambient noise levels can impede both collections of the initial and subsequent voice samples. Noise reduction algorithms can be employed to improve accuracy, but incorrect application can have the opposite effect.
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