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The Computational Paralinguistics Challenge [Social Sciences]

机译:计算副语言学挑战[社会科学]

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摘要

As Friedrich Nietzsche stated more than a century ago, “The most intelligible factor in language is not the word itself, but the tone, strength, modulation, tempo with which a sequence of words is spoken—in brief, the music behind the words, the passions behind the music, the person behind these passions: everything, in other words, that cannot be written” [1]. However, nonlinguistic aspects were broadly conceived as fringe phenomena until the attitude changed at slow pace half a century ago [2]. Paralanguage—literally “alongside” language—is researched more widely only since the term was arguably first mentioned by the linguist Archibald Hill in 1958. Paralinguistics, first named roughly at the same time by George Leonard Trager [3]—can be limited to “vocal factors” according to David Abercrombie and David Crystal roughly a decade later—also all linguists. With the advent of modern computing devices, a new branch of paralinguistics allowed for their automatic processing.
机译:正如一个多世纪前的弗里德里希·尼采(Friedrich Nietzsche)所说:“语言中最易懂的因素不是单词本身,而是说话的语调,力度,调音和节奏—简而言之,单词背后的音乐,音乐背后的激情,这些激情背后的人:所有无法写的东西” [1]。然而,直到半个世纪前态度缓慢变化之前,非语言方面被广泛认为是边缘现象[2]。自从1958年语言学家阿奇博尔德·希尔(Archibald Hill)首次提出该术语以来,就对副语言进行了更广泛的研究。该术语最初由乔治·伦纳德·特拉格(George Leonard Trager)[3]大致同时命名。大约十年后,根据大卫·阿伯克朗比(David Abercrombie)和大卫·克里斯特尔(David Crystal)的说法,“声音因素”也是语言学家。随着现代计算设备的出现,副语言学的一个新分支允许对其进行自动处理。

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