二语学习者语音中自动检测词汇重音的感知动机评价

Kun Li, H. Meng
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引用次数: 6

摘要

本文提出了一种二语语音词汇重音自动评估方法。音节重音可以分为三个层次——主重音(P)、次重音(S)和非重音(N),但是次重音可能在不同的单词发音和不同的口音中有所不同,这给人类的感知带来了困难。因此,基于所有三个层次的词汇重音评估(即,P-S-N标准,要求一个单词中的所有音节必须按重音正确分类)可能过于严格,我们可以考虑将其放宽为P-N或a -P-N标准——前者只要求主重音的正确位置,而后者进一步放宽,允许主重音和次重音之间的混淆。将音节重音自动检测系统应用于二语学习者的语音中。它对一个单词中所有音节的输出是根据P-S-N、P-N或a -P-N标准进行评估的。词汇重音模式的自动和人工评估的比较表明,a - p - n标准可以在适应变异和筛选有问题的模式之间取得很好的平衡,平均单词准确率为79.6%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Perceptually-motivated assessment of automatically detected lexical stress in L2 learners' speech
This paper presents a method of automatic lexical stress assessment for L2 English speech. Syllable stress can be labeled at three levels - primary (P), secondary (S) and no (N) stress, but secondary stress may vary among word pronunciations within and across accents and present difficulties for human perception. Hence, evaluation of lexical stress based on all three levels (i.e., the P-S-N criterion which requires that all syllables in a word must be correctly classified in terms of stress) may be too strict, and we may consider relaxing it to either the P-N or A-P-N criterion - the former only requires the correct placement of primary stress, while the latter relaxes further to allow for confusion between primary and secondary stress. An automatic syllable stress detector is applied to L2 learners' speech. Its output for all the syllables in a word is evaluated in terms of the P-S-N, P-N or A-P-N criterion. Comparisons between automatic and manual assessments of lexical stress patterns suggests that the A-P-N criterion can strike a good balance between accommodating variability and screening out problematic patterns, giving an average word accuracy of 79.6%.
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