Speech recognition rates and acoustic analyses of English vowels produced by Korean students

Byunggon Yang
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Abstract

English vowels play an important role in verbal communication. However, Korean students tend to experience difficulty pronouncing a certain set of vowels despite extensive education in English. The aim of this study is to apply speech recognition software to evaluate Korean students’ pronunciation of English vowels in minimal pair words and then to examine acoustic characteristics of the pairs in order to check their pronunciation problems. Thirty female Korean college students participated in the recording. Speech recognition rates were obtained to examine which English vowels were correctly pronounced. To compare and verify the recognition results, such acoustic analyses as the first and second formant trajectories and durations were also collected using Praat. The results showed an overall recognition rate of 54.7%. Some students incorrectly switched the tense and lax counterparts and produced the same vowel sounds for qualitatively different English vowels. From the acoustic analyses of the vowel formant trajectories, some of these vowel pairs were almost overlapped or exhibited slight acoustic differences at the majority of the measurement points. On the other hand, statistical analyses on the first formant trajectories of the three vowel pairs revealed significant differences throughout the measurement points, a finding that requires further investigation. Durational comparisons revealed a consistent pattern among the vowel pairs. The author concludes that speech recognition and analysis software can be useful to diagnose pronunciation problems of English-language learners.
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韩国学生英语元音的语音识别率和声学分析
英语元音在言语交际中起着重要的作用。然而,韩国学生虽然接受了广泛的英语教育,但在某些元音的发音上往往存在困难。本研究的目的是利用语音识别软件评估韩国学生在最小对词中的英语元音发音,然后检查对的声学特征,以检查其发音问题。30名韩国女大学生参与了录音。语音识别率是用来检查哪些英语元音发音正确。为了比较和验证识别结果,还使用Praat收集了第一和第二形成峰轨迹和持续时间等声学分析。结果显示,总体识别率为54.7%。一些学生错误地转换了紧张和松弛的对应物,对质量不同的英语元音发出相同的元音。从元音形成峰轨迹的声学分析来看,这些元音对在大多数测点上几乎重叠或表现出轻微的声学差异。另一方面,对三个元音对的第一形成峰轨迹的统计分析显示,在整个测量点上存在显著差异,这一发现需要进一步研究。持续时间的比较揭示了元音对之间的一致模式。作者认为语音识别和分析软件可以有效诊断英语学习者的发音问题。
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