Automatic evaluation of spoken english fluency
Automatic evaluation of spoken english fluency
复制标题
英语口语流利度自动评估
DOI：
10.1109/icassp.2009.4960712
复制
发表时间：
2009
期刊：
影响因子：
--
通讯作者：
Kartik Audhkhasi
中科院分区：
文献类型：
--
作者：
Om Deshmukh;Kundan Kandhway;Ashish Verma;Kartik Audhkhasi
本文提出了一种自动量化说话人英语口语流利性技能的方法。这项工作的重点是自动计算口语流利度的数字分数，该分数与人类评估员分配的数字分数相关。该方法结合了几个新的韵律和词汇功能来计算流畅度分数。研究表明，韵律和词汇特征为流利性评估提供了互补信息。对人类标记的话语进行的广泛评估表明，所提出的技术在性能和混淆方面表现出与人类评估员相似的趋势。所提出的技术导致84.2%的分类准确率时，被认为是两个极端类的流畅性。
This paper presents a method to automatically quantify the spoken English fluency skills of speakers. The focus of this work is to automatically compute a numeric score of spoken fluency that is correlated with the numerical score the human assessors would assign. The proposed method combines several novel prosodic and lexical features to compute the fluency score. It is shown that the prosodic and the lexical features provide complementary information for fluency evaluation. Extensive evaluation on human-labeled utterances shows that the proposed technique exhibits similar trends in performance and confusions as shown by human assessors. The proposed technique leads to 84.2% classification accuracy when the two extreme classes of fluency are considered.