Incorporated speech overlapped factor (Φ) into speech clarity index (Ψ): method to improve dysarthric speech severity evaluation

P. Kayasith, T. Theeramunkong, Nuttakorn Thubthong
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引用次数: 1

Abstract

Dysarthria is a name given to a group of speech disorders. Our research focuses on developing an automated system for dysarthric speech assessment. Being different from traditional speech assessments which normally rely on human-perceptual analyses, this paper proposes an indicator called modified speech clarity index). By incorporating a speech overlapped factor (φ) into the previous version of the speech clarity index (ψ), the ψ achieves a better performance as a speech severity index and speech recognition rate predictor for people with dysarthria. A number of experiments are made to compare predicted recognition rates, generated by ψ, with the recognition rates from HMM and ANN system. The effectiveness of the indicator is evaluated in terms of (i) root-mean-square distance, (ii) correlation coefficient, and (iii) rank-order inconsistency. The experiments on a control set and an unknown set of eight dysarthric speakers show that ψ achieves the outstanding results when compared to the standard assessments.
将语音重叠因子(Φ)纳入语音清晰指数(Ψ):改进语音困难严重程度评价的方法
构音障碍是一组语言障碍的统称。我们的研究重点是开发一个自动化的语言障碍评估系统。不同于传统的语音评估通常依赖于人的感知分析,本文提出了一种改进的语音清晰度指数(ψ†)。通过在先前版本的语音清晰度指数(ψ)中加入语音重叠因子(φ), ψ†作为语音严重程度指数和语音识别率预测器对构音障碍患者有更好的表现。通过实验将ψ†生成的预测识别率与HMM和ANN系统的识别率进行了比较。该指标的有效性是根据(i)均方根距离,(ii)相关系数和(iii)秩序不一致性来评估的。实验结果表明,与标准评估相比,ψ†达到了较好的效果。
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