Correlation Analysis of Acoustic Features with Perceptual Voice Quality Similarity for Similar Speaker Selection
Correlation Analysis of Acoustic Features with Perceptual Voice Quality Similarity for Similar Speaker Selection
复制标题
声学特征与感知语音质量相似度的相关性分析用于相似说话者选择
DOI：
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发表时间：
2011
期刊：
影响因子：
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通讯作者：
Hideyuki Mizuno
中科院分区：
文献类型：
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作者：
Yusuke Ijima;Mitsuaki Isogai;Hideyuki Mizuno
本文描述了各种声学特征和感知语音质量相似性之间的相关性。我们专注于识别与语音质量相似性相关的声学特征。首先，使用62个说话人的声音进行大规模的感知实验，并获得每对说话人之间的感知相似性得分。其次，进行多元线性回归分析，它表明，五个声学特征表现出较高的相关性，语音质量相似性。最后，我们执行类似的说话人选择基于多元线性回归与上述功能，此外，评估其性能分类的基础上的感知相似性的说话人。结果表明，将说话人分为两类的五个声学特征的组合在选择具有相似语音质量的说话人方面是有效的;与仅使用倒谱相比，它将错误率降低了约44%。
This paper describes the correlations between various acoustic features and perceptual voice quality similarity. We focus on identifying the acoustic features that are correlated with voice quality similarity. First, a large-scale perceptual exper-iment using the voices of 62 speakers is conducted and perceptual similarity scores between each pair of speakers are acquired. Next, multiple linear regression analysis is carried out; it shows that five acoustic features exhibit high correlation to voice quality similarity. Last, we perform similar speaker selection based on multiple linear regression with the above features and moreover, assess its performance by classifying speakers based on the perceptual similarity. The results indicate that the combination of the five acoustic features in classifying speakers into two classes is effective in choosing speakers with similar voice quality; it reduces the error rate by about 44 % compared to using just the cepstrum.