Shrivastav Rahul
Communication Sciences and Disorders, University of Florida, Gainesville, Florida 32611, USA.
J Voice. 2003 Dec;17(4):502-12. doi: 10.1067/s0892-1997(03)00077-8.
Despite much research, the relationship between vocal acoustic signals and perceived voice quality is not well understood. The present study used an auditory model proposed by Moore et al to study how changes in the acoustic spectrum may relate to changes in perceptual ratings of breathiness. Perceptual ratings of breathiness were obtained using a multidimensional scaling (MDS) design. The stimulus distances on the dominant MDS dimension were correlated with several commonly used acoustic measures for voice quality. These distances were also compared with measures obtained from the output of the auditory model. Results show that the partial loudness of the harmonic energy obtained with the aspiration noise acting as a masker was the most important predictor of perceptual ratings of breathiness. Results also demonstrate that measures obtained from the auditory spectrum were better predictors of perceptual ratings of breathiness than were commonly used acoustic spectral measures.
尽管进行了大量研究，但人们对声学信号与感知到的语音质量之间的关系仍未完全理解。本研究使用了摩尔等人提出的听觉模型，来研究声谱变化与呼吸声感知评分变化之间的关系。呼吸声的感知评分采用多维标度法（MDS）设计获得。在主要的MDS维度上的刺激距离与几种常用的语音质量声学指标相关。这些距离也与从听觉模型输出中获得的指标进行了比较。结果表明，以吸气噪声作为掩蔽音获得的谐波能量的部分响度是呼吸声感知评分的最重要预测指标。结果还表明，从听觉频谱获得的指标比常用的声学频谱指标更能预测呼吸声的感知评分。
