The Perceptual Evaluation of Audio Quality (PEAQ) method as described in the International Telecommunication Union (ITU) recommendation ITU-R BS.1387 has been widely used for computationally estimating the quality of perceptually coded audio signals without the need for extensive subjective listening tests. However, many reports have highlighted clear limitations of the scheme after the end of its standardization, particularly involving signals coded with newer technologies such as bandwidth extension or parametric multi-channel coding. Until now, no other method for measuring the quality of both speech and audio signals has been standardized by the ITU. Therefore, a further investigation of the causes for these limitations would be beneficial to a possible update of said scheme. Our experimental results indicate that the performance of PEAQ's model of disturbance loudness is still as good as (and sometimes superior to) other state-of-the-art objective measures, albeit with varying performance depending on the type of degraded signal content (i.e. speech or music). This finding evidences the need for an improved cognitive model. In addition, results indicate that an updated mapping of Model Output Values (MOVs) to PEAQ's Distortion Index (DI) based on newer training data can greatly improve performance. Finally, some suggestions for the improvement of PEAQ are provided based on the reported results and comparison to other systems.
翻译:国际电信联盟(国际电联)建议ITU-R BS.1387中描述的音质概念评价方法(PEAQ)已被广泛用于计算估计感知编码音频信号的质量,而无须进行广泛的主观听觉测试,然而,许多报告都强调,在标准化结束后,这一办法显然存在局限性,特别是使用带宽扩展或参数多通道编码等新技术编码的信号;直到目前,国际电联尚未对衡量语音和音频信号质量的其他方法进行标准化。因此,进一步调查这些限制的原因将有助于对所述办法进行可能的更新。我们的实验结果表明,PEAQ的扰动响声模型的性能仍然好于(有时优于)其他最新客观措施,尽管其性能因信号内容(即语音或音乐)的退化而不同。这一发现证明需要改进认知模式。此外,对模型输出值(MOVs)进行更新后,根据PEAQMLA结果对模型进行了一些改进后的数据进行比较。