组合耳间线索失真对整体音频质量影响的研究
Investigations on the Influence of Combined Inter-Aural Cue Distortions on Overall Audio Quality
摘要:
人们对开发可以预测感知编码信号的音频质量的算法非常感兴趣,以避免在开发期间进行大量听力测试的成本。虽然许多已建立的用于预测具有单声道(音色)失真的信号的感知质量的算法是可用的(PEAQ、POLQA),但是预测立体声和多声道空间信号的质量劣化仍然被认为是一个挑战。由空间失真引起的音频质量劣化通常根据公知的耳间线索失真测量来测量,例如耳间电平差失真(ILDD)、耳间时间差失真(ITDD)和耳间互相关失真(IACCD)。然而,它们的相互作用在多大程度上影响了复杂信号中的整体音频质量劣化,例如,在多个刺激测试中,还没有彻底研究。我们提出了一个系统的方法,介绍了一组代表性的信号的空间失真的控制组合,并评估其对整体感知质量下降的影响,通过分析所述信号的听力测试成绩。从这项研究中,我们得出的指导方针,设计有意义的失真措施,考虑耳间线索失真的相互作用。
英文摘要:
There is a considerable interest in developing algorithms that can predict audio quality of perceptually coded signals to avoid the cost of extensive listening tests during development time. While many established algorithms for predicting the perceived quality of signals with monaural (timbral) distortions are available (PEAQ, POLQA), predicting the quality degradation of stereo and multi-channel spatial signals is still considered a challenge. Audio quality degradation arising from spatial distortions is usually measured in terms of well known inter-aural cue distortion measures such as Inter-aural Level Difference Distortions (ILDD), Inter-aural Time Difference Distortions (ITDD) and Inter-aural Cross Correlation Distortions (IACCD). However, the extent to which their interaction influences the overall audio quality degradation in complex signals as expressed - for example - in a multiple stimuli test is not yet thoroughly studied. We propose a systematic approach that introduces controlled combinations of spatial distortions on a representative set of signals and evaluates their influence on overall perceived quality degradation by analyzing listening test scores over said signals. From this study we derive guidelines for designing meaningful distortion measures that consider inter-aural cue distortion interactions.
机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。