As the application of 3D sound becomes increasingly widespread,binaural rendering of 3D sound has emerged as a new technological focus.The effective evaluation of binaural rendering algorithms for 3D sound has become a key issue.In this paper subjective quality assessment experiments on six different binaural rendering algorithms for 3D sound were conducted,followed by variance analysis and regression analysis of the experimental data.Objective features were extracted and selected from binaural recordings,and a partial least squares regression analysis was performed to establish an objective evaluation model for overall sound quality dimensions.The relationship between subjective perception and objective features was also explored.The subjective experimental results indicate that the binaural rendering algorithm processing can have a negative impact on sound quality.However,compensating for sound quality using algorithmic adjustments can partially mitigate the sound quality degradation caused by the rendering algorithm.The objective prediction model reveals that sound quality is highly correlated with time-frequency features in the frequency ranges of 2560-5120Hz and 40-320Hz,such as spectral flux and spectral rolloff.Additionally,the interaural cross-correlation coefficient and lateral sound energy ratio in the low-frequency range are important features influencing sound quality dimensions.
维普
万方数据
