Head-related transfer function personalization method based on image encoder

The invention discloses a head related transfer function (HRTF) personalization method based on an image encoder, which comprises the following steps of: replacing auricle parameters with ear images to serve as a part of input, carrying out encoding and characterization learning on the ear images by using the image encoder, and on the other hand, analyzing the influence of human physiological parameters on the personalization HRTF so as to realize the personalization of the HRTF. And selecting the optimal parameter as the other part of the input of the personalized model, inputting the two parts to establish a nonlinear mapping relation model with the HRTF, respectively carrying out loss value calculation on the HRTF generated by the model and the actually measured HRTF in an amplitude part and a phase part, feeding back the calculated loss values to the model, and carrying out fine tuning to obtain a robust personalized HRTF prediction model. The personalized HRTF generated by the method can be directly conv