Selecting method and device of user-friendly head transferring function

Abstract

The invention belongs to the technical field of computers, and provides a selecting method and device of a user-friendly head transferring function. The method comprises the steps of obtaining sampledata, classifying the sample data, screening characteristic parameters from the classified sample data, screening HRTF data matched with the characteristic parameters from characteristic part data, obtained in advance, of a testeee, according to the locating precision, the front-and-back confusion degree and the orientation sensing accuracy of the testee for sound of an acoustic sound listening test, determining target HRTF data in the HRTF data, and according to psychological factor sensing characteristics of the testee, judging whether data of the testee in the acoustic sound listening testis effective or not; if yes, according to a subjective fine-tuning method, adjusting the target HRTF data. By means of the selecting method and device of the user-friendly head transferring function,according to the already measured HRTF data, the HRTF data most suitable for the testee himself / herself can be quickly and efficiently selected.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a method and device for selecting a personalized head transfer function. Background technique [0002] The head-related transfer function (HRTF) describes the process of sound waves from the sound source to the ears in a free sound field, and mainly reflects the comprehensive filtering effect of the head, auricle, torso and other body parts on the sound waves. [0003] However, for different people, each person's own physiological structure is different, and their filtering effects on sound waves are also different, so each person will have their own personalized HRTF. However, in the actual application process, due to the influence of the test environment and experimental conditions, it is difficult to measure and calculate each individual's personalized HRTF, and in practical applications, it is impossible to perform a relevant individualized HRTF measurement for everyone , ...

AI Technical Summary

Problems solved by technology

However, in the actual application process, due to the influence of the test environment and experimental conditions, it is difficult to measure and calculate each individual's personalized HRTF, and in practical applications, it is impossible to perform a relevant individualized HRTF measurement for everyone , and then in the design of the application, it is obviously not practical

[0004] In the existing method, there is a competition method to select non-personalized HRTF. However, the selection of this method is relatively rough, and the required data cannot be obtained well in a large amount of data. Only two HRTF data are randomly selected. Two comparisons, when the number of eliminations of the two losers reaches the preset number, the comparison ends

This comparison is not completely fair, and it is likely that there will be data that is not completely suitable for the characteristics of the tester in the remaining HRTF data that has not been eliminated.

[0005] Moreover, the selection method is too single, and only the competition method is used for selection throughout the article, and the competition selection method itself has a large error

Moreover, for the human ear, its ability to distinguish the direction of the sound source is not very accurate, and there are certain errors. The azimuth angle perceived by the above method is not very accurate.

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