Asynchronous HRTF (Head Related Transfer Function) measurement method based on phase compensation

Abstract

The invention discloses an asynchronous HRTF (Head Related Transfer Function) measurement method based on phase compensation. The method comprises the steps: 1), measuring transfer functions of a linear time invariant system for many times; 2), carrying out the phase compensation of transfer functions measured in different play periods, and compensating for the time difference among different play periods; 3), carrying out the averaging of the transfer functions in a time domain after phase compensation, and obtaining an HFTF. The method carries out the phase compensation of the HRTFs of different measurement periods because of time difference generated by asynchronous measurement, and reduces the background noise in an HRTF measurement environment, thereby obtaining a high signal to noise ratio HRTF measurement result.

Description

technical field [0001] The invention belongs to the technical field of signal processing, relates to a head-related transfer function and virtual hearing, in particular to a method for measuring and analyzing the head-related transfer function. Background technique [0002] Hearing plays a very important role in human life. It senses the sound of the surrounding environment to make corresponding judgments and decisions. In addition to subjective attributes such as the intensity, pitch, and timbre of sound, human hearing can also make judgments about the direction and distance of the sound source. After the sound wave from the sound source reaches the human ears, it is finally perceived by the scattering and reflection of the listener's head, auricle, torso and other physiological structures. The study of human's ability to perceive the spatial characteristics of sound has always been a research topic in acoustics and auditory psychology, and has very important scientific r...

AI Technical Summary

Problems solved by technology

[0006] In the experimental measurement of HRTF, the method of taking the average of multiple measurements can reduce the noise, but because the timing modules (crystal oscillators) of the recording device and the playback device in the asynchronous measurement system cannot be guaranteed to be completely consistent, this leads to the difference between the playback signal and the recording signal. Deviations in the time stamps, especially in the case of cyclic playback of signals, as the number of playback cycles increases and the playback time prolongs, the deviation will continue to increase, resulting in different times in the time domain for the measured transfer functions of each cycle, resulting in large deviations, such as figure 1 shown

Therefore, averaging the measured HRIR directly will not reduce the measurement noise, but will result in a distorted transfer function

Therefore, there are certain defects in the method of directly averaging the measurement results to reduce the measurement noise.

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