| Summary: | 碩士 === 大同大學 === 資訊工程學系(所) === 100 === In recent years, the 3D audio effect is widely used in many applications. To produce 3D audio effect as real, the localization of sound source must be discussed. Because person's exterior is different to others, for example the torso, the shoulder, the head, and the auricle. These differences accomplish each person's unique HRTF (Head Related Transfer Function). Although there are many ways to personalize the HRTF, in this paper it is expected to find a easy and fast way to obtain the suitable personalized HRTF. That is a way to listen and synthesize the personalized HRTF.
In this paper, an algorithm is proposed to synthesize the personalized HRTF by improving the classification of samples and the measurement of location angle. At first, classify the HRTF of samples from CIPIC, use signal characteristics of classified database, and find the representation frequency of each of angle. Then, the characteristic frequency is used to filter samples. The filtered samples are synthesized a HRTF that is used to evaluate by listening tests. The algorithm of this paper is different from previous researches that is needed to listen to many samples to find personalized HRTF. Therefore, the times of the listening test can be reduced.
To verify the personalized HRTF, the angle of localized sound source is measured by sensor in this paper. The error due to human interpretation can be avoid to improve the accuracy of the measured angle.
Compared with previous research, the time is shortened by approximately 31%, the angle of error is reduced by about 32%, and the standard deviation is also decreased by approximately 38%. Therefore, improving the classification of samples and measurement of angle can have a significant effect.
|
|---|
