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HRTF dividing band linear regression method based on physiological parameters

A technique of physiological parameters and linear regression, applied in the field of sound source sub-information, can solve problems such as lack of persuasiveness, failure to consider the correlation of physiological parameters, etc., and achieve accurate results

Active Publication Date: 2019-01-08
NORTHWESTERN POLYTECHNICAL UNIV
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Problems solved by technology

Physiological parameters obtained through experience are not convincing in theory. In contrast, physiological parameters obtained through correlation analysis have a certain theoretical basis. However, this correlation analysis only considers the correlation between physiological parameters. , without considering the correlation between physiological parameters and HRTF

Method used

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  • HRTF dividing band linear regression method based on physiological parameters
  • HRTF dividing band linear regression method based on physiological parameters
  • HRTF dividing band linear regression method based on physiological parameters

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Embodiment

[0070] Step 1: Select the HRTF of all subjects at a specific orientation (0°, 0°), conduct principal component analysis on the HRTF of this orientation, and obtain the principal component of this orientation.

[0071] (1) Select HRTF of all subjects at azimuth angle (0°, 0°) to form vector D ij , where i is the sequence of subjects, j is the frequency number, and the number of subjects is m.

[0072] (2) to D ij Do standardization.

[0073]

[0074] in, Indicates the standardized head-related transfer function of the ith subject at frequency j.

[0075] (3) Perform principal component analysis on the standardized head-related transfer function.

[0076]

[0077] Among them, P m×n is the score matrix of principal component analysis; W is the loading matrix of principal component analysis; refer to figure 2 , the first ten principal components obtained by principal component analysis explain more than 90 percent of the original data.

[0078] Step 2: Perform corre...

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Abstract

The invention provides a HRTF frequency division band linear regression method based on physiological parameters. Firstly, HRTF of different subjects under the same azimuth in a CIPIC database is selected for principal component analysis to obtain principal component under the azimuth. Then, the correlation between principal components and physiological parameters of different subjects at different frequencies was calculated. The physiological parameters of low frequency, middle frequency and high frequency were obtained by statistical method. Finally, through the selected physiological parameters of low-frequency, intermediate-frequency and high-frequency linear fitting, phase reconstruction by the minimum phase method. The invention has different influence on different physiological parameters, The correlation analysis is applied to obtain physiological parameters affecting HRTF in different frequency bands, and linear regression is carried out by using the physiological parameters,so that the HRTF synthesized by the invention is clearer in theory and the results of linear regression are more accurate for each frequency band respectively.

Description

technical field [0001] The invention relates to the field of sound source sub-information, in particular to a HRTF linear regression method based on physiological parameters. Background technique [0002] Head Related Transfer Function (Head Related Transfer Function, HRTF) is used to describe the frequency domain acoustic transfer function that the sound emitted by the free field sound source reaches the binaural ears after being scattered and reflected by the head, auricle, trunk and other physiological structures. Each sound source spatial position corresponds to a pair of HRTFs, which are generally functions of the distance from the sound source to the center of the head, the azimuth and elevation angles of the sound source, and the frequency. Since the physiological structure and size of different individuals are different, HRTF is closely related to the physiological structure and size, so it is a physical quantity with obvious personal characteristics. [0003] The f...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G10L25/48G10L25/51G10L25/27G06K9/62G06F17/18
CPCG06F17/18G10L25/27G10L25/48G10L25/51G06F18/2135
Inventor 曾向阳路东东黄婉秋王蕾
Owner NORTHWESTERN POLYTECHNICAL UNIV
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