CN106162499B - The personalized method and system of a kind of related transfer function - Google Patents

The personalized method and system of a kind of related transfer function Download PDF

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CN106162499B
CN106162499B CN201610514079.9A CN201610514079A CN106162499B CN 106162499 B CN106162499 B CN 106162499B CN 201610514079 A CN201610514079 A CN 201610514079A CN 106162499 B CN106162499 B CN 106162499B
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hrir
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CN106162499A (en
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陈喆
殷福亮
张古强
袁康
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Dalian University of Technology
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04SSTEREOPHONIC SYSTEMS 
    • H04S1/00Two-channel systems
    • H04S1/002Non-adaptive circuits, e.g. manually adjustable or static, for enhancing the sound image or the spatial distribution
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04SSTEREOPHONIC SYSTEMS 
    • H04S1/00Two-channel systems
    • H04S1/002Non-adaptive circuits, e.g. manually adjustable or static, for enhancing the sound image or the spatial distribution
    • H04S1/005For headphones
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04SSTEREOPHONIC SYSTEMS 
    • H04S2420/00Techniques used stereophonic systems covered by H04S but not provided for in its groups
    • H04S2420/01Enhancing the perception of the sound image or of the spatial distribution using head related transfer functions [HRTF's] or equivalents thereof, e.g. interaural time difference [ITD] or interaural level difference [ILD]

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  • Engineering & Computer Science (AREA)
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Abstract

The invention belongs to signal processing technology field, there is provided the personalized method and system of a kind of related transfer function.This method and system initially set up distance model, obtain to apart from related sound-source signal, modeled respectively to horizontal angle and elevation angle using PCA afterwards, during HRTF personalized regulation, personalized regulation is carried out to model parameter using to the related sound-source signal of distance, to experience the correct orientation of sound source, then the HRTF of personalization is obtained, realize the combination of structuring HRTF models and PCA coefficient adjustments, because the distance model of foundation take into account the distance between sound source and ears factor, gauger is allowd to experience the change of distance, the HRTF thus obtained personalised effects are good, accuracy is high.

Description

The personalized method and system of a kind of related transfer function
Technical field
The invention belongs to field of signal processing, more particularly to a kind of biography related to the head of principal component analysis based on structural model The personalized method of delivery function, system.
Background technology
With the fast development of virtual reality technology, 3D audios are pursued with its " telepresenc ", " feeling of immersion ".Ears are listened Feel technology utilizes head related transfer function (Head-Related Transfer Function, HRTF) reduction three-dimensional sound field.
HRTF is the ratio between acoustic pressure of acoustic pressure and free space (when not having observer, the central spot of head) at ear-drum, It is direction, distance, the function of frequency, and its time-domain representation is a related impulse response (Head-Related Impulse Response, HRIR), left and right ear has respective HRTF.Binaural technology is by sound source and given locus or so ear HRIR convolution, play to ears with earphone and listen, obtain Virtual space position, so as to reduce three-dimensional sound field.
Because everyone physiological structure is different, HRTF is also different, in order to preferably reduce three-dimensional sound field, it is necessary to obtain individual The HRTF of property.In the prior art, HRTF personalized method mainly has:
First, structural model method.Different physiological structures is indicated by this method with various filter constructions, each physiology Structure individually considers to represent the contribution of each part with a subfilter structure, and the combined effect of all subfilters has represented Whole HRTF.Filter system in this method is more, it is necessary to which the filter system of regulation is more when obtaining personalized HRTF;And And this method does not account for the distance between sound source and ears factor, and during HRTF personalized regulation, human ear is listened It is the foundation of regulation to feel feedback, in order to reduce real three-dimensional sound field, it is necessary to take into account distance factor, otherwise, the HRTF of acquisition Personalised effects are poor, accuracy is poor.
2nd, principal component analysis (Principal Components Analysis, PCA) method.This method is with PCA to HRTF Or HRIR modelings, maximum 3~5 base vectors (Principal Component, PC) of selection standard difference, tester passes through tune Section interface constantly adjusts basal orientation coefficient of discharge (Principal Component Weight, PCW) to obtain accurate space Sense.Similarly, this method does not account for the distance between sound source and ears factor, cause obtain HRTF personalised effects compared with Difference, accuracy are poor.
The content of the invention
The purpose of the embodiment of the present invention is the personalized method and system for providing a kind of related transfer function, it is intended to solves Certainly the personalized method for the HRTF that prior art provides does not account for the distance between sound source and ears factor, causes what is obtained The problem of HRTF personalised effects are poor, accuracy is poor.
The embodiment of the present invention is achieved in that the personalized method of a kind of related transfer function, and methods described includes Following steps:
S1:Monophonic sound source input signal is carried out to handle with apart from related Gain filter, obtain to apart from related Left otoacoustic emission source output signal and to distance related auris dextra sound source output signal;
S2:Based on the measurement data of HRTF databases, principal component analysis is carried out to the horizontal angle under ears polar coordinate system, with HRIR is reconstructed, and with reference to the left otoacoustic emission source output signal and the auris dextra sound source output signal, adjusts HRIR, obtains personalization HRIR;
S3:Based on the measurement data of HRTF databases, principal component analysis is carried out to the elevation angle under ears polar coordinate system, with PRIR is reconstructed, and with reference to the left otoacoustic emission source output signal and the auris dextra sound source output signal, adjusts PRIR, obtains personalization PRIR.
The another object of the embodiment of the present invention is the personalization system for providing a kind of related transfer function, the system Including:
Gain filter module, for being carried out to monophonic sound source input signal to apart from related Gain filter processing, obtaining To the left otoacoustic emission source output signal related to distance and the auris dextra sound source output signal related with distance;
Horizontal angle personality module, for the measurement data based on HRTF databases, to the level under ears polar coordinate system Angle carries out principal component analysis, to reconstruct HRIR, and the left otoacoustic emission source output signal obtained with reference to the Gain filter module With the auris dextra sound source output signal, HRIR is adjusted, obtains the HRIR of personalization;
Elevation angle personality module, for the measurement data based on HRTF databases, to the height under ears polar coordinate system Angle carries out principal component analysis, to reconstruct PRIR, and the left otoacoustic emission source output signal obtained with reference to the Gain filter module With the auris dextra sound source output signal, PRIR is adjusted, obtains the PRIR of personalization.
The personalized method and system of head related transfer function provided by the invention initially set up distance model, obtain with away from From the sound-source signal of correlation, modeled respectively to horizontal angle and elevation angle using PCA afterwards, in HRTF personalized regulation process In, personalized regulation is carried out to model parameter using to the related sound-source signal of distance, to experience the correct orientation of sound source, after And personalized HRTF is obtained, the combination of structuring HRTF models and PCA coefficient adjustments is realized, due to the distance model of foundation Take into account the distance between sound source and ears factor so that gauger can experience the change of distance, thus obtain HRTF personalised effects are good, accuracy is high.
Brief description of the drawings
Fig. 1 is ears polar coordinate system schematic diagram;
Fig. 2 is the flow chart of the personalized method for the head related transfer function that the embodiment of the present invention one provides;
Fig. 3 is the detail flowchart of Gain filter processing step in the embodiment of the present invention one;
Fig. 4 is the detail flowchart of horizontal angle personalization step in the embodiment of the present invention one;
Fig. 5 is the detail flowchart of elevation angle personalization step in the embodiment of the present invention one;
Fig. 6 is the detail flowchart of horizontal angle personalization step in the embodiment of the present invention two;
Fig. 7 is the structure chart of the personalization system for the head related transfer function that the embodiment of the present invention three provides;
Fig. 8 is the structure chart of Gain filter module in the embodiment of the present invention three;
Fig. 9 is the structure chart of horizontal angle personality module in the embodiment of the present invention three;
Figure 10 is the structure chart of elevation angle personality module in the embodiment of the present invention three;
Figure 11 is the structure chart of horizontal angle personality module in the embodiment of the present invention four.
Embodiment
Describe the embodiment of the present invention in detail below in conjunction with technical scheme and accompanying drawing.
To solve the problems, such as that prior art is present, the present invention initially sets up distance model, obtain to apart from related sound source Signal, modeled respectively to horizontal angle and elevation angle using PCA afterwards, during HRTF personalized regulation, using with distance Related sound-source signal carries out personalized regulation to model parameter, to experience the correct orientation of sound source, then obtains personalized HRTF.
The present invention describes the relative position of sound source and human body using ears polar coordinate system.As shown in figure 1, ears polar coordinates System is defined using ears line midpoint as the origin of coordinates:Horizontal plane, i.e., through origin plane parallel to the ground;Middle vertical plane, The plane that will divide equally through origin at left and right sides of human body;Frontal plane, i.e., through origin and ears line, perpendicular to the ground by people Realize as front and rear two-part plane;Angle between horizontal angle θ, i.e. sound source and origin line and middle vertical plane;Elevation angleI.e. Sound source and ears line form the angle between half-plane and first half horizontal plane;The incidence angle θ of left earlinc, i.e. origin to sound The ray and origin in source are to the angle between the ray of left ear;The incidence angle θ of auris dextrarinc, i.e., the ray of origin to sound source with it is former The angle that point is arrived between the ray of auris dextra;The distance of distance r, i.e. sound source to origin.In the front of tester, horizontal angle θ and Elevation angleAll it is 0 °;When horizontal angle θ is 0 °, elevation angleChange in middle vertical plane, topFor 90 °, rearFor 180 °, lower sectionFor 270 °;Work as elevation angleFor 0 ° when, horizontal angle θ horizontal plane change, auris dextra be 90 °, rear be 180 °, Left ear is 270 °.
Describe the implementation of the present invention in detail below with reference to embodiment:
Embodiment one
The embodiment of the present invention one provides the personalized method of a kind of related transfer function, as shown in Fig. 2 including following Step:
S1:Monophonic sound source input signal is carried out to handle with apart from related Gain filter, obtain to apart from related Left otoacoustic emission source output signal and to distance related auris dextra sound source output signal.
Further, as shown in figure 3, step S1 comprises the following steps:
S11:Calculate the DC current gain estimate of left earWith the DC current gain estimate of auris dextraWherein, left ear DC current gain estimateIt is represented by:
The DC current gain estimate of auris dextraIt is represented by:
Wherein, θlincFor the incidence angle of left ear, θrincFor the incidence angle of auris dextra, ρ is sound source and the distance r and head at head center The ratio of radius, p11、p21、q11、q21Respectively polynomial coefficient, it can be obtained by looking into following table one such as:
Table one
In Table 1, the incidence angle θ of left earlincOr the incidence angle θ of auris dextrarincSpan be 0 °, 10 ° ..., 180 °, If the incidence angle θ of actually measured left earlincOr the incidence angle θ of auris dextrarincValue not in this scope, then can be to neighbouring angle Result of calculation carry out linear interpolation and obtain.For example, if the incidence angle θ of actually measured left earlinc=5 °, then distinguish Calculate the incidence angle θ of left earlinc=0 ° and the incidence angle θ of left earlincThe DC current gain estimate of left ear at=10 °It Two obtained values are averaged afterwards, the incidence angle θ as left earlincThe DC current gain estimate of left ear at=5 °I.e. Can.
S12:Calculate the first order IIR filtering device coefficient h of left earlshWith the first order IIR filtering device coefficient h of auris dextrarsh
Near field transfer function Gl0(or Gr0) amplitude-frequency response the characteristics of be:When the incidence angle θ of left earlinc(or auris dextra enters Firing angle θrinc) it is smaller when, the similar frequency response for tilting mode filter of amplitude-frequency response, with the incidence angle θ of left earlinc(or auris dextra enters Firing angle θrinc) increase, low-pass characteristic is gradually presented in amplitude-frequency response.In the present invention, using the first order IIR filtering device H of left earlshRetouch State incidence angle θ of the amplitude-frequency response with left earlincVariation characteristic, using the first order IIR filtering device H of auris dextrarshAmplitude-frequency response is described With the incidence angle θ of auris dextrarincVariation characteristic.
In the present invention, the first order IIR filtering device coefficient h of left earlshZ domains expression formula be:
Wherein,
Hl0=Vl0-1
Wherein, fsFor sample frequency,For the high-frequency gain of left ear,For the cut frequency of left ear,WithIt can distinguish It is expressed as:
Wherein, p12、p22、q12、q22Respectively polynomial coefficient, it can be obtained by looking into following table two such as:
Table two
Wherein, p13、p23、p33、q13、q23Respectively polynomial coefficient, it can be obtained by looking into following table three such as:
Table three
Similarly, in the present invention, the first order IIR filtering device coefficient h of auris dextrarshZ domains expression formula be:
Wherein,
Hr0=Vr0-1
Wherein, fsFor sample frequency,For the high-frequency gain of auris dextra,For the cut frequency of auris dextra,WithIt can divide It is not expressed as:
Wherein, p12、p22、q12、q22Respectively polynomial coefficient, it can be obtained by looking into upper table two such as.Wherein, p13、p23、 p33、q13、q23Respectively polynomial coefficient, it can be obtained by looking into upper table three such as.
S13:Calculate left otoacoustic emission source output signal ylAnd auris dextra sound source output signal y (t)r(t) so that:
Wherein, x (t) is the monophonic sound source signal of input, and " " represents to be multiplied, and " * " represents convolution.
S2:Based on the measurement data of HRTF databases, principal component analysis is carried out to the horizontal angle under ears polar coordinate system, with HRIR is reconstructed, and combines left otoacoustic emission source output signal and auris dextra sound source output signal, adjusts HRIR, obtains the HRIR of personalization.
Wherein, HRTF databases can be KEMER-MIT databases, LISTEN databases, CIPIC databases, for just In description, the present invention only illustrates by taking CIPIC as an example.The measurement object of CIPIC databases includes 43 true man and 2 average Dummy head, elevation angle 50,230.625 ° are changed to from -45 °, horizontal angle 25,80 ° are changed to from -80 °, 1250 altogether Space measurement orientation, each HRIR have 200 sampled datas, length 4.5ms.Especially, CIPIC databases horizontal plane has 50 Individual horizontal angle (elevation angle is 0 ° and 180 ° each 25 horizontal angle, namely gauger just before, each 25 horizontal angles in dead astern), this The scope at literary setting height angle is -40 ° to 90 °, and step-length is 10 °.Meanwhile CIPIC databases also included measured the head breadth, The measurement result of long some physiology sizes of grade.
Further, as shown in figure 4, step S2 may include following steps:
S201:Build NhRow, MhThe source data matrix X of rowh
In embodiment one, based on the measurement data of HRTF databases, structure source data matrix Xh.Because every HRIR has 200 sampled datas, left and right ear come to 400, therefore Nh=400.Due to CIPIC databases totally 45 measured, often One measured is in 50 angular surveying HRTF of horizontal plane, therefore Mh=45 × 50=2250.
S202:To source data matrix XhAverage is gone, obtains the matrix B after averageh
Specifically, step S202 comprises the following steps again:
First, to source data matrix XhEach row element average, it is N to obtain a dimensionh× 1 column vector μh, table It is shown as:
Wherein, n represents sampling number, n=1,2 ..., Nh.Afterwards, to source data matrix XhAverage is gone, if dimension is 1 ×MhRow vector hh, row vector hhIn each element be 1, then the matrix B gone after averagehIt is expressed as:
Bh=Xhhhh
S203:Using going the matrix B after averageh, calculate covariance matrix Ch, it is expressed as:
Wherein,Apposition is represented, " H " represents conjugate transposition, obtained covariance matrix ChDimension be Nh×Nh
S204:To covariance matrix ChSingular value decomposition is carried out, builds base vector matrix Vh, and obtain basal orientation coefficient of discharge square Battle array Wh
In the present invention, to covariance matrix ChSingular value decomposition is carried out, with qhVector corresponding to individual maximum singular value is Nh× The base vector v of 1 dimensionhi, i=1,2 ..., qh, qhIndividual base vector forms base vector matrix Vh, it is expressed as:
Vh=[v1,v2,…,vqh]
Base vector coefficient matrix WhIt is expressed as:
Wh=Vh TBh
Base vector coefficient matrix WhIn dimension be qh×Mh, its each each base vector of element representation is to matrix BhTribute Offer, matrix BhCan be by qhThe linear combination of individual base vector is reconstructed, if qh=Nh, then can Perfect Reconstruction matrix Bh, it is actual Middle qhLess than Nh, can still obtain higher reconstruction accuracy.
S205:Calculate the HRIR matrixes of reconstructIt is expressed as:
Reconstructed error ehIt is expressed as:
X thereinhiIt is XhColumn vector.In the present invention, qhPreferably 25, then eh<5%.
S206:To each base vector of each horizontal angle, the basal orientation coefficient of discharge of whole gaugers in HRTF databases is calculated AverageAnd standard deviationMeet:
Wherein, θ represents horizontal angle, and value is 0 °, 5 ° ..., 45 °, 55 °, 65 °, 80 °, 100 °, 115 °, 125 °, 135 °, 140 ° ..., 225 °, 235 °, 245 °, 260 °, 280 °, 295 °, 305 °, 315 °, 320 ° ..., 355 °, ihValue 1,2 ..., qh,Represent j-th of measured in horizontal angle θ i-thhThe principal component coefficient of individual basic function.
S207:To each horizontal angle, before extraction during 5 standard deviation maximums corresponding basal orientation coefficient of discharge average, and combine Left otoacoustic emission source output signal ylAnd auris dextra sound source output signal y (t)r(t), the average of the basal orientation coefficient of discharge of extraction is adjusted, So that the sound bearing angle that winner's perception is subject to is optimal.
Because the amplitude that the average of preceding 5 basal orientation coefficient of discharges changes with horizontal angle is larger, standard deviation is also larger, and other bases For the average of vectorial coefficient substantially without conversion, standard deviation is smaller, thus the present invention only adjust before 5 standard deviation maximums when corresponding basal orientation The average of coefficient of discharge, the average of other basal orientation coefficient of discharges are not adjusted.
Specifically, with reference to left otoacoustic emission source output signal and auris dextra sound source output signal, to the basal orientation coefficient of discharge of extraction Average is adjusted, so that the optimal step in the sound bearing angle that is subject to of winner's perception can be specified as:Under each horizontal angle, press According to the average of the order of standard deviation from big to small, sequentially 5 corresponding basal orientation coefficient of discharges of adjustment, for each basal orientation coefficient of discharge Average, adjustable range are ± 3 σ, adjust the σ of step-length 0.2, and the average of the basal orientation coefficient of discharge to currently adjusting first increases Δ PCW, its The average of its basal orientation coefficient of discharge keeps constant, compares whether the filtered sound bearing angles of HRIR being respectively synthesized before and after regulation become Change, if unchanged, increase Δ PCW, if changing, reduce Δ PCW, the change of sound bearing angle can be experienced until finding Minimum delta PCW, complete the first round regulation.So it is repeatedly completed the three-wheel regulation to the average of 5 basal orientation coefficient of discharges.
S208:The matrix and corresponding basal orientation moment matrix formed according to the basal orientation coefficient of discharge after adjustment, after being adjusted HRIR, the personalized HRIR as obtained.Specific calculating process does not repeat as described in abovementioned steps S205.
S3:Based on the measurement data of HRTF databases, principal component analysis is carried out to the elevation angle under ears polar coordinate system, with Reconstruct and auricle related impulse response (Pinna-Related Impulse Response, PRIR), and it is defeated to combine left otoacoustic emission source Go out signal and auris dextra sound source output signal, adjust PRIR, obtain the PRIR of personalization.
Further, as shown in figure 5, step S3 may include following steps:
S300:By the HRIR of the left ear of 14 elevation angles initial delay removes on middle vertical plane in HRTF databases, and add 1.5ms Hanning windows, obtain PRIR.
S301:Build NvRow, MvThe source data matrix X of rowv
Wherein, because the HRTF of CIPIC databases sample frequency is 44.1KHZ, after adding 1.5ms Hanning windows, only take 1.5ms data, therefore Nv=44.1 × 1.5=66.Due to CIPIC databases totally 45 measured, each 14 height of measured Angle, therefore Mv=45 × 14=630.
S302:To source data matrix XvAverage is gone, obtains the matrix B after averagev
Specifically, step S302 comprises the following steps again:
First, to source data matrix XvEach row element average, it is N to obtain a dimensionv× 1 column vector μv, table It is shown as:
Wherein, n represents sampling number, n=1,2 ..., Nv.Afterwards, to source data matrix XvAverage is gone, if dimension is 1 ×MvRow vector hv, row vector hvIn each element be 1, then the matrix B gone after averagevIt is expressed as:
Bv=Xvvhv
S303:Using going the matrix B after averagev, calculate covariance matrix Cv, it is expressed as:
Wherein,Apposition is represented, " H " represents conjugate transposition, obtained covariance matrix CvDimension be Nv×Nv
S304:To covariance matrix CvSingular value decomposition is carried out, builds base vector matrix Vv, and obtain basal orientation coefficient of discharge square Battle array Wv
In the present invention, to covariance matrix CvSingular value decomposition is carried out, with qvVector corresponding to individual maximum singular value is Nv× The base vector v of 1 dimensionvi, i=1,2 ..., qv, qvIndividual base vector forms base vector matrix Vv, it is expressed as:
Base vector coefficient matrix WvIt is expressed as:
Wv=Vv TBv
Base vector coefficient matrix WvIn dimension be qv×Mv, its each each base vector of element representation is to matrix BvTribute Offer, matrix BvCan be by qvThe linear combination of individual base vector is reconstructed, if qv=Nv, then can Perfect Reconstruction matrix Bv, it is actual Middle qvLess than Nv, can still obtain higher reconstruction accuracy.
S305:Calculate the PRIR matrixes of reconstructIt is expressed as:
Reconstructed error evIt is expressed as:
X thereinviIt is XvColumn vector.In the present invention, qvPreferably 12, then ev<5%.
S306:To each base vector of each elevation angle, the basal orientation coefficient of discharge of whole gaugers in HRTF databases is calculated AverageAnd standard deviationMeet:
Wherein,Elevation angle is represented, value is -40 °, -30 ° ..., 90 °, ivValue 1,2 ..., qv,Represent jth Individual measured is in elevation angleI-thvThe principal component coefficient of individual basic function.
S307:To each elevation angle, before extraction during 5 standard deviation maximums corresponding basal orientation coefficient of discharge average, and combine Left otoacoustic emission source output signal ylAnd auris dextra sound source output signal y (t)r(t), the average of the basal orientation coefficient of discharge of extraction is adjusted, So that the sound bearing angle that winner's perception is subject to is optimal.
Similarly, with reference to left otoacoustic emission source output signal and auris dextra sound source output signal, to the equal of the basal orientation coefficient of discharge of extraction Value is adjusted, so that the optimal step in the sound bearing angle that is subject to of winner's perception can be specified as:Under each elevation angle, according to The order of standard deviation from big to small, the average of 5 corresponding basal orientation coefficient of discharges is sequentially adjusted, for the equal of each basal orientation coefficient of discharge Value, adjustable range be ± 3 σ, adjusts the σ of step-length 0.2, first the average increase Δ PCW to the basal orientation coefficient of discharge that currently adjusts, other The average of basal orientation coefficient of discharge keeps constant, compares whether the filtered sound bearing angles of PRIR being respectively synthesized before and after regulation become Change, if unchanged, increase Δ PCW, if changing, reduce Δ PCW, the change of sound bearing angle can be experienced until finding Minimum delta PCW, complete the first round regulation.So it is repeatedly completed the three-wheel regulation to the average of 5 basal orientation coefficient of discharges.
S308:The matrix and corresponding basal orientation moment matrix formed according to the basal orientation coefficient of discharge after adjustment, after being adjusted PRIR, the personalized PRIR as obtained.Specific calculating process does not repeat as described in abovementioned steps S305.
Embodiment two
The embodiment of the present invention two provides the personalized method of a kind of related transfer function.It is different from embodiment one, be The positioning of improvement horizontal angle, further optimizes personalised effects, as shown in fig. 6, before step S201, may also include following step Suddenly:
S200:Left ear HRIR and auris dextra HRIR of each gauger in HRTF databases under each horizontal angle are removed just Beginning time delay, afterwards by every HRIR ends zero padding to 200 sampled points.
Now, it is further comprising the steps of after step S208:
S209:The initial delay of every HRIR in HRTF databases is adjusted, when gauger is not felt by horizontal angle change, Time delay value now is added on the corresponding HRIR after adjustment.
Wherein, the regulation initial value of initial delayFor the time delay average value of sound source to whole gaugers or so ear, table It is shown as:
Wherein,For elevation angle,It is j-th of gauger in elevation angleTime delay.The scope of regulation is ± 3 times of standards Difference, standard deviationMeet:
Other method and steps description of embodiment two is identical with embodiment one, does not repeat.Below with a subjective auditory experiment Illustrate the locating effect of the HRTF after the personalization of embodiment two:
Assuming that 4 gaugers (including 2 males, 2 women) use the average dummy head (subject_ of CIPIC databases respectively 165) HRTF and the HRTF obtained through the personalization of embodiment two carry out azimuth positioning experiment, enter line-spacing with the HRTF of personalization It is as follows from positioning experiment, Setup Experiments:
Distance positioning is tested, θ=90 °,Distance is 20cm, 40cm, 75cm, 130cm;
Horizontal angle positioning experiment, distance is 50cm,θ=0 °, 30 ° ..., 330 °;
Elevation angle positioning experiment, distance is 50cm, θ=0 °,0 ° ..., 90 °.
Every group of experiment is repeated 5 times, and upsets order at random, and 4 gaugers are respectively completed 20 groups of Distance positioning experiments, 60 groups of water Straight angle positioning experiment, 25 groups of elevation angle positioning experiments.Experiment is carried out on a notebook computer, is made a sound with a bit of voice Source, earphone used are Sen Haisaier HD201.Before experiment, gauger distinguishes two HRTF databases of audition in orientation given herein above Sound, adjust the distance, horizontal angle, elevation angle has perception.
Experimental result is as shown in following table four:
Table four
From table four, the Average Accuracy of Distance positioning experiment is 80%.Using subject_165 HRTF, four The average positional accuracy of the horizontal angle of gauger is 35%, is 52% comprising the front and rear positional accuracy obscured.By personalization Regulation, positional accuracy improve 12.5%, and front and rear aliasing error reduces.Adjusted by personalization, elevation angle averagely positions standard Exactness improves 14%.
Embodiment three
The embodiment of the present invention three provides the personalization system of a kind of related transfer function.As shown in fig. 7, comprises:Increase Beneficial filtration module 1, for carrying out handling with apart from related Gain filter to monophonic sound source input signal, obtain with apart from phase Close left otoacoustic emission source output signal and to distance related auris dextra sound source output signal;Horizontal angle personality module 2, for base In the measurement data of HRTF databases, principal component analysis is carried out to the horizontal angle under ears polar coordinate system, to reconstruct HRIR, and tied Left otoacoustic emission source output signal and auris dextra sound source output signal that Gain filter module 1 obtains are closed, HRIR is adjusted, obtains personalization HRIR;Elevation angle personality module 3, for the measurement data based on HRTF databases, to the elevation angle under ears polar coordinate system Principal component analysis is carried out, to reconstruct PRIR, and combines left otoacoustic emission source output signal and auris dextra sound source that Gain filter module 1 obtains Output signal, PRIR is adjusted, obtain the PRIR of personalization.
Further, as shown in figure 8, Gain filter module 1 may include:First calculating sub module 11, for calculating left ear DC current gain estimateWith the DC current gain estimate of auris dextraIts calculation formula does not repeat as described in embodiment one; Second calculating sub module 12, for calculating the first order IIR filtering device coefficient h of left earlshWith the first order IIR filtering device coefficient of auris dextra hrsh, its calculation formula do not repeat as described in embodiment one;3rd calculating sub module 13, for calculating left otoacoustic emission source output signal ylAnd auris dextra sound source output signal y (t)r(t), its calculation formula does not repeat as described in embodiment one.
Further, as shown in figure 9, horizontal angle personality module 2 may include:First matrix builds submodule 201, is used for Build NhRow, MhThe source data matrix X of rowh, to source data matrix XhDescription as described in embodiment one, do not repeat;First goes It is worth submodule 202, for source data matrix XhAverage is gone, obtains the matrix B after averageh, the implementation procedure such as embodiment one In step S202 described in, do not repeat;4th calculating sub module 203, for utilizing the matrix B after going averageh, calculate covariance Matrix Ch, calculation formula do not repeat as described in embodiment one;Second matrix builds submodule 204, for covariance matrix Ch Singular value decomposition is carried out, builds base vector matrix Vh, and obtain base vector coefficient matrix Wh, calculation formula as described in embodiment one, Do not repeat;5th calculating sub module 205, for calculating the HRIR matrixes of reconstructCalculation formula is as described in embodiment one, no Repeat;6th calculating sub module 206, for each base vector to each horizontal angle, calculate and all measured in HRTF databases The average of the basal orientation coefficient of discharge of personAnd standard deviationCalculation formula does not repeat as described in embodiment one;First Adjust submodule 207, for each horizontal angle, before extraction during 5 standard deviation maximums corresponding basal orientation coefficient of discharge average, and With reference to left otoacoustic emission source output signal ylAnd auris dextra sound source output signal y (t)r(t), the average of the basal orientation coefficient of discharge of extraction is carried out Regulation, so that the sound bearing angle that winner's perception is subject to is optimal, the specific step S207 institutes adjusted in process such as embodiment one State, do not repeat;First adjustment submodule 208, for the matrix formed according to the basal orientation coefficient of discharge after adjustment and corresponding basal orientation Moment matrix, the HRIR after being adjusted, the personalized HRIR as obtained.Specific calculating process such as abovementioned steps S205 institutes State, do not repeat.
Further, as shown in Figure 10, elevation angle personality module 3 may include:PRIR acquisition submodules 300, for inciting somebody to action The HRIR of the left ear of 14 elevation angles initial delay removes on middle vertical plane in HRTF databases, and adds 1.5ms Hanning windows, obtains PRIR;3rd matrix builds submodule 301, for building NvRow, MvThe source data matrix X of rowv, to source data matrix XvRetouch State as described in embodiment one, do not repeat;Second removes average submodule 302, for source data matrix XvAverage is gone, is obtained Matrix B after valuev, its implementation procedure do not repeat as described in embodiment one;7th calculating sub module 303, average is gone for utilizing Matrix B afterwardsv, calculate covariance matrix Cv, calculation formula do not repeat as described in embodiment one;4th matrix builds submodule 304, for covariance matrix CvSingular value decomposition is carried out, builds base vector matrix Vv, and obtain base vector coefficient matrix Wv, Calculation formula does not repeat as described in embodiment one;8th calculating sub module 305, for calculating the PRIR matrixes of reconstructMeter Formula is calculated as described in embodiment one, is not repeated;9th calculating sub module 306, for each base vector to each elevation angle, meter Calculate the average of the basal orientation coefficient of discharge of whole gaugers in HRTF databasesAnd standard deviationCalculation formula is as implemented Described in example one, do not repeat;Second regulation submodule 307, for each elevation angle, being corresponded to before extraction during 5 standard deviation maximums Basal orientation coefficient of discharge average, and combine left otoacoustic emission source output signal ylAnd auris dextra sound source output signal y (t)r(t), to extraction The average of basal orientation coefficient of discharge is adjusted, so that the sound bearing angle that winner's perception is subject to is optimal, it is specific to adjust process strictly according to the facts Apply described in the step S307 in example one, do not repeat;Second adjustment submodule 308, for according to the basal orientation coefficient of discharge structure after adjustment Into matrix and corresponding basal orientation moment matrix, the PRIR after being adjusted, the personalized PRIR as obtained.It is specific to calculate Process does not repeat as described in abovementioned steps S305.
Example IV
The embodiment of the present invention four provides the personalization system of a kind of related transfer function.It is different from embodiment three, be The positioning of improvement horizontal angle, further optimizes personalised effects, as shown in figure 11, horizontal angle personality module 2 also includes:When going Prolong submodule 200, for being gone to left ear HRIR and auris dextra HRIR of each gauger under each horizontal angle in HRTF databases Except initial delay, afterwards by every HRIR ends zero padding to 200 sampled points, submodule 201 is built by the first matrix afterwards Continued executing with according to the implementing result of time delay submodule 200 is gone;Initial delay adjusts and additional submodule 209, for being adjusted first After whole submodule 208 is finished, the initial delay of every HRIR in HRTF databases is adjusted, when gauger is not felt by level When angle changes, time delay value now is added on the corresponding HRIR after adjustment, the regulation process such as embodiment to initial delay Described in two, do not repeat.
Other system architectures of example IV are identical with embodiment three, do not repeat.
In summary, the personalized method of head related transfer function provided by the invention and system are initially set up apart from mould Type, obtain to apart from related sound-source signal, being modeled respectively to horizontal angle and elevation angle using PCA afterwards, in HRTF individual character During changing regulation, personalized regulation is carried out to model parameter using to the related sound-source signal of distance, to experience sound source Correct orientation, the HRTF of personalization is then obtained, the combination of structuring HRTF models and PCA coefficient adjustments is realized, due to building Vertical distance model take into account the distance between sound source and ears factor so that and gauger can experience the change of distance, Thus the HRTF of acquisition personalised effects are good, accuracy is high.Further, the personalized regulation model of distance model, horizontal angle and height Degree angle personalization adjustment module uses cascade system, simplifies HRTF individuation process, and execution efficiency is high.Further, for every One horizontal angle or elevation angle, 5 principal component coefficients only need to be adjusted, the coefficient of regulation is few.Finally, in the personalized tune of horizontal angle In section, before regulation, the initial delay of the HRIR in HRTF databases is removed, and after HRIR regulations, adjusts initial delay To change sound source to the difference of the time delay of left and right ear, on the HRIR obtained by the initial delay after regulation is attached to afterwards, so as to Horizontal angle positioning is improved, further optimizes personalised effects.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all essences in the present invention All any modification, equivalent and improvement made within refreshing and principle etc., should be included in the scope of the protection.

Claims (8)

1. the personalized method of a kind of related transfer function, it is characterised in that the described method comprises the following steps:
S1:Monophonic sound source input signal is carried out to handle with apart from related Gain filter, obtain to apart from related left ear Sound source output signal and to distance related auris dextra sound source output signal;
S2:Based on the measurement data of HRTF databases, principal component analysis is carried out to the horizontal angle under ears polar coordinate system, with reconstruct HRIR, and with reference to the left otoacoustic emission source output signal and the auris dextra sound source output signal, adjust HRIR, obtain personalization HRIR;
S3:Based on the measurement data of HRTF databases, principal component analysis is carried out to the elevation angle under ears polar coordinate system, with reconstruct PRIR, and with reference to the left otoacoustic emission source output signal and the auris dextra sound source output signal, adjust PRIR, obtain personalization PRIR;
The step S2 comprises the following steps:
S201:Build NhRow, MhThe source data matrix X of rowh
S202:To the source data matrix XhAverage is gone, obtains the matrix B after averageh
S203:Using going the matrix B after averageh, calculate covariance matrix Ch, it is expressed as:
S204:To the covariance matrix ChSingular value decomposition is carried out, builds base vector matrix Vh, and obtain basal orientation coefficient of discharge square Battle array Wh, it is expressed as:
Wh=Vh TBh
S205:Calculate the HRIR matrixes of reconstructIt is expressed as:
Wherein, μhFor to the source data matrix XhEach row element average obtained from dimension be Nh× 1 row to Amount, hhIt is 1 × M for dimensionhRow vector, row vector hhIn each element be 1;
S206:To each base vector of each horizontal angle, the basal orientation coefficient of discharge of whole gaugers is equal in calculating HRTF databases ValueAnd standard deviationMeet:
Wherein, θ represents horizontal angle, and value is 0 °, 5 ° ..., 45 °, 55 °, 65 °, 80 °, 100 °, 115 °, 125 °, 135 °, 140 ° ..., 225 °, 235 °, 245 °, 260 °, 280 °, 295 °, 305 °, 315 °, 320 ° ..., 355 °, ihValue 1,2 ..., qh,Represent j-th of measured in horizontal angle θ i-thhThe principal component coefficient of individual basic function;
S207:To each horizontal angle, before extraction during 5 standard deviation maximums corresponding basal orientation coefficient of discharge average, and combine left ear Sound source output signal ylAnd auris dextra sound source output signal y (t)r(t), the average of the basal orientation coefficient of discharge of extraction is adjusted, so that The sound bearing angle that winner's perception is subject to is optimal;
S208:The matrix and corresponding basal orientation moment matrix formed according to the basal orientation coefficient of discharge after adjustment, the HRIR after being adjusted, The personalized HRIR as obtained.
2. the personalized method of as claimed in claim 1 related transfer function, it is characterised in that the step S1 include with Lower step:
S11:Calculate the DC current gain estimate of left earWith the DC current gain estimate of auris dextra, meet:
Wherein, θlincFor the incidence angle of left ear, θrincFor the incidence angle of auris dextra, ρ is sound source and the distance r and head radius at head center Ratio, p11、p21、q11、q21Respectively polynomial coefficient;
S12:Calculate the first order IIR filtering device coefficient h of left earlshWith the first order IIR filtering device coefficient h of auris dextrarsh
S13:Calculate left otoacoustic emission source output signal ylAnd auris dextra sound source output signal y (t)r(t) so that:
Wherein, x (t) is the monophonic sound source signal of input, and " " represents to be multiplied, and " * " represents convolution.
3. the personalized method of as claimed in claim 2 related transfer function, it is characterised in that the single order of the left ear Iir filter coefficient hlshZ domains expression formula be:
Wherein,
Hl0=Vl0-1
Wherein, fsFor sample frequency,For the high-frequency gain of left ear,For the cut frequency of left ear,WithIt can represent respectively For:
Wherein, p12、p22、q12、q22Respectively polynomial coefficient, p13、p23、p33、q13、q23Respectively polynomial coefficient;
The first order IIR filtering device coefficient h of the auris dextrarshZ domains expression formula be:
Wherein,
Hr0=Vr0-1
Wherein, fsFor sample frequency,For the high-frequency gain of auris dextra,For the cut frequency of auris dextra,WithTable can be distinguished It is shown as:
4. the personalized method of as claimed in claim 1 related transfer function, it is characterised in that the step S201 it Before, methods described is further comprising the steps of:
S200:When removing initial to left ear HRIR and auris dextra HRIR of each gauger in HRTF databases under each horizontal angle Prolong, afterwards by every HRIR ends zero padding to 200 sampled points;
After the step S208, methods described is further comprising the steps of:
S209:The initial delay of every HRIR in HRTF databases is adjusted, when gauger is not felt by horizontal angle change, by this When time delay value be added to adjustment after corresponding HRIR on.
5. the personalized method of as claimed in claim 1 related transfer function, it is characterised in that the step S3 include with Lower step:
S300:By the HRIR of the left ear of 14 elevation angles initial delay removes on middle vertical plane in HRTF databases, and add 1.5ms Hanning window, obtain PRIR;
S301:Build NvRow, MvThe source data matrix X of rowv
S302:To the source data matrix XvAverage is gone, obtains the matrix B after averagev
S303:Using going the matrix B after averagev, calculate covariance matrix Cv, it is expressed as:
S304:To covariance matrix CvSingular value decomposition is carried out, builds base vector matrix Vv, and obtain base vector coefficient matrix Wv, It is expressed as:
Wv=Vv TBv
S305:Calculate the PRIR matrixes of reconstructIt is expressed as:
Wherein, μvFor to the source data matrix XvEach row element average obtained from dimension be Nv× 1 row to Amount, hvIt is 1 × M for dimensionvRow vector, row vector hvIn each element be 1;
S306:To each base vector of each elevation angle, the basal orientation coefficient of discharge of whole gaugers is equal in calculating HRTF databases ValueAnd standard deviationMeet:
Wherein,Elevation angle is represented, value is -40 °, -30 ° ..., 90 °, ivValue 1,2 ..., qv,Represent j-th of quilt Survey person is in elevation angleI-thvThe principal component coefficient of individual basic function;
S307:To each elevation angle, before extraction during 5 standard deviation maximums corresponding basal orientation coefficient of discharge average, and combine left ear Sound source output signal ylAnd auris dextra sound source output signal y (t)r(t), the average of the basal orientation coefficient of discharge of extraction is adjusted, so that The sound bearing angle that winner's perception is subject to is optimal;
S308:The matrix and corresponding basal orientation moment matrix formed according to the basal orientation coefficient of discharge after adjustment, the PRIR after being adjusted, The personalized PRIR as obtained.
6. the personalization system of a kind of related transfer function, it is characterised in that the system includes:
Gain filter module, for carrying out handling with apart from related Gain filter to monophonic sound source input signal, obtain and The related left otoacoustic emission source output signal of distance and to the related auris dextra sound source output signal of distance;
Horizontal angle personality module, for the measurement data based on HRTF databases, the horizontal angle under ears polar coordinate system is entered Row principal component analysis, to reconstruct HRIR, and the left otoacoustic emission source output signal obtained with reference to the Gain filter module and institute Auris dextra sound source output signal is stated, adjusts HRIR, obtains the HRIR of personalization;
Elevation angle personality module, for the measurement data based on HRTF databases, the elevation angle under ears polar coordinate system is entered Row principal component analysis, to reconstruct PRIR, and the left otoacoustic emission source output signal obtained with reference to the Gain filter module and institute Auris dextra sound source output signal is stated, adjusts PRIR, obtains the PRIR of personalization;
The horizontal angle personality module includes:
First matrix builds submodule, for building NhRow, MhThe source data matrix X of rowh
First removes average submodule, for the source data matrix XhAverage is gone, obtains the matrix B after averageh
4th calculating sub module, for utilizing the matrix B after going averageh, calculate covariance matrix Ch, it is expressed as:
Second matrix builds submodule, for the covariance matrix ChSingular value decomposition is carried out, builds base vector matrix Vh, And obtain base vector coefficient matrix Wh, it is expressed as:
Wh=Vh TBh
5th calculating sub module, for calculating the HRIR matrixes of reconstructIt is expressed as:
Wherein, μhFor to the source data matrix XhEach row element average obtained from dimension be Nh× 1 row to Amount, hhIt is 1 × M for dimensionhRow vector, row vector hhIn each element be 1;
6th calculating sub module, for each base vector to each horizontal angle, calculate whole gaugers in HRTF databases The average of basal orientation coefficient of dischargeAnd standard deviationMeet:
Wherein, θ represents horizontal angle, and value is 0 °, 5 ° ..., 45 °, 55 °, 65 °, 80 °, 100 °, 115 °, 125 °, 135 °, 140 ° ..., 225 °, 235 °, 245 °, 260 °, 280 °, 295 °, 305 °, 315 °, 320 ° ..., 355 °, ihValue 1,2 ..., qh,Represent j-th of measured in horizontal angle θ i-thhThe principal component coefficient of individual basic function;
First regulation submodule, for each horizontal angle, before extraction during 5 standard deviation maximums corresponding basal orientation coefficient of discharge it is equal Value, and combine left otoacoustic emission source output signal ylAnd auris dextra sound source output signal y (t)r(t), to the average of the basal orientation coefficient of discharge of extraction It is adjusted, so that the sound bearing angle that winner's perception is subject to is optimal;
First adjustment submodule, for the matrix formed according to the basal orientation coefficient of discharge after adjustment and corresponding basal orientation moment matrix, is obtained HRIR after to adjustment, the personalized HRIR as obtained.
7. the personalization system of as claimed in claim 6 related transfer function, it is characterised in that the Gain filter module Including:
First calculating sub module, for calculating the DC current gain estimate of left earWith the DC current gain estimate of auris dextraIt is full Foot:
Wherein, θlincFor the incidence angle of left ear, θrincFor the incidence angle of auris dextra, ρ is sound source and the distance r and head radius at head center Ratio, p11、p21、q11、q21Respectively polynomial coefficient;
Second calculating sub module, for calculating the first order IIR filtering device coefficient h of left earlshWith the first order IIR filtering device system of auris dextra Number hrsh
3rd calculating sub module, for calculating left otoacoustic emission source output signal ylAnd auris dextra sound source output signal y (t)r(t) so that:
Wherein, x (t) is the monophonic sound source signal of input, and " " represents to be multiplied, and " * " represents convolution.
8. the personalization system of as claimed in claim 6 related transfer function, it is characterised in that the elevation angle is personalized Module includes:
PRIR acquisition submodules, for by HRTF databases on middle vertical plane the HRIR of the left ear of 14 elevation angles initial delay Remove, and add 1.5ms Hanning windows, obtain PRIR;
3rd matrix builds submodule, for building NvRow, MvThe source data matrix X of rowv
Second removes average submodule, for the source data matrix XvAverage is gone, obtains the matrix B after averagev
7th calculating sub module, for utilizing the matrix B after going averagev, calculate covariance matrix Cv, it is expressed as:
4th matrix builds submodule, for covariance matrix CvSingular value decomposition is carried out, builds base vector matrix Vv, and To base vector coefficient matrix Wv, it is expressed as:
Wv=Vv TBv
8th calculating sub module, for calculating the PRIR matrixes of reconstructIt is expressed as:
Wherein, μvFor to the source data matrix XvEach row element average obtained from dimension be Nv× 1 row to Amount, hvIt is 1 × M for dimensionvRow vector, row vector hvIn each element be 1;
9th calculating sub module, for each base vector to each elevation angle, calculate whole gaugers in HRTF databases The average of basal orientation coefficient of dischargeAnd standard deviationMeet:
Wherein,Elevation angle is represented, value is -40 °, -30 ° ..., 90 °, ivValue 1,2 ..., qv,Represent j-th of quilt Survey person is in elevation angleI-thvThe principal component coefficient of individual basic function;
Second regulation submodule, for each elevation angle, before extraction during 5 standard deviation maximums corresponding basal orientation coefficient of discharge it is equal Value, and combine left otoacoustic emission source output signal ylAnd auris dextra sound source output signal y (t)r(t), to the average of the basal orientation coefficient of discharge of extraction It is adjusted, so that the sound bearing angle that winner's perception is subject to is optimal;
Second adjustment submodule, for the matrix formed according to the basal orientation coefficient of discharge after adjustment and corresponding basal orientation moment matrix, is obtained PRIR after to adjustment, the personalized PRIR as obtained.
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Families Citing this family (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106874592B (en) * 2017-02-13 2020-05-19 深圳大学 Virtual auditory reproduction method and system
EP3625976B1 (en) * 2017-05-16 2023-08-09 GN Hearing A/S A method for determining distance between ears of a wearer of a sound generating object and an ear-worn, sound generating object
CN107820158B (en) * 2017-07-07 2020-09-29 大连理工大学 Three-dimensional audio generation device based on head-related impulse response
CN108038291B (en) * 2017-12-05 2021-09-03 武汉大学 Personalized head-related transfer function generation system and method based on human body parameter adaptation algorithm
CN109166592B (en) * 2018-08-08 2023-04-18 西北工业大学 HRTF (head related transfer function) frequency division band linear regression method based on physiological parameters
CN109637550B (en) * 2018-12-27 2020-11-24 中国科学院声学研究所 Method and system for controlling elevation angle of sound source
CN114531640A (en) 2018-12-29 2022-05-24 华为技术有限公司 Audio signal processing method and device

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
Enhanced Vertical Perception through Head-Related Impulse Response Customization Based on Pinna Response Tunning in the Median Plane;Ki Hoon SHIN等;《Ieice Transactions on Fundamentals of Electronics Communications & Computer Sciences》;20101231;第345-356页 *
HEARING DISTANCE: A LOW-COST MODEL FOR NEAR-FIELD BINAURAL EFFECTS;Simone Spagnol等;《Signal Processing Conference (EUSIPCO), 2012 Proceedings of the 20th European》;20120831;第2030-2034页 *
Individualization of head related transfer functions using principal;KJ Fink等;《Applied Acoustics》;20151231;第162-173页 *

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