Method, device and equipment for evaluating and acquiring sense of space in vehicle and medium

Abstract

The invention relates to the technical field of vehicles, and discloses an in-vehicle space sense evaluation obtaining method and device, equipment and a medium, so as to improve the objectivity of a subjective evaluation result, and the method comprises the steps: obtaining a target objective parameter representing the in-vehicle space sense; obtaining a subjective evaluation result, wherein the subjective evaluation result is an evaluation result determined according to evaluation results representing in-vehicle space sense corresponding to different subdivision dimensions under a preset subjective evaluation rule; and fitting by using the target objective parameters and the subjective evaluation result to obtain an in-vehicle space sense evaluation model for in-vehicle space sense evaluation.

Description

Technical Field

[0001] The present application relates to the field of automobile technology, and in particular to a method, device, equipment and medium for evaluating and acquiring a sense of space within a vehicle. Background Art

[0002] With the rapid development of the automobile industry, customers' requirements for automobile comfort have also increased. Sound quality has become an important factor in product competitiveness, and the research and application of sound quality has become a hot topic in the research of automotive acoustic systems. In addition to sound quality, the sense of space created by in-car audio is also an important indicator for evaluating in-car audio. There is a significant difference between the perception of space and the perception of sound quality.

[0003] In the traditional solution, the in-car recorded signal and the playback source signal are obtained, and the objective parameters of the sense of space are calculated based on the in-car recorded signal and the playback source signal. The objective parameters of the sense of space include coefficients such as binaural sound level difference, and then the objective parameters of the sense of space are weighted according to preset weight coefficients to generate and output evaluation results.

[0004] However, in this scheme, the spatial sense parameters based solely on intuitive impression experience are used as evaluation criteria. For many evaluators, this still cannot more effectively reflect the subjective real spatial sense of the vehicle at the user level, resulting in subjective evaluation results that are not objective enough. Summary of the invention

[0005] The present application provides a method, device, equipment and medium for evaluating and obtaining the sense of space in a vehicle, so as to solve the technical problem that the subjective evaluation results in traditional solutions are not objective enough.

[0006] In a first aspect, a method for evaluating and obtaining a sense of space in a vehicle is provided, comprising:

[0007] Obtaining target objective parameters that characterize the sense of space inside the vehicle;

[0008] Obtaining a subjective evaluation result, where the subjective evaluation result is an evaluation result determined according to evaluation results representing the sense of space inside the vehicle corresponding to different subdivision dimensions under a preset subjective evaluation rule;

[0009] The target objective parameters and the subjective evaluation results are used to fit an in-vehicle space perception evaluation model for in-vehicle space perception evaluation.

[0010] Optionally, the subdivision dimensions of the preset subjective evaluation rule include a first evaluation dimension characterizing spatial geometry and a second evaluation dimension characterizing telepresence, the first evaluation dimension includes at least one evaluation result of spatial geometry, and the second evaluation dimension includes at least one evaluation result of telepresence.

[0011] Optionally, the first evaluation dimension includes at least one or more evaluation scores of sound field width, sound field height, sound field depth, sound image positioning and sound continuity; the second evaluation dimension includes at least one or more evaluation scores of envelopment and resonance appeal.

[0012] Optionally, the subjective evaluation result is determined by:

[0013] Obtaining a spatial geometric sense target evaluation result through at least one spatial geometric sense evaluation result;

[0014] Obtaining a target evaluation result of the sense of presence through at least one evaluation score of the sense of presence;

[0015] The spatial geometry target evaluation result and the telepresence target evaluation result are fitted according to preset weight coefficients to obtain the subjective evaluation result.

[0016] Optionally, the target objective parameters include objective parameters characterizing spatial geometric sense and objective parameters characterizing spatial telepresence realism.

[0017] Optionally, the target objective parameters include binaural correlation coefficient corresponding to the test sound source, binaural time difference, average spectral attenuation, mean left and right ear entropy, average amplitude distortion, reverberation time, lateral reflected sound, spectral center of gravity, sound distribution area and inter-channel correlation of different test sound sources.

[0018] Optionally, the using the target objective parameter and the subjective evaluation result to fit an in-vehicle space sense evaluation model for in-vehicle space sense evaluation includes:

[0019] Constructing an initial in-vehicle space perception evaluation model through the parameter types of the target objective parameters;

[0020] Determining the weight coefficient of each of the target objective parameters of the initial in-vehicle space perception evaluation model by using the corresponding relationship between the subjective evaluation result and the target objective parameter;

[0021] According to the parameter type and the corresponding weight coefficient of the target objective parameter, the final vehicle interior space perception evaluation model is obtained.

[0022] In a second aspect, a device for evaluating and obtaining a sense of space in a vehicle is provided, comprising:

[0023] The first acquisition module is used to acquire the target objective parameters representing the sense of space in the vehicle;

[0024] A second acquisition module is used to acquire a subjective evaluation result, where the subjective evaluation result is an evaluation result determined according to the evaluation results representing the sense of space in the vehicle corresponding to different subdivision dimensions under a preset subjective evaluation rule;

[0025] The fitting module is used to use the target objective parameters and the subjective evaluation results to fit an in-vehicle space sense evaluation model for in-vehicle space sense evaluation.

[0026] In a third aspect, a computer device is provided, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the steps of any of the aforementioned methods for evaluating and acquiring the sense of space within a vehicle are implemented.

[0027] In a fourth aspect, a computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method for evaluating and obtaining the sense of space in a vehicle are implemented as described in any one of the above items.

[0028] One of the solutions provided above is an evaluation result determined according to the evaluation results characterizing the in-vehicle spatial sense corresponding to different subdivision dimensions under preset subjective evaluation rules. That is to say, a multi-level semantic subdivision dimension of subjective evaluation is set for evaluation, and the subjective evaluation of the in-vehicle audio spatial sense is semantically subdivided. This multi-dimensional subdivision method can make the subjective evaluation more appropriate. Since the present application standardizes the subjective evaluation dimension based on the experiment, and then fits the target objective parameters, a in-vehicle spatial sense evaluation model is obtained that can predict the auditory sense score of the in-vehicle spatial sound through the target objective parameters. That is, it is possible to more accurately obtain a more objective subjective evaluation result of the in-vehicle spatial sense based on objective data. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the description of the embodiments of the present application will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0030] Figure 1 This is a schematic diagram of an application environment of a method for evaluating and obtaining a sense of space in a vehicle in an embodiment of the present application;

[0031] Figure 2 It is a flow chart of a method for evaluating and obtaining a sense of space in a vehicle in one embodiment of the present application;

[0032] Figure 3 is a schematic diagram of a process for obtaining binaural correlation coefficients in an embodiment of the present application;

[0033] Figure 4 This is a schematic diagram of a process for obtaining interaural time difference in an embodiment of the present application;

[0034] Figure 5 This is a schematic diagram of a process for obtaining average sound spectrum attenuation in one embodiment of the present application;

[0035] Figure 6 This is a schematic diagram of a process for obtaining the mean value of left and right ear entropies in one embodiment of the present application;

[0036] Figure 7 is a schematic diagram of a process for obtaining average amplitude distortion in one embodiment of the present application;

[0037] Figure 8 This is a schematic diagram of a process for obtaining the correlation between channels in an embodiment of the present application;

[0038] Fig. 9 is another flow chart of a method for evaluating and obtaining a sense of space in a vehicle in one embodiment of the present application;

[0039] Fig.10 It is a structural schematic diagram of a device for evaluating and obtaining a sense of space in a vehicle in one embodiment of the present application;

[0040] Fig.11 It is a structural schematic diagram of a computer device in one embodiment of the present application. DETAILED DESCRIPTION

[0041] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0042] The embodiment of the present application mainly provides a method for evaluating and obtaining the sense of space in a car, which can be applied to various cars. It should be understood that the sound field of a car is different from that of a general room. The sound field environment in a car belongs to a small space with high reflective surfaces, complex geometric shapes, suboptimal speakers, asymmetric acoustic paths, etc. Therefore, the objective indicators of hall acoustics cannot be directly used. In the present application, a new method for evaluating and obtaining the sense of space in a car is provided. The method can be based on Figure 1 The evaluation system for the sense of space in a vehicle shown in FIG. Figure 1As shown, the system includes: a test sound source, a collector (including a human head dual microphone + data collection system), an analyzer, and a judge; a special evaluation sound source is played by the car audio system as a test sound source, and a collector is used for data collection. The collected data is processed by the analyzer to obtain objective parameters that characterize the sense of space in the car, and then the subjective evaluation results are obtained according to the preset subjective evaluation rules. The above subjective and objective results and objective parameters are made into a car sense of space evaluation model through fitting calculation, and the car sense of space evaluation model is input into the judge for subjective evaluation output, wherein the key point lies in the analyzer and the judge, and the analyzer and the judge are implemented by computer equipment, and a built-in data processing program is built in to realize this application. Through this application, the judgment result of the reference subjective score of the sense of space in the car can be obtained more comprehensively through objective data, which can be applied to the rapid judgment and reference of the spatial sound tuning process.

[0043] Below, a method for evaluating and obtaining the sense of space in a vehicle provided by the present application is described in detail through a specific embodiment.

[0044] like Figure 2 As shown in FIG. 1 , a method for evaluating and obtaining the sense of space in a vehicle is provided, which can be applied in Figure 1 The analysis is explained from the perspective of the analyzer in the example, which includes the following steps:

[0045] S10: Obtaining target objective parameters representing the sense of space inside the vehicle;

[0046] S20: Obtaining a subjective evaluation result, where the subjective evaluation result is an evaluation result determined according to the evaluation results representing the sense of space in the vehicle corresponding to different subdivision dimensions under a preset subjective evaluation rule;

[0047] S30: Using the target objective parameters and the subjective evaluation results, a vehicle interior space sense evaluation model is fitted to be used for vehicle interior space sense evaluation.

[0048] In this embodiment, the analyzer needs to first obtain the target objective parameters that characterize the sense of space in the vehicle. The test sound source is used to emit sound, the sound signal is collected by the collector, and the sound signal is converted into the target objective parameters that characterize the sense of space in the vehicle. Figure 1 As shown, exemplarily, the collector can be composed of a mature artificial head binaural microphone and a corresponding data acquisition system, which can simulate the state of passengers sitting in different positions in the car, and collect sound signals emitted by the test sound source received at the binaural position of the passenger. After receiving these sound signals, the sound signals are converted into parameters that characterize the sense of space in the car, which are recorded as target objective parameters, that is, objective data is obtained.

[0049] In addition, another set of sounds will be emitted by the test sound source. The evaluator will evaluate the sound signals emitted by the test sound source according to different subdivision dimensions under the preset subjective evaluation rules, and obtain the corresponding evaluation results representing the sense of space in the car under different semantic subdivision dimensions. The subjective evaluation results are obtained by combining these evaluation results. Exemplarily, in the test process of obtaining the target objective parameters and subjective evaluation results, the position of the simulated passenger sitting state is the same as or close to the position of the evaluator sitting during the subjective evaluation. For example, exemplarily, the vertical coordinates of the measuring points of the two test processes are 70±5cm above the intersection of the surface of the seat and the surface of the backrest, and the horizontal coordinates are on the center plane of the seat, that is, consistent with the head position of a normal passenger sitting posture.

[0050] After obtaining the target objective parameters characterizing the in-vehicle spatial sense and the subjective evaluation results characterizing the in-vehicle spatial sense, the relationship between the target objective parameters and the subjective evaluation results is used to fit an in-vehicle spatial sense evaluation model for in-vehicle spatial sense evaluation. Subsequently, the in-vehicle spatial sense evaluation model can be used in combination with the actual objective parameters to obtain the objective and subjective evaluation results of the in-vehicle spatial sense of the test vehicle.

[0051] It is worth noting that, unlike the traditional solution, in the embodiment of the present application, a method for evaluating and obtaining the sense of space in the vehicle is provided, wherein the subjective evaluation result is determined according to the evaluation result of the sense of space in the vehicle corresponding to different subdivision dimensions under the preset subjective evaluation rules, that is, a multi-level semantic subdivision dimension of subjective evaluation is set for evaluation, and the subjective evaluation of the sense of space in the vehicle audio is semantically subdivided. This multi-dimensional subdivision method can make the subjective evaluation more appropriate. Since the present application standardizes the subjective evaluation dimension according to the experiment, and then obtains the sense of space evaluation model in the vehicle that can predict the auditory score of the spatial sound in the vehicle through the target objective parameters by fitting the target objective parameters, that is, it can obtain the subjective evaluation result of the sense of space in the vehicle more accurately according to the objective data, which can provide a reference for the adjustment of the vehicle audio system, saving adjustment rounds and time. For example, it can be applied to the design of intelligent display cockpits such as networking and design centers to provide leading spatial sound solutions and present the best spatial auditory experience.

[0052] As an example, in the above embodiments and subsequent embodiments, the evaluation results can be expressed as a way of representing subjective evaluation differences, such as a score or rating, without specific limitation. For example, the subjective evaluation result can be a subjective evaluation score, which is a specific mathematical score; or it can be expressed by a character such as a letter that represents the subjective evaluation difference, without specific limitation. For the convenience of calculation, all can be converted into digital form.

[0053] It should be noted that, as an example, the target objective parameters include objective parameters characterizing spatial geometry and objective parameters characterizing spatial telepresence; as another example, the target objective parameters may only include objective parameters characterizing spatial geometry.

[0054] In this embodiment, the types of target objective parameters that need to be converted in this application are clarified to ensure the feasibility of the solution. Among them, in the solution where the target objective parameters include objective parameters that characterize the sense of spatial geometry and objective parameters that characterize the sense of spatial presence, objective parameters that characterize the sense of spatial immersion are included, the influence of the sense of spatial immersion is taken into consideration, and the content of the sense of spatial geometry is more appropriately refined, so that the evaluation can be more appropriate.

[0055] Furthermore, in one embodiment, the target objective parameters include the inter-aural correlation coefficient (IACC), binaural time difference (ITD), mean spectral rolloff, mean entropy of left and right ears, mean rms diff, reverberation time, lateral reflective sound, spectral center C corresponding to the test sound source. raw , sound distribution area ASD and inter-channel correlation KTL_V1 of different test sound sources. Exemplarily, lateral reflected sound includes early lateral reflected sound (early lateral reflective sound). It should be noted that the above parameters corresponding to the test sound source refer to objective parameters converted from the sound signal emitted by the test sound source. The selection of the target objective parameters is a parameter that is verified by the spatial sound field playback laboratory and is associated with the subjective feeling. The selection of the target objective parameters can be shown in Table 1 below:

[0056]

[0057] Table 1

[0058] In this embodiment, the specific parameter types that characterize the spatial immersion and spatial geometry are refined, and a selection scheme for objective parameters is set to ensure the feasibility of the scheme. It is worth noting here that the home theater spatial surround sound is set so that the listening position is located on the mid-vertical line of the symmetry plane of the ambient sound, while in a small space environment such as a car, the passenger's listening position deviates greatly from the vertical line of the sound system, and in a small space, the sound undergoes multiple complex reflections that affect the sense of space. The existing listening room or theater spatial sound experience cannot be applied to this small space environment; the setting of the above parameters is more suitable for the environmental characteristics of a small space in a car.

[0059] The above target objective parameters are obtained by analyzing the analyzer. After the collector collects the relevant data, it is input into the analyzer, and the analyzer obtains the above target objective parameters according to the required analysis and processing. In addition, in other embodiments, the target objective parameters may also include some parameters in Table 1 above, and may further include other parameters associated with subjective feelings, which are not specifically limited and are not illustrated one by one.

[0060] In this application, in order to obtain the appropriateness of the target objective parameters, some optimization processing is also done when analyzing and extracting each target objective parameter. The following is a detailed description of the acquisition process of each target objective parameter.

[0061] (1) Binaural correlation coefficient IACC

[0062] The binaural mutual correlation coefficient IACC represents the correlation degree of the sound signals received by the two ears. The smaller the value is, the wider the sound field width is. Figure 3 As shown, the binaural correlation coefficient IACC can be obtained in the following manner: the test sound source sends a sound signal, the collector collects the sound signal to obtain original data, the swept frequency signal of the original data is pulse processed to obtain a pulse signal, the pulse signal is converted into an analog signal through a gamatone filter, the analog signal is rectified and filtered to obtain an auditory signal, and the auditory signal is correlated to obtain the inter-ear correlation coefficient IACC.

[0063] Specifically, the calculation method can be shown in the following formula 1:

[0064]

[0065] Among them, r b (m, t, τ) represents the binaural cross-correlation coefficient IACC, which represents the binaural cross-correlation coefficient at time t, in the mth frequency band, with a lag of τ. L,m and b R,mThey represent the m-band signals obtained by simulating the human ear through the gamatone filter of the left ear and the m-band signals obtained by the right ear, and then the auditory signals obtained through the rectified aluminum foil. t represents the time of the sound signal at a certain moment, N represents the number of samples of the sound signal, and τ represents the number of lags of the sample in the arrival time of the binaural signals.

[0066] (2) Interaural Time Difference (ITD)

[0067] The interaural time difference ITD is selected as the reference objective data value for sound image localization. Of course, other reference values ​​for sound image localization may also be used. There is no specific limitation. This example uses the interaural time difference ITD as an example for explanation. Figure 4 As shown, the interaural time difference ITD can be obtained in the following manner: the test sound source sends a sound signal, the collector collects the sound signal to obtain original data, the swept frequency signal of the original data is pulse processed to obtain a pulse signal, the pulse signal is converted into an analog signal through a gamatone filter, the analog signal is rectified and filtered to obtain a hearing signal, and then the hearing signal is solved according to Formula 2 to obtain the interaural time difference ITD.

[0068] Wherein, formula 2 is as follows:

[0069]

[0070] Among them, ITD(m,t) represents the interaural time difference, which means the interaural time difference of the mth frequency band at time t, b L,m and b R,m They represent the m-band signals obtained by simulating the human ear through the gamatone filter of the left ear and the m-band signals obtained by the right ear, and then the auditory signals obtained through the rectified aluminum foil. t represents the time of the sound signal at a certain moment, N represents the number of samples of the sound signal, and τ represents the number of lags of the sample in the arrival time of the binaural signals.

[0071] It should be understood that the structure of the human ear will roughly resonate with 24 frequency points, which become the Bark domain, as shown in Table 2. The Bark domain can more realistically reflect the feeling of the human ear to the sound signal. Therefore, in this embodiment, the interaural time difference ITD data is processed into 24 results according to the 24 frequency bands shown in Table 2, and the signal of the frequency band where the fundamental frequency of human voice is concentrated (i.e., within 100-770Hz) is selected. It is worth noting that since the positioning of human voice is of great concern in the subjective evaluation of the interior of the car, the selection of these concentrated frequency bands can be mainly used to accurately judge the sound image of human voice.

[0072] Bark domain frequency division

[0073]

[0074]

[0075] Table 2

[0076] (3) Mean spectral rolloff

[0077] Mean spectral rolloff represents the distance and surround of the sound signal. The smaller the value, the farther the distance of the sound field is. Figure 5 As shown, the average spectrum attenuation mean_spectral_rolloff can be obtained in the following manner: the test sound source emits a sound signal, the collector collects the sound signal to obtain the original data, the pink noise of the original data is subjected to Fourier transform to obtain the spectrum distribution, and the frequency that satisfies the following formula 3 is calculated through the spectrum distribution, and then different segments of pink noise are selected and repeated multiple times, and the average value is obtained to obtain the average spectrum attenuation mean_spectral_rolloff. Exemplary, for example, when testing 20s pink noise, 0-5s is selected for the first time, 5-10s is selected for the second time, and 10-15s is selected for the third time, and then the spectrum is calculated and then the sound spectrum attenuation is calculated, and the results of the three calculations are averaged. The purpose of multiple calculations and averaging is to reduce errors and improve the accuracy of the average sound spectrum attenuation mean_spectral_rolloff.

[0078] Wherein, formula 3 is as follows:

[0079]

[0080] Among them, M j (n) represents the amplitude of the signal after Fourier transformation, that is, the amplitude of the frequency n Hz, N is the data length of Fourier transformation, r j It indicates the first frequency point whose cumulative amplitude is greater than 95% of the full-band amplitude from low to high. The average spectral attenuation mean_spectral_rolloff is the value of this frequency point, and n indicates the frequency point.

[0081] (4) Mean entropy of left and right ears mean_entropy

[0082] The mean value of the left and right ear entropy, mean_entropy, represents the complexity of the sound signal. The larger the value, the more complex the sound field information is. Figure 6As shown, the mean value of the left and right ear entropy mean_entropy can be obtained in the following way: the test sound source sends a sound signal, the collector collects the sound signal to obtain the original data, obtains the amplitude and quantity of the pink noise of the original data, and then divides the range interval and number according to the amplitude and quantity of the pink noise, and then obtains the probability value corresponding to the sound signal falling into the corresponding amplitude interval by statistics, and finally uses the probability value to solve to obtain the signal entropy value and the mean value of the left and right ear entropy mean_entropy. Specifically, first determine the maximum and minimum values ​​of the amplitude in the original data, and obtain the number of divisions according to the empirical formula (known data volume length), and divide multiple signal amplitude intervals, then the amplitude of the signal can be counted to characterize how many samples are in each amplitude interval, so as to obtain the corresponding probability value in the corresponding amplitude interval, and obtain the mean value of the left and right ear entropy mean_entropy according to the formula.

[0083] Specifically, the calculation formulas for the mean entropy of the left and right ears, mean_entropy, are shown in Equation 4, Equation 5, and Equation 6:

[0084]

[0085]

[0086] mean_entropy = (entropy L +entropy R ) / 2 Formula 6

[0087] Among them, entropy L represents the left ear entropy value, P(α L (t)) shows the distribution probability values ​​of different amplitude ranges of the left ear signal under the sampling histogram. The number of amplitude ranges is related to the data volume N and is determined by the empirical formula n=1+log2N. The right ear is similar, as shown in Formula 5. Finally, as shown in Formula 6, the mean entropy of the left and right ears is obtained.

[0088] (5) Average amplitude distortion mean_rms_diff

[0089] The average amplitude distortion mean_rms_diff represents the average degree of amplitude distortion of the signal obtained by the sound reproduction system under different angles. Figure 7As shown, the average amplitude distortion mean_rms_diff can be obtained in the following way: the test sound source sends out a sound signal, which is 19 segments of spatial sense test audio. The collector collects the sound signal to obtain original data, divides the original data to obtain pink noise signals at multiple angles, and then applies the RMS calculation formula to solve the RMS value according to the pink noise signals at multiple angles, and obtains the RMS value of the reference system, and compares and obtains the average value of the two, the average amplitude distortion mean_rms_diff.

[0090] It should be noted that in Figure 7 In the processing process shown, the range of 1.0-180° is based on an interval of 10 degrees, so there are audios in 19 directions. Of course, it can be further refined, for example, with an interval of 5. There is no specific limit. Refining it into audios in 19 directions can reduce the workload of data processing. In the test sound source, the pink noise in each direction can be set to play for a certain number of seconds and then leave a short period of time. The collected original data is pink noise. Post-processing only needs to segment the original data into segments of a certain number of seconds and the length of the blank time to obtain pink noise signals at multiple angles, which is more convenient.

[0091] It should also be noted that after obtaining pink noise signals at different angles, the RMS calculation formula (that is, the root mean square formula) can be applied to solve it. The RMS calculation process of the reference system is the same, but the reference system is an artificially selected audio system whose playback effect meets the requirements.

[0092] Specifically, the calculation formula of the average amplitude distortion mean_rms_diff is shown in Equation 7 and Equation 8:

[0093]

[0094]

[0095] Where T represents the sampling rate, α L,φ and α R,φ Respectively represent the sound pressure level of the sound signal measured by both ears when the direction of the sound source is φ, RMS Ref That is, Formula 7 obtains the sound pressure level when the sound source direction is φ, RMS DUT It is the effective value measured when the sound source direction of the reference system is φ. The selection of this reference system is not fixed. In the embodiment of the present application, the reference standard Dolby Atmos sound system layout is used. Of course, you can also choose a sound system that you subjectively think has better listening experience, and there is no specific limitation.

[0096] (6) Reverberation time T20

[0097] It should be noted that in hall acoustics, the time required for the sound pressure level to decrease by 60dB after the sound source stops making sound is defined as the reverberation time T60. The process of sound pressure level decaying in the room is called the reverberation process. If the reverberation time is too short, the sound will be dull and unnatural, and if the reverberation time is too long, the sound will be mixed. In this application, since the reflection complexity of the small space in the car is greater than that of the hall, in this embodiment, combined with the characteristics of the small space in the car, this reverberation time index is modified to measure the sound attenuation range of -5 to -25dB for estimating the reverberation time as a reference, recorded as the reverberation time T20. In this way, the accuracy of the reverberation time can be improved.

[0098] (7) Early side reflection sound C80

[0099] It should be understood that the logarithm of the ratio of the sound energy within 80ms to the sound energy after 80ms represents the clarity of the music, which is also the early lateral reflection sound C80.

[0100] (8) Spectral center C raw

[0101] The center of gravity of the spectrum is C raw It is used to characterize the spectral distribution characteristics of the signal, and is obtained by combining the average spectral attenuation index to reflect the distribution of each frequency band of the signal. When solving the problem, the measured pink noise signal is Fourier transformed to obtain the spectrum, that is, the amplitude information of different frequencies is obtained, and then the solution can be obtained according to the calculation formula of the center of gravity.

[0102] (9) Inter-channel correlation KTL_V1

[0103] It should be understood that different test sound source arrangements form different sound source channels, and the consistency between channels can improve the listener's spatial impression to a certain extent, that is, the sense of envelopment is not only related to the distribution of sound sources, but also closely related to the correlation between sounds. Figure 8 As shown, the inter-channel correlation KTL_V1, which is the first KLT characteristic signal variance V1, can characterize the correlation between channels to a certain extent. KLT is also called principal component analysis (PCA), which is related to singular value decomposition, characteristic system and modal analysis. According to the definition, the first KLT characteristic signal variance V1 is the largest variance of the system, so if the result of V1 is large, it means that the signals are highly correlated.

[0104] (10) Sound distribution area ASD

[0105] The sound distribution area ASD, to a certain extent, characterizes the sense of space and surround. This indicator is based on the KLT transformation. First, the principal component is extracted from the channel signal, and the direction and variance of the principal component are detected based on the spatial scene analysis, so as to calculate the distribution of the sound around the listener. Exemplarily, in one embodiment, in order to simplify the calculation of the sound distribution area ASD, it can be assumed that the sound distribution around the listener is symmetrical, the components required for 90% variance are selected, the angular displacement of irrelevant components is removed, and the arc with the maximum angular displacement is found and calculated, so as to obtain the sound distribution area ASD.

[0106] Specifically, it is calculated using the following equations 9 and 10:

[0107] ASD=r 2 θ max Formula 9

[0108]

[0109] Among them, θ max is the radian of the maximum angular displacement, r is the virtual radius, e j is the variance explained by the jth component, and the value of N depends on the number of feature channels required to explain 90% of the variance.

[0110] It should be noted that the above-mentioned solution of each target objective parameter is explained. In the process of analyzing and making each target objective parameter, as an example, a test sound source containing a pink noise signal, a single channel of about 20 to 20000 Hz, and a full-channel sweep signal can be made, separated by blank gaps and pure tone signal marks. Then GBT18697-2002, the vertical coordinate of the measuring point is 70±5cm above the intersection of the seat surface and the backrest surface, and the horizontal coordinate is on the center plane of the seat, that is, consistent with the normal passenger sitting head position, so as to process the raw data into the target objective parameter.

[0111] In this example, the calculation of the above-mentioned target objective parameters requires raw data signals including pink noise, such as spectral attenuation, and some also require swept frequency signals such as ITD. Therefore, the processing method of blank gaps and pure tone markings can facilitate the subsequent segmentation of the measured raw data, thereby improving data processing efficiency and convenience.

[0112] In one embodiment, in step S30, i.e., using the target objective parameters and the subjective evaluation results, a vehicle interior space perception evaluation model is fitted to be used for vehicle interior space perception evaluation, including:

[0113] S31: constructing an initial in-vehicle space perception evaluation model through the parameter type of the target objective parameter;

[0114] S32: using the correspondence between the subjective evaluation results and the target objective parameters, determining the weight coefficients of the target objective parameters of the initial in-vehicle space perception evaluation model;

[0115] S33: Obtain a final in-vehicle space perception evaluation model according to the parameter type of the target objective parameter and the corresponding weight coefficient.

[0116] In this embodiment, a vehicle interior space sense evaluation model can be established by fitting the subjective evaluation results and the types of target objective parameters to predict the subjective evaluation of the vehicle interior space sense, represented by S, assuming that a, b, c, d, e, f, g, h, i, j, and k are the weight coefficients of each target objective parameter in the vehicle interior space sense evaluation model. Then S can be expressed as:

[0117] S=a+b×IACC+c×mean_spectral_rolloff+d×ITD+e×mean_entropy+f×mean_rms_diff+g×T20+h×C80+i×Craw+j×KTL_V1+k×ASD;

[0118] It should be understood that the purpose of fitting the score here is to explore the relationship between the final subjective evaluation and the subjective evaluation of the subdivided multi-level refined dimensions. After the relationship is obtained, it is mutually verified with the subsequent in-vehicle space sense evaluation model. In this embodiment, the purpose is to build an objective model, that is, an in-vehicle space sense evaluation model. The in-vehicle space sense evaluation model can obtain the space sense score of the car by measuring a series of data (pink noise, sweep frequency) in the car, which is used for in-vehicle space sense evaluation, eliminating various inconveniences of subjective evaluation. That is, through a series of subjective evaluation results of vehicle models and target objective parameters, the relationship between them is found, and an objective in-vehicle space sense evaluation model is constructed. Then, for a new vehicle model, only the objective data is measured and substituted into the obtained in-vehicle space sense evaluation model to obtain the objective subjective evaluation result.

[0119] In one embodiment, the subdivision dimensions of the preset subjective evaluation rules include a first evaluation dimension characterizing a sense of spatial geometry and a second evaluation dimension characterizing a sense of telepresence, the first evaluation dimension includes at least one evaluation result of the sense of spatial geometry, and the second evaluation dimension includes at least one evaluation result of the sense of telepresence.

[0120] In one embodiment, the first evaluation dimension includes at least:

[0121] 1) Sound field width;

[0122] 2) Sound field height;

[0123] 3) Sound field depth;

[0124] 4) Sound and image localization;

[0125] 5) Sound continuity;

[0126] The second evaluation dimension includes:

[0127] 1) A sense of envelopment;

[0128] 2) Resonance and appeal.

[0129] That is to say, the first evaluation dimension includes at least one or more evaluation scores of sound field width, sound field height, sound field depth, sound image positioning and sound continuity; the second evaluation dimension includes at least one or more evaluation scores of envelopment and resonance appeal.

[0130] In this embodiment, the subjective evaluation results of the introduced multi-level refined dimensions are specifically refined, with the second level of subjective evaluation including spatial geometry and sense of reality, and the third level of subjective evaluation including sound field width, height, and depth. By performing multi-level semantic segmentation on the subjective evaluation of the sense of space of the in-car audio system, rather than relying solely on intuitive impression experience as the evaluation standard, a more refined reflection of the real sense of space of the vehicle is achieved, which is conducive to improving the effectiveness and accuracy of the in-car sense of space evaluation model obtained by the final fitting.

[0131] In one embodiment, if Fig. 9 As shown, in the two processes of obtaining the target objective parameters and the subjective evaluation results, the objective process uses an objective test sound source, while the subjective process uses a subjective evaluation sound source. It should be understood that in the specific implementation, the same test sound source can be used for both the subjective and objective processes. However, since the calculation of the target objective parameters often requires a special signal such as frequency sweep pink noise, this type of signal may be meaningless to listen to subjectively, and it is basically impossible to tell whether it is good or bad, making the reference value of the obtained subjective evaluation results small; therefore, the subjective process uses a subjective evaluation sound source; conversely, the music signal is not suitable for calculating the target objective parameters. Therefore, this embodiment can better ensure the effectiveness of the model calculation.

[0132] Among them, subjective evaluation sound sources can be divided into two categories, one is the music with surround movement beats used to evaluate the sense of spatial geometry, and the other is the music used to evaluate the sense of presence.

[0133] In one embodiment, the subjective evaluation result is determined by:

[0134] S101: Obtaining a spatial geometric sense target evaluation result through at least one spatial geometric sense evaluation result;

[0135] S102: Obtaining a target evaluation result of the telepresence reality through at least one evaluation score of the telepresence reality;

[0136] S103: According to preset weight coefficients, fit the spatial geometry target evaluation results and the telepresence target evaluation results to obtain a subjective evaluation result.

[0137] In this embodiment, taking the evaluation result as a score as an example, the evaluator scores the vehicle model from two aspects of spatial geometry and presence realism, and the total score of the in-vehicle spatial sense is obtained according to the test fitting score results, that is, the final subjective evaluation result, the subjective evaluation result = 0.42 * spatial geometry score + 0.47 * presence realism score, wherein the above weight values ​​are only exemplary and can be calibrated according to specific tests, and are not limited here.

[0138] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0139] In one embodiment, a device for evaluating and obtaining a sense of space in a vehicle is provided, and the device for evaluating and obtaining a sense of space in a vehicle corresponds one-to-one to the method for evaluating and obtaining a sense of space in a vehicle in the above embodiment. Fig.10 As shown, the vehicle actuator control device includes a first acquisition module 101, a second acquisition module 102 and a fitting module 103. The functional modules are described in detail as follows:

[0140] The first acquisition module 101 is used to acquire a target objective parameter representing the sense of space inside the vehicle;

[0141] A second acquisition module 102 is used to acquire a subjective evaluation result, where the subjective evaluation result is an evaluation result determined according to the evaluation results representing the sense of space in the vehicle corresponding to different subdivision dimensions under a preset subjective evaluation rule;

[0142] The fitting module 103 is used to fit the in-vehicle space perception evaluation model using the target objective parameters and the subjective evaluation results, so as to be used for the in-vehicle space perception evaluation.

[0143] In one embodiment, the subdivision dimensions of the preset subjective evaluation rules include a first evaluation dimension characterizing a sense of spatial geometry and a second evaluation dimension characterizing a sense of telepresence, the first evaluation dimension includes at least one evaluation result of the sense of spatial geometry, and the second evaluation dimension includes at least one evaluation result of the sense of telepresence.

[0144] In one embodiment, the first evaluation dimension includes at least one or more evaluation scores of sound field width, sound field height, sound field depth, sound image positioning and sound continuity; the second evaluation dimension includes at least one or more evaluation scores of envelopment and resonance appeal.

[0145] In one embodiment, the subjective evaluation result is determined by:

[0146] Obtaining a spatial geometric sense target evaluation result through at least one spatial geometric sense evaluation result;

[0147] Obtaining a target evaluation result of the sense of presence through at least one evaluation score of the sense of presence;

[0148] According to the preset weight coefficients, the spatial geometry target evaluation results and the telepresence target evaluation results are fitted to obtain the subjective evaluation results.

[0149] In one embodiment, the target objective parameters include objective parameters characterizing spatial geometry and objective parameters characterizing spatial telepresence.

[0150] In one embodiment, the target objective parameters include the binaural correlation coefficient corresponding to the test sound source, the binaural time difference, the average sound spectrum attenuation, the mean of the left and right ear entropy, the average amplitude distortion, the reverberation time, the lateral reflected sound, the spectral center of gravity, the sound distribution area and the inter-channel correlation of different test sound sources.

[0151] In one embodiment, the fitting module 103 is used to:

[0152] The initial evaluation model of the sense of space in the vehicle interior is constructed through the parameter types of the target objective parameters;

[0153] Using the correspondence between the subjective evaluation results and the target objective parameters, the weight coefficients of the target objective parameters of the initial in-vehicle space perception evaluation model are determined;

[0154] According to the parameter type and corresponding weight coefficient of the target objective parameter, the final in-vehicle space perception evaluation model is obtained.

[0155] A method for evaluating and obtaining the sense of space in a vehicle is provided, wherein the subjective evaluation result is an evaluation result determined according to the evaluation results corresponding to different subdivision dimensions representing the sense of space in the vehicle under the preset subjective evaluation rules. That is to say, a multi-level semantic subdivision dimension of subjective evaluation is set for evaluation, and the subjective evaluation of the sense of space in the vehicle audio is semantically subdivided. This multi-dimensional subdivision method can make the subjective evaluation more appropriate. Since the present application standardizes the subjective evaluation dimension according to the experiment, and then obtains the sense of space evaluation model in the vehicle that can predict the auditory score of the spatial sound in the vehicle through the target objective parameters by fitting the target objective parameters, that is, it can obtain the subjective evaluation results of the sense of space in the vehicle more accurately based on the objective data, which can provide a reference for the adjustment of the vehicle audio system, saving adjustment rounds and time. For example, it can be applied to the design of intelligent display cabins such as the Internet of Things and the design center to provide leading spatial sound solutions and present the best spatial auditory experience.

[0156] For the specific definition of the evaluation and acquisition device for the sense of space in the vehicle, please refer to the definition of the evaluation and acquisition method for the sense of space in the vehicle above, which will not be repeated here. Each module in the above-mentioned evaluation and acquisition device for the sense of space in the vehicle can be implemented in whole or in part by software, hardware and a combination thereof. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0157] In one embodiment, a computer device is provided, whose internal structure diagram can be as follows: Fig.11 As shown. The computer device includes a processor, a memory, and a network interface connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the controller includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. When the computer program is executed by the processor, a method for evaluating and obtaining a sense of space in a vehicle is implemented.

[0158] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the following steps when executing the computer program:

[0159] Obtaining target objective parameters that characterize the sense of space inside the vehicle;

[0160] Obtaining a subjective evaluation result, where the subjective evaluation result is an evaluation result determined according to the evaluation results representing the sense of space inside the vehicle corresponding to different subdivision dimensions under a preset subjective evaluation rule;

[0161] By using the target objective parameters and subjective evaluation results, an in-vehicle space perception evaluation model is fitted for in-vehicle space perception evaluation.

[0162] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the method for evaluating and obtaining the sense of space in a vehicle mentioned in any of the above embodiments is implemented.

[0163] A computer-readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

[0164] Obtaining target objective parameters that characterize the sense of space inside the vehicle;

[0165] Obtaining a subjective evaluation result, where the subjective evaluation result is an evaluation result determined according to the evaluation results representing the sense of space inside the vehicle corresponding to different subdivision dimensions under a preset subjective evaluation rule;

[0166] By using the target objective parameters and subjective evaluation results, an in-vehicle space perception evaluation model is fitted for in-vehicle space perception evaluation.

[0167] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0168] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0169] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A method for evaluating and obtaining a sense of space in a vehicle, characterized in that: include: Obtaining target objective parameters that characterize the sense of space inside the vehicle; Obtaining a subjective evaluation result, where the subjective evaluation result is an evaluation result determined according to evaluation results representing the sense of space inside the vehicle corresponding to different subdivision dimensions under a preset subjective evaluation rule; The target objective parameters and the subjective evaluation results are used to fit an in-vehicle space perception evaluation model for in-vehicle space perception evaluation.

2. The method for evaluating the sense of space in a vehicle according to claim 1, wherein: The subdivision dimensions of the preset subjective evaluation rule include a first evaluation dimension characterizing a sense of spatial geometry and a second evaluation dimension characterizing a sense of telepresence, wherein the first evaluation dimension includes at least one evaluation result of the sense of spatial geometry, and the second evaluation dimension includes at least one evaluation result of the sense of telepresence.

3. The method for evaluating and acquiring the sense of space in a vehicle according to claim 2, wherein: The first evaluation dimension includes at least one or more evaluation scores of sound field width, sound field height, sound field depth, sound image positioning and sound continuity; the second evaluation dimension includes at least one or more evaluation scores of envelopment and resonance appeal.

4. The method for evaluating the sense of space in a vehicle according to claim 2, wherein: The subjective evaluation results are determined in the following manner: Obtaining a spatial geometric sense target evaluation result through at least one spatial geometric sense evaluation result; Obtaining a target evaluation result of the sense of presence through at least one evaluation score of the sense of presence; The spatial geometry target evaluation result and the telepresence target evaluation result are fitted according to preset weight coefficients to obtain the subjective evaluation result.

5. The method for evaluating and acquiring the sense of space in a vehicle according to claim 1, wherein: The target objective parameters include objective parameters characterizing spatial geometric sense and objective parameters characterizing spatial telepresence realism.

6. The method for evaluating and acquiring the sense of space in a vehicle according to claim 5, characterized in that: The target objective parameters include the binaural correlation coefficient corresponding to the test sound source, binaural time difference, average spectral attenuation, mean left and right ear entropy, average amplitude distortion, reverberation time, lateral reflected sound, spectral center of gravity, sound distribution area and channel correlation between different test sound sources.

7. The method for evaluating and acquiring the sense of space in a vehicle according to claim 5, characterized in that: The method of fitting an in-vehicle space sense evaluation model using the target objective parameter and the subjective evaluation result for in-vehicle space sense evaluation includes: Constructing an initial in-vehicle space perception evaluation model through the parameter type of the target objective parameter; Determining the weight coefficient of each of the target objective parameters of the initial in-vehicle space perception evaluation model by using the corresponding relationship between the subjective evaluation result and the target objective parameter; According to the parameter type and the corresponding weight coefficient of the target objective parameter, the final vehicle interior space perception evaluation model is obtained.

8. A device for evaluating and obtaining a sense of space in a vehicle, characterized in that: include: The first acquisition module is used to acquire the target objective parameters representing the sense of space in the vehicle; A second acquisition module is used to acquire a subjective evaluation result, where the subjective evaluation result is an evaluation result determined according to the evaluation results representing the sense of space in the vehicle corresponding to different subdivision dimensions under a preset subjective evaluation rule; The fitting module is used to use the target objective parameters and the subjective evaluation results to fit an in-vehicle space sense evaluation model for in-vehicle space sense evaluation.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the method for evaluating and acquiring the in-vehicle spatial sense according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method for evaluating and acquiring the in-vehicle spatial sense as described in any one of claims 1 to 7 are implemented.

Images