CN115410598A - Accelerated sound quality evaluation method, device, computer equipment and storage medium - Google Patents
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Abstract
The invention relates to the field of automobile noise processing, and discloses an accelerated sound quality evaluation method, an accelerated sound quality evaluation device, computer equipment and a storage medium, wherein the method comprises the following steps: carrying out order analysis on the noise data to obtain order sound pressure data; performing band-pass filtering on the time domain signal of the noise data to obtain a filtered sound signal in a specified frequency range; determining a specified number of high-pressure sound orders and sound parameters corresponding to each high-pressure sound order according to the order sound pressure data and the filtered sound signal; the sound pressure level of the high sound pressure order is greater than the sound pressure level of the unselected sound order; and determining the modulation index of the noise data according to the sound parameters of each high-sound-pressure sound order. The modulation index generated by the invention can measure the modulation effect of the medium-frequency order component in the noise data and represent the fluctuation sense of the sound.
Description
Technical Field
The invention relates to the field of automobile noise processing, in particular to an accelerated sound quality evaluation method and device, computer equipment and a storage medium.
Background
The sound quality parameter is an index considering human psychological perception factors, and is often used for evaluating the quality of opening and closing a door, the quality of sound of an electrical accessory, the quality of sound of a sound, and the like. The acceleration sound quality is one of sound quality parameters for evaluating human perception of noise generated when an automobile is accelerated.
When an automobile engine is accelerated, crankshaft torsional vibration and bending vibration excited by the combustion force of a cylinder cause intermediate-frequency booming sound, and the sound is radiated outwards through the structure of the engine, and the main frequency is concentrated in the range of 200 Hz-500 Hz.
Mid-frequency rumble can be evaluated by modulation of the sound, which is related to the roughness, which is related to the modulation weighted form of the sound sample. However, when the roughness is modulated, it is generally calculated by IFFT (inverse fourier Transform) and Hilbert Transform in a roughness model. The two kinds of transformation have low frequency domain resolution or low time domain resolution, and cannot simultaneously consider the time-frequency domain calculation requirements.
Therefore, a new evaluation index is required to be found to better evaluate the quality of the frequency order component in the acceleration sound quality of the automobile engine.
Disclosure of Invention
Based on the method, the device, the computer equipment and the storage medium, the accelerated sound quality evaluation method, the device, the computer equipment and the storage medium are provided to better evaluate the quality of the frequency order component in the accelerated sound quality of the automobile engine.
An accelerated sound quality evaluation method comprising:
carrying out order analysis on the noise data to obtain order sound pressure data;
performing band-pass filtering on the time domain signal of the noise data to obtain a filtered sound signal in a specified frequency range;
determining a specified number of high-sound-pressure sound orders and sound parameters corresponding to each high-sound-pressure sound order according to the order sound pressure data and the filtered sound signal; the sound pressure level of the high sound pressure order is greater than the sound pressure level of the unselected sound order;
and determining the modulation index of the noise data according to the sound parameter of each high-sound-pressure sound order.
An accelerated sound quality evaluation apparatus comprising:
the sound pressure data acquisition module is used for carrying out order analysis on the noise data to obtain order sound pressure data;
the filtering module is used for carrying out band-pass filtering on the time domain signal of the noise data to obtain a filtering sound signal in a specified frequency range;
a sound parameter determining module, configured to determine a specified number of high-sound-pressure sound orders and sound parameters corresponding to each of the high-sound-pressure sound orders according to the order sound pressure data and the filtered sound signal; the sound pressure level of the high sound pressure order is greater than the sound pressure level of the unselected sound order;
and the modulation index determining module is used for determining the modulation index of the noise data according to the sound parameter of each high-sound-pressure sound order.
A computer device comprising a memory, a processor, and computer readable instructions stored in the memory and executable on the processor, the processor implementing the aforementioned method of accelerated sound quality assessment when executing the computer readable instructions.
One or more readable storage media storing computer-readable instructions that, when executed by one or more processors, cause the one or more processors to perform a method of accelerated sound quality assessment as described above.
According to the accelerated sound quality evaluation method, the accelerated sound quality evaluation device, the computer equipment and the storage medium, order sound pressure data are obtained through order analysis, a filtered sound signal is obtained through intermediate frequency band-pass filtering, and finally a modulation index is generated by analyzing the sound parameter by combining the order sound pressure data and a sound parameter (envelope data) extracted from the filtered sound signal, wherein the modulation index can measure the modulation effect of an intermediate frequency order component in noise data and represent the fluctuation and variation of sound.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required to be used in the description of the embodiments of the present invention will be briefly introduced below, and it is obvious that the drawings in the description below are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive labor.
FIG. 1 is a schematic diagram of an application environment of an accelerated sound quality evaluation method according to an embodiment of the present invention;
FIG. 2 is a flow chart illustrating an accelerated acoustic quality evaluation method according to an embodiment of the present invention;
FIG. 3 is a graph of a weight function used in an embodiment of the present invention;
FIG. 4 is a modulation index versus rotational speed curve in an example of an embodiment of the present invention;
FIG. 5 is a schematic diagram of an apparatus for evaluating an accelerated acoustic quality according to an embodiment of the present invention;
FIG. 6 is a schematic diagram of a computing device according to an embodiment of the invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The method for evaluating the sound quality acceleration provided by the embodiment can be applied to the application environment shown in fig. 1, in which a client communicates with a server. The client includes, but is not limited to, various personal computers, notebook computers, smart phones, tablet computers, and portable wearable devices. The server side can be implemented by an independent server or a server cluster formed by a plurality of servers.
In an embodiment, as shown in fig. 2, an accelerated sound quality evaluation method is provided, which is described by taking the method applied to the server in fig. 1 as an example, and includes the following steps S10 to S40.
And S10, carrying out order analysis on the noise data to obtain order sound pressure data.
Understandably, noise data may refer to engine noise collected under a particular environment (which may be a semi-anechoic room or a special road condition), particularly during acceleration of the vehicle. An order tracking method may be used to determine the order of the noise data. In the frequency spectrum of the noise data, there are some sound components having frequencies f (Hz) and engine speed R (R/s) in a proportional relationship of n = f/R, where n is the order. The order sound pressure data includes a plurality of order sound pressure levels.
In one example, sound pressure levels may be acquired every 0.5 th order, starting from 1st order and going up to 15 th order, resulting in order sound pressure data.
Here, the sound pressure level represents the original information of the sound, which is calculated to reflect the modulation index more accurately.
And S20, performing band-pass filtering on the time domain signal of the noise data to obtain a filtered sound signal in a specified frequency range.
Understandably, a band-pass filter of a specified frequency range may be selected to filter the time-domain signal of the noise data to generate a filtered sound signal. The specified frequency range can be set according to actual needs, and can be 200 Hz-500 Hz.
S30, determining a designated number of high-sound-pressure sound orders and sound parameters corresponding to the high-sound-pressure sound orders according to the order sound pressure data and the filtered sound signals; the sound pressure level of the high sound pressure order is greater than the sound pressure level of the unselected sound order.
Understandably, in the filtered sound signal, the sound pressure levels of the respective orders at a certain engine speed can be extracted, and then the orders of the designated number ordered before are marked as high-pressure sound orders according to the order from high to low. Simultaneously, sound parameters of each high-sound-pressure sound order are extracted from the filtered sound signal. Herein, sound parameters include, but are not limited to, reproduction, frequency, and phase. The specified number can be set according to actual needs, and can be 4. The 4 high-pressure sound orders include a main order and three harmonics.
And S40, determining the modulation index of the noise data according to the sound parameter of each high sound pressure sound order.
Understandably, the sound parameters can be fourier transformed to obtain an envelope spectrum. Then, a specified direct current component and a root-mean-square alternating current component are extracted from the envelope spectrum, and finally, a modulation index is calculated according to the direct current component and the root-mean-square alternating current component. In some examples, an envelope of the time-domain signal may be composed of four-order sound parameters, and a spectrum obtained by fourier transforming the envelope is an envelope spectrum. The specified dc component refers to the value of the envelope spectrum at 0Hz. When the envelope is subjected to Fourier transform, weighting information is added, and then a weighted envelope spectrum can be formed. And performing inverse Fourier transform on the weighted envelope spectrum to obtain the root-mean-square alternating-current component. The modulation index may be the ratio between the rms ac component and the specified dc component.
The modulation index is used for measuring the modulation effect of the medium-frequency order component in the noise data, representing the fluctuation sense of sound, and the good acceleration sound quality has a moderate modulation index value. The larger the modulation index is, the more severe the fluctuation of the representative sound is, causing roughness and a feeling of shaking, and the excessive roughness and feeling of shaking may cause complaints. The smaller the modulation index is, the smoother the sound is, the sound has no tonal feeling, and the sound quality is poorer.
In this embodiment, order sound pressure data is obtained through order analysis, a filtered sound signal is obtained through intermediate frequency band-pass filtering, and finally, a modulation index is generated by analyzing a sound parameter (envelope data) extracted by combining the order sound pressure data and the filtered sound signal, and the modulation index can measure a modulation effect of an intermediate frequency order component in noise data and represent fluctuation of sound.
Understandably, the step S10 of performing order analysis on the noise data to obtain order sound pressure data includes:
s101, sound pressure levels of preset order intervals are obtained within a preset order range, and order sound pressure data are generated.
Understandably, the preset order range can be set according to actual needs, such as 1 to 15. The preset order interval can be set according to actual needs, for example, can be set to 0.5.
This embodiment is through setting up preset order scope and preset order interval to in order to elect high sound pressure sound order from the filtering sound signal.
Optionally, in step S40, the determining a modulation index of the noise data according to the sound parameter of each high sound pressure sound order includes:
s401, setting a direct current component function and an alternating current component function of the noise data according to the sound parameters of the high-sound-pressure sound orders;
s402, setting an envelope spectrum function of the noise data according to the direct current component function and the alternating current component function;
s403, determining a specified direct current component of the noise data at a specified frequency according to the direct current component function; weighting the envelope spectrum function through a weight function to obtain a weighted envelope spectrum function;
s404, performing inverse Fourier transform on the weighting envelope spectrum function to obtain a root-mean-square alternating current component;
s405, determining the modulation index according to the root-mean-square alternating current component and the specified direct current component.
Understandably, the sound parameters include the amplitude, phase and frequency of each high sound pressure sound order. The first high-pressure sound order refers to a major order, and the second, third, and fourth high-pressure sound orders are harmonic orders.
The dc component function can be expressed as:
D 1 ＝A 1 2 +A 2 2 +A 3 2 +A 4 2
wherein D is 1 A function value representing a direct current component function;
A 1 a first amplitude being a first high sound pressure order;
A 2 a second amplitude being a second high sound pressure order;
A 3 a third amplitude of a third high sound pressure sound order;
A 4 a fourth amplitude of a fourth high sound pressure order.
Through the direct current component function, the direct current component of each rotating speed of the engine can be solved. The specified DC component may refer to a specified DC component of the noise data at a specified frequency, denoted DC. The specified frequency may be 0Hz.
The alternating current component function includes a first alternating current component function, a second alternating current component function, and a third alternating current component function. These alternating current component functions can be expressed as:
wherein, C 1 A function value of a first alternating current component function;
C 2 a function value of the second alternating current component function;
C 3 a function value of a third alternating current component function;
f 1 a first frequency that is a first high sound pressure sound order;
f 2 a second frequency that is a second high sound pressure sound order;
f 3 a third frequency that is a third high sound pressure sound order;
f 4 a fourth frequency that is a fourth high sound pressure sound order;
A 1 a first amplitude being a first high sound pressure order;
A 2 a second amplitude being a second high sound pressure order;
A 3 a third amplitude of a third high sound pressure sound order;
A 4 a fourth amplitude of a fourth high sound pressure order;
After obtaining the respective direct current component function and alternating current component function, an envelope spectrum function may be obtained, the envelope spectrum function including:
wherein envelop (t) is an envelope spectrum of the noise data;
and t is a time step.
Each time step corresponds to a different rotational speed. Each speed corresponds to a different frequency.
The weight function is a function between the weighting coefficient and the modulation frequency. As shown in fig. 3, fig. 3 is a graph of a weight function used in an example. In FIG. 3, the frequency band corresponding to the Bark1 curve (denoted as 1st _barkin the figure) is 0 to 100Hz, the frequency band corresponding to the Bark2.5 curve (denoted as 2.5th _barkin the figure) is 100Hz to 250Hz, the frequency band corresponding to the Bark8 curve (denoted as 8th _barkin the figure) is 250Hz to 920Hz, and the frequency band corresponding to the Bark11 curve (denoted as 11th _barkin the figure) is 920Hz to 1375Hz. The correspondence between the weighting coefficients and the frequencies is shown in table 1.
TABLE 1 correspondence between weighting coefficients Hi and frequencies
And weighting the envelope spectrum function by using a weight function to obtain a weighted envelope spectrum function. And performing inverse Fourier transform on the weighted envelope spectrum function to obtain a root-mean-square alternating-current component AC.
Finally, a modulation index may be calculated from the root mean square ac component and the specified dc component. The modulation index can be expressed as:
MI＝AC/DC
wherein MI is a modulation index;
AC is the root mean square AC component;
DC is a specified direct current component.
FIG. 4 is a graph of modulation index versus rotational speed for one example, as shown in FIG. 4. As can be seen from FIG. 4, in the low rotation speed interval (below 3000 r/s), the modulation index has large fluctuation; in the high rotating speed interval (higher than 4000 r/s), the modulation index tends to be stable and close to zero.
The modulation index obtained by the embodiment can be used for measuring the modulation effect of the medium-frequency order component in the noise data, representing the fluctuation sense of sound, and the good acceleration sound quality has a moderate modulation index value. The larger the modulation index is, the more severe the fluctuation of the representative sound is, causing roughness and a feeling of shaking, and the excessive roughness and feeling of shaking may cause complaints. The smaller the modulation index is, the smoother the sound is represented, the sound has no tonal sensation, and the sound quality is also poor.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
In one embodiment, an accelerated sound quality evaluation apparatus is provided, which corresponds to the accelerated sound quality evaluation method in the above embodiments one to one. As shown in fig. 5, the apparatus for evaluating the quality of an accelerated sound includes a module 10 for obtaining sound pressure data, a module 20 for filtering, a module 30 for determining sound parameters, and a module 40 for determining a modulation index. The detailed description of each functional module is as follows:
the sound pressure data acquisition module 10 is used for performing order analysis on the noise data to acquire order sound pressure data;
a filtering module 20, configured to perform band-pass filtering on the time domain signal of the noise data to obtain a filtered sound signal within a specified frequency range;
a sound parameter determining module 30, configured to determine a specified number of high-pressure sound orders and sound parameters corresponding to each of the high-pressure sound orders according to the order sound pressure data and the filtered sound signal; the sound pressure level of the high sound pressure order is greater than the sound pressure level of the unselected sound order;
and a modulation index determining module 40, configured to determine a modulation index of the noise data according to the sound parameter of each high sound pressure sound order.
Optionally, the module for acquiring sound pressure data 10 includes:
and the sound pressure data acquisition unit is used for acquiring the sound pressure level of a preset order interval in a preset order range and generating the order sound pressure data.
Optionally, the preset order range includes 1 to 15; the preset order interval comprises 0.5;
the specified frequency range includes 200Hz to 500Hz.
Optionally, the module for determining a modulation index 40 includes:
a component setting function unit for setting a direct current component function and an alternating current component function of the noise data according to the sound parameters of the high sound pressure sound orders;
an envelope spectrum function setting unit, configured to set an envelope spectrum function of the noise data according to the direct current component function and the alternating current component function;
the direct current component unit is used for determining the appointed direct current component of the noise data at appointed frequency according to the direct current component function;
the weighting unit is used for weighting the envelope spectrum function through the weight function to obtain a weighted envelope spectrum function;
the root-mean-square alternating-current component unit is used for carrying out Fourier inverse transformation on the weighting envelope spectrum function to obtain a root-mean-square alternating-current component;
and the modulation index determining unit is used for determining the modulation index according to the root-mean-square alternating-current component and the specified direct-current component.
Optionally, the dc component function includes:
D 1 ＝A 1 2 +A 2 2 +A 3 2 +A 4 2
wherein D is 1 A function value representing a direct current component function;
A 1 a first amplitude that is a first high sound pressure order;
A 2 a second amplitude being a second high sound pressure order;
A 3 a third amplitude of a third high sound pressure sound order;
A 4 a fourth amplitude of a fourth high sound pressure order.
Optionally, the alternating current component function includes:
wherein, C 1 A function value of a first alternating current component function;
C 2 a function value of the second alternating current component function;
C 3 a function value of a third alternating current component function;
f 1 is the first high sound pressure soundA first frequency of an order;
f 2 a second frequency that is a second high sound pressure sound order;
f 3 a third frequency that is a third high sound pressure sound order;
f 4 a fourth frequency that is a fourth high sound pressure sound order;
A 1 a first amplitude being a first high sound pressure order;
A 2 a second amplitude being a second high sound pressure order;
A 3 a third amplitude of a third high sound pressure sound order;
A 4 a fourth amplitude of a fourth high sound pressure order;
Optionally, the envelope spectrum function includes:
wherein envelop (t) is an envelope spectrum of the noise data;
t is the time step.
For specific limitations of the accelerated sound quality evaluation device, see the above limitations on the accelerated sound quality evaluation method, which are not described in detail herein. The respective modules in the accelerated sound quality evaluation apparatus may be entirely or partially implemented by software, hardware, or a combination thereof. The modules can be embedded in a hardware form or independent of a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as shown in fig. 6. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a readable storage medium and an internal memory. The readable storage medium stores an operating system, computer readable instructions, and a database. The internal memory provides an environment for the operating system and execution of computer-readable instructions in the readable storage medium. The database of the computer device is used for storing data related to the accelerated sound quality evaluation method. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer readable instructions, when executed by a processor, implement a method of accelerated sound quality assessment. The readable storage media provided by the present embodiment include nonvolatile readable storage media and volatile readable storage media.
In one embodiment, a computer device is provided comprising a memory, a processor, and computer readable instructions stored on the memory and executable on the processor, the processor when executing the computer readable instructions implementing the steps of:
carrying out order analysis on the noise data to obtain order sound pressure data;
performing band-pass filtering on the time domain signal of the noise data to obtain a filtered sound signal in a specified frequency range;
determining a specified number of high-sound-pressure sound orders and sound parameters corresponding to each high-sound-pressure sound order according to the order sound pressure data and the filtered sound signal; the sound pressure level of the high sound pressure order is greater than the sound pressure level of the unselected sound order;
and determining the modulation index of the noise data according to the sound parameter of each high-sound-pressure sound order.
In one embodiment, one or more computer-readable storage media having computer-readable instructions stored thereon are provided, the readable storage media provided by the present embodiments including non-volatile readable storage media and volatile readable storage media. The readable storage medium has stored thereon computer readable instructions which, when executed by one or more processors, perform the steps of:
carrying out order analysis on the noise data to obtain order sound pressure data;
performing band-pass filtering on the time domain signal of the noise data to obtain a filtered sound signal in a specified frequency range;
determining a specified number of high-sound-pressure sound orders and sound parameters corresponding to each high-sound-pressure sound order according to the order sound pressure data and the filtered sound signal; the sound pressure level of the high sound pressure order is greater than the sound pressure level of the unselected sound order;
and determining the modulation index of the noise data according to the sound parameter of each high-sound-pressure sound order.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above may be implemented by hardware related to computer readable instructions, which may be stored in a non-volatile readable storage medium or a volatile readable storage medium, and when executed, may include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. 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. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), rambus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions.
The above-mentioned embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the embodiments of the present invention, and they should be construed as being included therein.
Claims (10)
1. An accelerated sound quality evaluation method comprising:
carrying out order analysis on the noise data to obtain order sound pressure data;
performing band-pass filtering on the time domain signal of the noise data to obtain a filtered sound signal in a specified frequency range;
determining a specified number of high-sound-pressure sound orders and sound parameters corresponding to each high-sound-pressure sound order according to the order sound pressure data and the filtered sound signal; the sound pressure level of the high sound pressure order is greater than the sound pressure level of the unselected sound order;
and determining the modulation index of the noise data according to the sound parameter of each high-sound-pressure sound order.
2. The method for evaluating an accelerated sound quality of claim 1, wherein the step of analyzing the noise data to obtain step sound pressure data comprises:
and within a preset order range, acquiring sound pressure levels of preset order intervals, and generating the order sound pressure data.
3. The accelerated sound quality evaluation method according to claim 2, wherein the predetermined order range includes 1 to 15; the preset order interval comprises 0.5;
the specified frequency range includes 200Hz to 500Hz.
4. The method of claim 1, wherein determining the modulation index of the noise data according to the sound parameter of each of the high sound pressure sound orders comprises:
setting a direct current component function and an alternating current component function of the noise data according to the sound parameters of the high sound pressure sound orders;
setting an envelope spectrum function of the noise data according to the direct current component function and the alternating current component function;
determining the appointed direct current component of the noise data at appointed frequency according to the direct current component function; weighting the envelope spectrum function through a weight function to obtain a weighted envelope spectrum function;
carrying out inverse Fourier transform on the weighting envelope spectrum function to obtain a root-mean-square alternating current component;
and determining the modulation index according to the root-mean-square alternating current component and the specified direct current component.
5. The accelerated sound quality evaluation method according to claim 4, wherein the direct-current component function includes:
D 1 ＝A 1 2 +A 2 2 +A 3 2 +A 4 2
wherein D is 1 A function value representing a direct current component function;
A 1 a first amplitude being a first high sound pressure order;
A 2 a second amplitude being a second high sound pressure order;
A 3 a third amplitude of a third high sound pressure sound order;
A 4 a fourth amplitude of a fourth high sound pressure order.
6. The accelerated sound quality evaluation method according to claim 5, wherein the alternating current component function includes:
wherein, C 1 A function value of a first alternating current component function;
C 2 a function value of the second alternating current component function;
C 3 a function value of a third alternating current component function;
f 1 a first frequency that is a first high sound pressure sound order;
f 2 a second frequency that is a second high sound pressure order;
f 3 third frequency of third high sound pressure sound order；
f 4 A fourth frequency that is a fourth high sound pressure sound order;
A 1 a first amplitude being a first high sound pressure order;
A 2 a second amplitude being a second high sound pressure order;
A 3 a third amplitude of a third high sound pressure sound order;
A 4 a fourth amplitude of a fourth high sound pressure order;
7. The accelerated sound quality evaluation method according to claim 6, wherein the envelope spectrum function includes:
wherein envelop (t) is an envelope spectrum of the noise data;
t is the time step.
8. An accelerated sound quality evaluation device, comprising:
the sound pressure data acquisition module is used for carrying out order analysis on the noise data to obtain order sound pressure data;
the filtering module is used for carrying out band-pass filtering on the time domain signal of the noise data to obtain a filtering sound signal in a specified frequency range;
a sound parameter determining module, configured to determine a specified number of high-pressure sound orders and sound parameters corresponding to the high-pressure sound orders according to the order sound pressure data and the filtered sound signal; the sound pressure level of the high sound pressure order is greater than the sound pressure level of the unselected sound order;
and the modulation index determining module is used for determining the modulation index of the noise data according to the sound parameters of the high-sound-pressure sound order.
9. A computer device comprising a memory, a processor, and computer readable instructions stored in the memory and executable on the processor, wherein the processor when executing the computer readable instructions implements the method of accelerated sound quality assessment according to any one of claims 1 to 7.
10. One or more readable storage media storing computer-readable instructions that, when executed by one or more processors, cause the one or more processors to perform the method of accelerated sound quality assessment of any of claims 1-7.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115457976A (en) * | 2022-08-01 | 2022-12-09 | 广州汽车集团股份有限公司 | Accelerated sound quality evaluation method, device, computer equipment and storage medium |
| CN115795899A (en) * | 2022-12-12 | 2023-03-14 | 博格华纳汽车零部件（武汉）有限公司 | New energy electric vehicle squeaking noise evaluation method |
| CN115457976B (en) * | 2022-08-01 | 2024-07-05 | 广州汽车集团股份有限公司 | Accelerated sound quality evaluation method, device, computer equipment and storage medium |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115457976A (en) * | 2022-08-01 | 2022-12-09 | 广州汽车集团股份有限公司 | Accelerated sound quality evaluation method, device, computer equipment and storage medium |
| CN115457976B (en) * | 2022-08-01 | 2024-07-05 | 广州汽车集团股份有限公司 | Accelerated sound quality evaluation method, device, computer equipment and storage medium |
| CN115795899A (en) * | 2022-12-12 | 2023-03-14 | 博格华纳汽车零部件（武汉）有限公司 | New energy electric vehicle squeaking noise evaluation method |
| CN115795899B (en) * | 2022-12-12 | 2023-09-26 | 博格华纳汽车零部件（武汉）有限公司 | New energy electric automobile howling noise evaluation method |
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