CN110285982A - Evaluation method, device and the controller of the sound quality relative variation of automobile or engine - Google Patents
Evaluation method, device and the controller of the sound quality relative variation of automobile or engine Download PDFInfo
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- CN110285982A CN110285982A CN201910700989.XA CN201910700989A CN110285982A CN 110285982 A CN110285982 A CN 110285982A CN 201910700989 A CN201910700989 A CN 201910700989A CN 110285982 A CN110285982 A CN 110285982A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M15/00—Testing of engines
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M15/00—Testing of engines
- G01M15/02—Details or accessories of testing apparatus
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M17/00—Testing of vehicles
- G01M17/007—Wheeled or endless-tracked vehicles
Abstract
The present invention relates to a kind of automobile or evaluation method, device and the controllers of the sound quality relative variation of engine, to realize to the effect for causing the apparent feature operating condition of human ear subjective feeling difference or speed stage to be identified.This method comprises: carrying out sample sound signal and tach signal acquisition to entity to be tested and target entity；The sample sound signal of entity to be tested is divided into multiple first sound signal data blocks according to tach signal and the sample sound signal of target entity is divided into multiple second sound signal data blocks；It determines the first sound quality parameter of each first sound signal data block and determines the rising tone quality parameter of each second sound signal data block；According to the first sound quality parameter and rising tone quality parameter, the sound quality parameter differences between entity and target entity to be tested are determined；Determine VER relative variation caused by sound quality parameter differences；According to VER relative variation, determines in analysis operating condition and cause the apparent feature operating condition of subjective feeling difference.
Description
Technical field
The present invention relates to automobile sound quality analysis and evaluation field, the sound quality of specifically a kind of automobile or engine is opposite
Evaluation method, device and the controller of variable quantity.
Background technique
Sound quality can reflect human ear to the subjective acoustic characteristic of sound, and the objective parameter for describing sound quality is more, wide at present
General application has Zwicker loudness (ZL, Zwicker Loudness), speech articulation (AI, Articulation Index)
Deng.From 2007, with the fast development of automobile market, requirement of the user for auto NVH performance was higher and higher, Shi Zhijin
The day sound quality performance of product has become the potential critical consideration factor for purchasing vehicle client.
Based on understand client purchase vehicle psychology and sound hobby importance, with competition type/vehicle sound quality to mark just
The necessary links being increasingly becoming in main engine plants' product development process.However the evaluation method of sound quality is more single at present, is mostly
The absolute magnitude for directlying adopt loudness or speech articulation compares and analyzes.Such analysis method is mainly asked there are two
Topic: first is that the magnitude difference even size relation that sound quality objectively evaluates parameter be variation with operating condition and in dynamic fluctuation
's；Two be different objectively evaluate parameter represent sound quality evaluation different latitude, human ear subjective feeling difference can be caused
Relative variation be also different.In conclusion there is no the quantizating index for analyzing problems and definite method at present.
Summary of the invention
The object of the present invention is to provide the evaluation methods of a kind of automobile or the sound quality relative variation of engine, dress
It sets and controller, to realize to the effect for causing the apparent feature operating condition of human ear subjective feeling difference or speed stage to be identified.
The technical solution of the present invention is as follows:
The present invention provides the evaluation methods of a kind of automobile or the sound quality relative variation of engine, comprising:
Sample sound signal and revolving speed letter are respectively carried out to the entity and target entity to be tested that run in the case where analyzing operating condition
Number acquisition, entity be automobile or engine；
The sample sound signal of the entity to be tested is divided into according to the tach signal of the entity to be tested multiple
First sound signal data block；And according to the tach signal of the target entity by the sample sound signal of the target entity
Multiple second sound signal data blocks are divided into, a revolving speed section corresponds to a first sound signal data block and one second
Sound signal data block；
According to multiple first sound signal data blocks, the first sound of each first sound signal data block is determined
Quality parameter；And according to multiple second sound signal data blocks, determine each second sound signal data block
Rising tone quality parameter；
According to the first sound quality parameter and the rising tone quality parameter, determine entity and target entity to be tested it
Between sound quality parameter differences；
Determine VER relative variation caused by the sound quality parameter differences；
According to the VER relative variation, determines in analysis operating condition and cause the apparent feature operating condition of subjective feeling difference.
Preferably, the sample sound signal of the entity to be tested is divided according to the tach signal of the entity to be tested
For multiple first sound signal data blocks and according to the tach signal of the target entity by the sample sound of the target entity
Signal is divided into the step of multiple second sound signal data blocks and includes:
According to customized initial speed rpm0With incremental speed Δ rpm, the center of each sound signal data block is determined
Point N (rpmn)mid；
According to the central point N (rpm of each sound signal data blockn)mid, sample sound signal sample rate f s and make by oneself
The parameters frequency resolution ratio df of justice, passes through formula:
Determine the starting point N (rpm of each sound signal data blockn)1；N=1,2 ... nrpm, nrpmFor data block total number；
According to the central point N (rpm of each sound signal data blockn)mid, sample sound signal sample rate f s and make by oneself
The parameters frequency resolution ratio df of justice, passes through formula:
Determine the stop N (rpm of each sound signal data blockn)end；N=1,2 ... nrpm, nrpmFor data block total number；
Pass through the starting point N (rpm of identified each sound signal data blockn)1With stop N (rpmn)end, by sample sound
Signal is divided into multiple sound signal data blocks.
Preferably, when the first sound quality parameter and the rising tone quality parameter are loudness, according to described first
Sound quality parameter and the rising tone quality parameter, determine the sound quality parameter differences between entity and target entity to be tested
Step includes: to pass through formula:
Δ ZL=[Δ ZLn]T
Determine loudness differences the Δ ZL, Δ ZL between entity and target entity to be testednFor n-th of first voice signal numbers
According to the loudness differences between block and its corresponding n-th of second sound signal data block；Pass through formula:
Determine the sound between n-th of first sound signal data blocks and its corresponding n-th of second sound signal data block
Spend differenceFor the loudness of n-th of first sound signal data blocks,For n-th of second sound signal data
The loudness of block；WithIt is obtained by mode recorded in international standard ISO 532-1975.
Preferably, when the first sound quality parameter and the rising tone quality parameter are speech articulation, according to institute
The first sound quality parameter and the rising tone quality parameter are stated, determines the sound quality parameter between entity and target entity to be tested
The step of difference includes: to pass through formula:
Δ AI=[Δ AIn]T
Determine speech articulation the discrepancy delta AI, Δ AI between entity and target entity to be testednFor n-th of first sound
Speech articulation difference between signal data block and its corresponding n-th of second sound signal data block；Pass through formula:
Determine Δ AIn, whereinFor the speech articulation of n-th of first sound signal data blocks,It is n-th
The speech articulation of second sound signal data block；WithBy recorded in American National Standard ANSI S3.5-1969
Mode obtains.
Preferably, when the first sound quality parameter and the rising tone quality parameter are loudness, the sound product are determined
The step of VER relative variation caused by matter parameter differences includes:
Pass through formula:
Determine VER relative variation Δ VER caused by the loudness differencesZL,For n-th of first voice signals
VER relative variation caused by loudness differences between data block and its corresponding n-th of second sound signal data block；Pass through
Formula:
It determinesΔZLnFor n-th of first sound signal data blocks, n-th of second sound signal corresponding with its
Loudness differences between data block, ωZLFor the corresponding weight factor of loudness differences, ωZLValue range be 0.2~0.25 it
Between.
Preferably, when the first sound quality parameter and the rising tone quality parameter are speech articulation, institute is determined
The step of stating VER relative variation caused by sound quality parameter differences includes: to pass through formula:
Determine VER relative variation Δ VER caused by the speech articulation differenceAI,For n-th of first sound
VER caused by loudness differences between sound signal data block and its corresponding n-th of second sound signal data block is opposite to be changed
Amount；
Pass through formula:
It determinesΔAInFor n-th of first sound signal data blocks, n-th of second sound signal corresponding with its
Speech articulation difference between data block, ωAIFor the corresponding weight factor of speech articulation difference, ωAIValue range be
Between 0.03~0.09.
Preferably, it according to the VER relative variation, determines in analysis operating condition and causes the apparent feature of subjective feeling difference
The step of operating condition includes:
The VER of each second sound signal data block corresponding with its to each first sound signal data block is opposite to be changed
The absolute value of amount is respectively compared with the human ear of setting can not carry out size between resolution threshold；
Become if the VER of n-th of first sound signal data blocks, n-th of second sound signal data block corresponding with its is opposite
The absolute value of change amount is greater than the human ear can not resolution threshold, it is determined that n-th of first sound signal data blocks are corresponding to be started
Machine speed stage is to cause the apparent feature revolving speed segment limit of subjective feeling difference.
According to another aspect of the present invention, the present invention also provides a kind of automobile or the sound quality relative variations of engine
Evaluating apparatus, comprising:
Acquisition module, for respectively carrying out sample sound to the entity and target entity to be tested that run in the case where analyzing operating condition
Signal and tach signal acquisition, entity are automobile or engine；
Division module, for being believed the sample sound of the entity to be tested according to the tach signal of the entity to be tested
Number it is divided into multiple first sound signal data blocks；And according to the tach signal of the target entity by the target entity
Sample sound signal is divided into multiple second sound signal data blocks, corresponding first sound signal data in a revolving speed section
Block and a second sound signal data block；
First determining module, for determining each first sound according to multiple first sound signal data blocks
First sound quality parameter of signal data block；And according to multiple second sound signal data blocks, determine each described
The rising tone quality parameter of two sound signal data blocks；
Second determining module, for determining to be measured according to the first sound quality parameter and the rising tone quality parameter
Try the sound quality parameter differences between entity and target entity；
Third determining module, for determining VER relative variation caused by the sound quality parameter differences；
4th determining module, for determining in analysis operating condition and causing subjective feeling difference according to the VER relative variation
Apparent feature operating condition.
Preferably, division module includes:
First determination unit, for according to customized initial speed rpm0With incremental speed Δ rpm, each sound is determined
Central point N (the rpm of signal data blockn)mid；
Second determination unit, for the central point N (rpm according to each sound signal data blockn)mid, sample sound signal
Sample rate f s and customized parameters frequency resolution ratio df, pass through formula:
Determine the starting point N (rpm of each sound signal data blockn)1；N=1,2 ... nrpm, nrpmFor data block total number；
Third determination unit, for the central point N (rpm according to each sound signal data blockn)mid, sample sound signal
Sample rate f s and customized parameters frequency resolution ratio df, pass through formula:
Determine the stop N (rpm of each sound signal data blockn)end；N=1,2 ... nrpm, nrpmFor data block total number；
Division unit, for the starting point N (rpm by identified each sound signal data blockn)1With stop N
(rpmn)end, sample sound signal is divided into multiple sound signal data blocks.
Preferably, when the first sound quality parameter and the rising tone quality parameter are loudness, the second determining module
Include:
4th determination unit, for passing through formula:
Δ ZL=[Δ ZLn]T
Determine loudness differences the Δ ZL, Δ ZL between entity and target entity to be testednFor n-th of first voice signal numbers
According to the loudness differences between block and its corresponding n-th of second sound signal data block；
5th determination unit, for passing through formula:
Determine the sound between n-th of first sound signal data blocks and its corresponding n-th of second sound signal data block
Spend discrepancy delta ZLn,For the loudness of n-th of first sound signal data blocks,For n-th of second sound signal data
The loudness of block；WithIt is obtained by mode recorded in international standard ISO 532-1975.
Preferably, the second determining module includes:
6th determination unit, for passing through formula:
Δ AI=[Δ AIn]T
Determine speech articulation the discrepancy delta AI, Δ AI between entity and target entity to be testednFor n-th of first sound
Speech articulation difference between signal data block and its corresponding n-th of second sound signal data block；
7th determination unit, for passing through formula:
Determine Δ AIn, whereinFor the speech articulation of n-th of first sound signal data blocks,It is n-th
The speech articulation of second sound signal data block；WithBy recorded in American National Standard ANSI S3.5-1969
Mode obtains.
Preferably, when the first sound quality parameter and the rising tone quality parameter are loudness, third determining module
Include:
8th determination unit, for passing through formula:
Determine VER relative variation Δ VER caused by the loudness differencesZL,For n-th of first voice signals
VER relative variation caused by loudness differences between data block and its corresponding n-th of second sound signal data block；
9th determination unit, for passing through formula:
It determinesΔZLnFor n-th of first sound signal data blocks, n-th of second sound signal corresponding with its
Loudness differences between data block, ωZLFor the corresponding weight factor of loudness differences, ωZLValue range be 0.2~0.25 it
Between.
Preferably, when the first sound quality parameter and the rising tone quality parameter are speech articulation, third is true
Cover half block includes:
Tenth determination unit, for passing through formula:
Determine VER relative variation Δ VER caused by the speech articulation differenceAI,For n-th of first sound
VER caused by loudness differences between sound signal data block and its corresponding n-th of second sound signal data block is opposite to be changed
Amount；
11st determination unit, for passing through formula:
It determinesΔAInFor n-th of first sound signal data blocks, n-th of second sound signal corresponding with its
Speech articulation difference between data block, ωAIFor the corresponding weight factor of speech articulation difference, ωAIValue range be
Between 0.03~0.09.
Preferably, the 4th determining module includes:
Comparing unit is used for each second sound signal data block corresponding with its to each first sound signal data block
VER relative variation absolute value respectively compared with the human ear of setting can not carry out size between resolution threshold；
12nd determination unit, if being used for n-th of first sound signal data blocks, n-th of rising tone message corresponding with its
The absolute value of the VER relative variation of number block is greater than the human ear can not resolution threshold, it is determined that n-th of first sound letters
The corresponding engine speed section of number block is to cause the apparent feature revolving speed segment limit of subjective feeling difference.
According to another aspect of the present invention, the present invention also provides a kind of controllers, including memory, processor and storage
On the memory and the computer program that can run on the processor, the processor are read in the memory
Program is executed such as the step in above-mentioned method.
The invention has the benefit that
According to the present invention sound quality parameter differences can be converted to VER relative variation, and further compare itself and people
Ear can not the size relation of resolution threshold be to quickly recognize the apparent feature operating condition of subjective feeling difference or speed stage
Engine/vehicle product sound quality provides the evaluation index of parametrization to mark and exploitation.
Detailed description of the invention
Fig. 1 is the flow diagram of method of the invention；
Fig. 2 is the structure chart that sound signal data block is divided according to tach signal；
Fig. 3 is the evaluation result schematic diagram that the present invention is evaluated using loudness as sound quality parameter；
Fig. 4 is the evaluation result schematic diagram that the present invention is evaluated using speech articulation as sound quality parameter；
Fig. 5 is structural block diagram of the invention.
Specific embodiment
The exemplary embodiment that the present invention will be described in more detail below with reference to accompanying drawings.Although showing the present invention in attached drawing
Exemplary embodiment, it being understood, however, that may be realized in various forms the present invention without should be by embodiments set forth here
It is limited.It is to be able to thoroughly understand the present invention on the contrary, providing these embodiments, and can be by the scope of the present invention
It is fully disclosed to those skilled in the art.
Referring to Fig.1, the present invention provides the evaluation method of a kind of automobile or the sound quality relative variation of engine, packets
It includes:
Step 101, sample sound signal is respectively carried out to the entity and target entity to be tested that run in the case where analyzing operating condition
It is acquired with tach signal, entity is automobile or engine.
When carrying out sample sound signal acquisition, can be carried out on such as rural road of external interference very little, it will be to
It tests automobile and object vehicle to travel on smooth asphalt road with typical accelerating mode, records the noise by driver's auris dextra
Noise signal by signal and passenger's ears.It can also partly eliminate the noise jack horse test bed upper progress in such as engine, it will be to be tested
Engine and target engine are operated with typical accelerating mode, record each enveloping surface center in standard GB/T/T 1859.1
The noise signal of point.Every kind of operating condition records more than three times, under the premise of guaranteeing higher test consistency, obtains for subsequent
The sample sound signal of analysis.
Step 102, the sample sound signal of the entity to be tested is drawn according to the tach signal of the entity to be tested
It is divided into multiple first sound signal data blocks；And according to the tach signal of the target entity by the sound of the target entity
Sample signal is divided into multiple second sound signal data blocks, the corresponding first sound signal data block in a revolving speed section and
One second sound signal data block.
The principle for carrying out the division of sound signal data block is to be divided into tach signal according to the incremental speed of setting multiple
Revolving speed section, such as: the revolving speed interval range of collected engine rotational speed signal is 1000r/min to 5000r/min, setting
Incremental speed be 50r/min, the sample sound signal of entity to be tested can be then divided into 80 the first sound letter in this way
Number block.Sound signal data is carried out in the sample sound signal of sample sound signal and target entity to entity to be tested
When block divides, revolving speed interval division is carried out according to tach signal of the identical incremental speed to entity to be tested and to target reality
The tach signal of body carries out revolving speed interval division, in this way, can then obtain, the same revolving speed section corresponds to first sound
Signal data block and a second sound signal data block.
When dividing sound signal data block, it is thus necessary to determine that the starting point of each voice data block, stop, to determine the sound
The length of signal data block.Specifically, as shown in Fig. 2, the step includes: according to customized initial speed rpm0And revolving speed
Increment Delta rpm determines the central point N (rpm of each sound signal data blockn)mid；
According to the central point N (rpm of each sound signal data blockn)mid, sample sound signal sample rate f s and make by oneself
The parameters frequency resolution ratio df of justice, passes through formula:
Determine the starting point N (rpm of each sound signal data blockn)1；N=1,2 ... nrpm, nrpmFor data block total number；
According to the central point N (rpm of each sound signal data blockn)mid, sample sound signal sample rate f s and make by oneself
The parameters frequency resolution ratio df of justice, passes through formula:
Determine the stop N (rpm of each sound signal data blockn)end；N=1,2 ... nrpm, nrpmFor data block total number；
Pass through the starting point N (rpm of identified each sound signal data blockn)1With stop N (rpmn)end, by sample sound
Signal is divided into multiple sound signal data blocks.
After determining starting point, central point and the stop of a sound signal data block, that is, it can determine a voice signal number
According to the length of block.Pass through this sound signal data block division principle, it can draw the sample sound signal of entity to be tested
It is divided into multiple first sound signal data blocks and the sample sound signal of target entity is divided into multiple second sound samples
Signal data block.
Further, the sample sound signal matrix S based on the available entity to be tested of division resultAAnd target entity
Sample sound signal matrix SB。
Step 103, according to multiple first sound signal data blocks, each first sound signal data block is determined
The first sound quality parameter；And according to multiple second sound signal data blocks, determine each second sound signal
The rising tone quality parameter of data block.
For the sound quality parameter of the application comprising but it is not limited to loudness or speech articulation.Wherein, to sound
When degree is calculated, loudness is calculated according to documented mode in international standard ISO 532-1975, it is available
The loudness ZL of the sample sound signal of entity to be testedAAre as follows:
The loudness ZL of the sample sound signal of target entityBAre as follows:
Wherein,WithIt is obtained by mode recorded in international standard ISO 532-1975.
When calculating speech articulation, according to mode documented by American National Standard ANSI S3.5-1969 into
Row, which calculates, to be solved, the speech articulation AI of the sample sound signal of available entity to be testedAAre as follows:
The speech articulation AI of the sample sound signal of target entityBAre as follows:
Wherein,WithIt is obtained by mode recorded in American National Standard ANSI S3.5-1969.
Step 104, according to the first sound quality parameter and the rising tone quality parameter, entity and mesh to be tested are determined
Mark the sound quality parameter differences between entity.
Specifically, when sound quality parameter is loudness, loudness differences are identified with loudness change rate, that is, pass through public affairs
Formula:
Δ ZL=[Δ ZLn]T
Determine loudness differences the Δ ZL, [Δ ZL between entity and target entity to be testedn] it is n-th of first voice signals
Loudness differences between data block and its corresponding n-th of second sound signal data block；Pass through formula:
Determine the sound between n-th of first sound signal data blocks and its corresponding n-th of second sound signal data block
Quality parameter discrepancy delta ZLn,For the loudness of n-th of first sound signal data blocks,For n-th of rising tone message
The loudness of number block；WithIt is obtained by mode recorded in international standard ISO 532-1975.
When the first sound quality parameter and the rising tone quality parameter are speech articulation, speech articulation difference
It is indicated with speech articulation variable quantity, that is, passes through formula:
Δ AI=[Δ AIn]T
Determine speech articulation the discrepancy delta AI, Δ AI between entity and target entity to be testednFor n-th of first sound
Speech articulation difference between signal data block and its corresponding n-th of second sound signal data block；Pass through formula:
Determine Δ AIn, whereinFor the speech articulation of n-th of first sound signal data blocks,It is n-th
The speech articulation of second sound signal data block；WithBy recorded in American National Standard ANSI S3.5-1969
Mode obtains.
Step 105, determine VER relative variation caused by the sound quality parameter differences in the first sound quality parameter
With the rising tone quality parameter be loudness when, pass through formula:
Determine VER relative variation Δ VER caused by the loudness differencesZL,For n-th of first voice signals
VER relative variation caused by loudness differences between data block and its corresponding n-th of second sound signal data block；Pass through
Formula:
It determinesΔZLnFor n-th of first sound signal data blocks, n-th of second sound signal corresponding with its
Loudness differences between data block, ωZLFor the corresponding weight factor of loudness differences, ωZLValue range be 0.2~0.25 it
Between, optimally, the ωZLValue be 0.23.
When the first sound quality parameter and the rising tone quality parameter are speech articulation, pass through formula:
Determine VER relative variation Δ VER caused by the speech articulation differenceAI,For n-th of first sound
VER caused by loudness differences between sound signal data block and its corresponding n-th of second sound signal data block is opposite to be changed
Amount；
Pass through formula:
It determinesΔAInFor n-th of first sound signal data blocks, n-th of second sound signal corresponding with its
Speech articulation difference between data block, ωAIFor the corresponding weight factor of speech articulation difference, ωAIValue range be
Between 0.03~0.09, optimally, the ωAIValue be 0.06.
Step 106, it according to the VER relative variation, determines in analysis operating condition and causes subjective feeling difference significantly special
Levy operating condition.
Wherein, which includes:
Step 1061, corresponding with its to each first sound signal data block each second sound signal data block
The absolute value of VER relative variation is respectively compared with the human ear of setting can not carry out size between resolution threshold；
Step 1062, if n-th of first sound signal data blocks n-th of second sound signal data block corresponding with its
The absolute value of VER relative variation is greater than the human ear can not resolution threshold, it is determined that n-th of first sound signal data blocks pair
The engine speed section answered is to cause the apparent feature revolving speed segment limit of subjective feeling difference.
It is opposite in the VER to n-th of first sound signal data blocks, n-th of second sound signal data block corresponding with its
The absolute value of variable quantity and human ear can not resolution threshold when being compared, ifThen human ear sense
Know unobvious；Conversely, ifThen auditory perceptual is obvious, at this point, will n-th of first sound
The corresponding engine speed section of sound signal data block is to cause the apparent feature revolving speed segment limit of subjective feeling difference.For example, such as
It is the loudness relative variation evaluation result of engine bench test C engine type and D engine model shown in Fig. 3, analysis operating condition is
100% load accelerating mode.What the loudness differences through analysis C engine type and D engine model can obviously be perceived by human ear
The range of speeds is 1000-1900rpm, which is step 106 after comparison, identified whole feature revolving speed model
It encloses.
For another example Fig. 4 show the speech articulation relative variation evaluation result of rotating hub test E vehicle and F vehicle, point
Analysing operating condition is 2 gear WOT accelerating modes.What the speech articulation difference through analysis E vehicle and F vehicle can obviously be perceived by human ear turns
Fast range is 3700-4550rpm, which is step 106 after comparison, identified whole feature revolving speed model
It encloses.
Method of the invention, it is possible to convert VER relative variation for sound quality parameter differences, and further compare its with
Human ear can not resolution threshold size relation, to quickly recognize the apparent feature operating condition of subjective feeling difference or speed stage,
The evaluation index of parametrization is provided to mark and exploitation for engine/vehicle product sound quality.
Referring to Fig. 5, according to another aspect of the present invention, the present invention also provides the sound quality phases of a kind of automobile or engine
To the evaluating apparatus of variable quantity, comprising:
Acquisition module 201, for respectively carrying out sound to the entity and target entity to be tested that run in the case where analyzing operating condition
Sample signal and tach signal acquisition, entity are automobile or engine；
Division module 202, for according to the tach signal of the entity to be tested by the sound sample of the entity to be tested
This signal is divided into multiple first sound signal data blocks；And it is according to the tach signal of the target entity that the target is real
The sample sound signal of body is divided into multiple second sound signal data blocks, corresponding first voice signal in a revolving speed section
Data block and a second sound signal data block；
First determining module 203, for determining each first sound according to multiple first sound signal data blocks
First sound quality parameter of sound signal data block；And it according to multiple second sound signal data blocks, determines each described
The rising tone quality parameter of second sound signal data block；
Second determining module 204, for according to the first sound quality parameter and the rising tone quality parameter, determine to
Test the sound quality parameter differences between entity and target entity；
Third determining module 205, for determining VER relative variation caused by the sound quality parameter differences；
4th determining module 206, for determining in analysis operating condition and causing subjective feeling according to the VER relative variation
The apparent feature operating condition of difference.
Preferably, division module 202 includes:
First determination unit 2021, for according to customized initial speed rpm0With incremental speed Δ rpm, determine each
Central point N (the rpm of sound signal data blockn)mid；
Second determination unit 2022, for the central point N (rpm according to each sound signal data blockn)mid, sample sound
The sample rate f s of signal and customized parameters frequency resolution ratio df, passes through formula:
Determine the starting point N (rpm of each sound signal data blockn)1；N=1,2 ... nrpm, nrpmFor data block total number；
Third determination unit 2023, for the central point N (rpm according to each sound signal data blockn)mid, sample sound
The sample rate f s of signal and customized parameters frequency resolution ratio df, passes through formula:
Determine the stop N (rpm of each sound signal data blockn)end；N=1,2 ... nrpm, nrpmFor data block total number；
Division unit 2024, for the starting point N (rpm by identified each sound signal data blockn)1With stop N
(rpmn)end, sample sound signal is divided into multiple sound signal data blocks.
Preferably, when the first sound quality parameter and the rising tone quality parameter are loudness, the second determining module
204 include:
4th determination unit 2041, for passing through formula:
Δ ZL=[Δ ZLn]T
Determine loudness differences the Δ ZL, Δ ZL between entity and target entity to be testednFor n-th of first voice signal numbers
According to the loudness differences between block and its corresponding n-th of second sound signal data block；
5th determination unit 2042, for passing through formula:
Determine the sound between n-th of first sound signal data blocks and its corresponding n-th of second sound signal data block
Spend discrepancy delta ZLn,For the loudness of n-th of first sound signal data blocks,For n-th of second sound signal data
The loudness of block；WithIt is obtained by mode recorded in international standard ISO 532-1975.
Preferably, the second determining module 204 includes:
6th determination unit 2043, for passing through formula:
Δ AI=[Δ AIn]T
Determine speech articulation the discrepancy delta AI, Δ AI between entity and target entity to be testednFor n-th of first sound
Speech articulation difference between signal data block and its corresponding n-th of second sound signal data block；
7th determination unit 5044, for passing through formula:
Determine Δ AIn, whereinFor the speech articulation of n-th of first sound signal data blocks,It is n-th
The speech articulation of second sound signal data block；WithBy recorded in American National Standard ANSI S3.5-1969
Mode obtains.
Preferably, when the first sound quality parameter and the rising tone quality parameter are loudness, third determining module
205 include:
8th determination unit 2051, for passing through formula:
Determine VER relative variation Δ VER caused by the loudness differencesZL,For n-th of first voice signals
VER relative variation caused by loudness differences between data block and its corresponding n-th of second sound signal data block；
9th determination unit 2052, for passing through formula:
It determinesΔZLnFor n-th of first sound signal data blocks, n-th of second sound signal corresponding with its
Loudness differences between data block, ωZLFor the corresponding weight factor of loudness differences, ωZLValue range be 0.2~0.25 it
Between.
Preferably, when the first sound quality parameter and the rising tone quality parameter are speech articulation, third is true
Cover half block 205 includes:
Tenth determination unit 2053, for passing through formula:
Determine VER relative variation Δ VER caused by the speech articulation differenceAI,For n-th of first sound
VER caused by loudness differences between sound signal data block and its corresponding n-th of second sound signal data block is opposite to be changed
Amount；
11st determination unit 2054, for passing through formula:
It determinesΔAInFor n-th of first sound signal data blocks, n-th of second sound signal corresponding with its
Speech articulation difference between data block, ωAIFor the corresponding weight factor of speech articulation difference, ωAIValue range be
Between 0.03~0.09.
Preferably, the 4th determining module 206 includes:
Comparing unit 2061 is used for each second sound signal number corresponding with its to each first sound signal data block
According to block VER relative variation absolute value respectively compared with the human ear of setting can not carry out size between resolution threshold；
12nd determination unit 2062, if being used for n-th of first sound signal data blocks, n-th of rising tone corresponding with its
The absolute value of the VER relative variation of sound signal data block is greater than the human ear can not resolution threshold, it is determined that n-th of first sound
The corresponding engine speed section of sound signal data block is to cause the apparent feature revolving speed segment limit of subjective feeling difference.
The device of the invention can convert sound quality parameter differences to VER relative variation, and further compare its with
Human ear can not resolution threshold size relation, to quickly recognize the apparent feature operating condition of subjective feeling difference or speed stage,
The evaluation index of parametrization is provided to mark and exploitation for engine/vehicle product sound quality.
According to another aspect of the present invention, the present invention also provides a kind of controllers, including memory, processor and storage
On the memory and the computer program that can run on the processor, the processor are read in the memory
Program is executed such as the step in above-mentioned method.
Claims (9)
1. a kind of evaluation method of the sound quality relative variation of automobile or engine characterized by comprising
Sample sound signal respectively is carried out to the entity and target entity to be tested that run in the case where analyzing operating condition and tach signal is adopted
Collection, entity are engine or automobile；
The sample sound signal of the entity to be tested is divided into multiple first according to the tach signal of the entity to be tested
Sound signal data block；And the sample sound signal of the target entity is divided according to the tach signal of the target entity
For multiple second sound signal data blocks, a corresponding first sound signal data block in revolving speed section and a second sound
Signal data block；
According to multiple first sound signal data blocks, the first sound quality of each first sound signal data block is determined
Parameter；And according to multiple second sound signal data blocks, determine the second of each second sound signal data block
Sound quality parameter；
According to the first sound quality parameter and the rising tone quality parameter, determine between entity and target entity to be tested
Sound quality parameter differences；
Determine VER relative variation caused by the sound quality parameter differences；
According to the VER relative variation, determines in analysis operating condition and cause the apparent feature operating condition of subjective feeling difference.
2. evaluation method according to claim 1, which is characterized in that according to the tach signal of the entity to be tested by institute
The sample sound signal for stating entity to be tested is divided into multiple first sound signal data blocks and is turned according to the target entity
The step of sample sound signal of the target entity is divided into multiple second sound signal data blocks by fast signal include:
According to customized initial speed rpm0With incremental speed Δ rpm, the central point N of each sound signal data block is determined
(rpmn)mid；
According to the central point N (rpm of each sound signal data blockn)mid, sample sound signal sample rate f s and customized ginseng
Number frequency resolution df, passes through formula:
Determine the starting point N (rpm of each sound signal data blockn)1；N=1,2 ... nrpm, nrpmFor data block total number；
According to the central point N (rpm of each sound signal data blockn)mid, sample sound signal sample rate f s and customized ginseng
Number frequency resolution df, passes through formula:
Determine the stop N (rpm of each sound signal data blockn)end；N=1,2 ... nrpm, nrpmFor data block total number；
Pass through the starting point N (rpm of identified each sound signal data blockn)1With stop N (rpmn)end, by sample sound signal
It is divided into multiple sound signal data blocks.
3. evaluation method according to claim 1, which is characterized in that in the first sound quality parameter and the rising tone
When quality parameter is loudness, according to the first sound quality parameter and the rising tone quality parameter, determine entity to be tested and
The step of sound quality parameter differences between target entity includes: to pass through formula:
Δ ZL=[Δ ZLn]T
Determine loudness differences the Δ ZL, Δ ZL between entity and target entity to be testednFor n-th of first sound signal data blocks
Loudness differences between its corresponding n-th of second sound signal data block；Pass through formula:
Determine that the loudness between n-th of first sound signal data blocks and its corresponding n-th of second sound signal data block is poor
Different Δ ZLn,For the loudness of n-th of first sound signal data blocks,For the sound of n-th of second sound signal data block
Degree；WithIt is obtained by mode recorded in international standard ISO 532-1975.
4. evaluation method according to claim 1, which is characterized in that in the first sound quality parameter and the rising tone
When quality parameter is speech articulation, according to the first sound quality parameter and the rising tone quality parameter, determine to be tested
The step of sound quality parameter differences between entity and target entity includes: to pass through formula:
Δ AI=[Δ AIn]T
Determine speech articulation the discrepancy delta AI, Δ AI between entity and target entity to be testednFor n-th of first voice signals
Speech articulation difference between data block and its corresponding n-th of second sound signal data block；Pass through formula:
Determine Δ AIn, whereinFor the speech articulation of n-th of first sound signal data blocks,For n-th of rising tone
The speech articulation of sound signal data block；WithIt is obtained by mode recorded in American National Standard ANSI S3.5-1969
It takes.
5. evaluation method according to claim 3, which is characterized in that in the first sound quality parameter and the rising tone
When quality parameter is loudness, the step of determining VER relative variation caused by the sound quality parameter differences, includes:
Pass through formula:
Determine VER relative variation Δ VER caused by the loudness differencesZL,For n-th of first sound signal datas
VER relative variation caused by loudness differences between block and its corresponding n-th of second sound signal data block；Pass through public affairs
Formula:
It determinesΔZLnFor n-th of first sound signal data blocks, n-th of second sound signal data corresponding with its
Loudness differences between block, ωZLFor the corresponding weight factor of loudness differences, ωZLValue range be 0.2~0.25 between.
6. evaluation method according to claim 4, which is characterized in that in the first sound quality parameter and the rising tone
When quality parameter is speech articulation, the step of determining VER relative variation caused by the sound quality parameter differences includes: logical
Cross formula:
Determine VER relative variation Δ VER caused by the speech articulation differenceAI,Believe for n-th of first sound
VER relative variation caused by loudness differences between number block and its corresponding n-th of second sound signal data block；
Pass through formula:
It determinesΔAInFor n-th of first sound signal data blocks, n-th of second sound signal data corresponding with its
Speech articulation difference between block, ωAIFor the corresponding weight factor of speech articulation difference, ωAIValue range be 0.03
Between~0.09.
7. evaluation method according to claim 1, which is characterized in that according to the VER relative variation, determine analysis work
The step of causing the apparent feature operating condition of subjective feeling difference in condition include:
The VER relative variation of each second sound signal data block corresponding with its to each first sound signal data block
Absolute value is respectively compared with the human ear of setting can not carry out size between resolution threshold；
If the VER relative variation of n-th of first sound signal data blocks, n-th of second sound signal data block corresponding with its
Absolute value be greater than the human ear can not resolution threshold, it is determined that the corresponding engine of n-th of first sound signal data blocks turns
Fast section is to cause the apparent feature revolving speed segment limit of subjective feeling difference.
8. a kind of evaluating apparatus of the sound quality relative variation of automobile or engine characterized by comprising
Acquisition module, for respectively carrying out sample sound signal to the entity and target entity to be tested that run in the case where analyzing operating condition
It is acquired with tach signal；
Division module, for being drawn the sample sound signal of the entity to be tested according to the tach signal of the entity to be tested
It is divided into multiple first sound signal data blocks；And according to the tach signal of the target entity by the sound of the target entity
Sample signal is divided into multiple second sound signal data blocks, the corresponding first sound signal data block in a revolving speed section and
One second sound signal data block；
First determining module, for determining each first voice signal according to multiple first sound signal data blocks
First sound quality parameter of data block；And according to multiple second sound signal data blocks, determine each rising tone
The rising tone quality parameter of sound signal data block；
Second determining module, for determining reality to be tested according to the first sound quality parameter and the rising tone quality parameter
Sound quality parameter differences between body and target entity；
Third determining module, for determining VER relative variation caused by the sound quality parameter differences；
4th determining module, for determining in analysis operating condition and causing subjective feeling difference obvious according to the VER relative variation
Feature operating condition.
9. a kind of controller, including memory, processor and it is stored on the memory and can runs on the processor
Computer program, which is characterized in that the processor reads the program in the memory, executes such as claim 1 to 7 times
Step in one the method.
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