CN114520007A - Method for correcting limit value of objective sound quality evaluation parameter of pure tone - Google Patents

Method for correcting limit value of objective sound quality evaluation parameter of pure tone Download PDF

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Publication number
CN114520007A
CN114520007A CN202210417863.3A CN202210417863A CN114520007A CN 114520007 A CN114520007 A CN 114520007A CN 202210417863 A CN202210417863 A CN 202210417863A CN 114520007 A CN114520007 A CN 114520007A
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sound
pure tone
samples
pure
objective evaluation
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林杰威
张瑞
张俊红
周启迪
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Tianjin University
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Tianjin University
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    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L25/00Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
    • G10L25/48Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use
    • G10L25/51Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/60Information retrieval; Database structures therefor; File system structures therefor of audio data
    • G06F16/61Indexing; Data structures therefor; Storage structures
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/60Information retrieval; Database structures therefor; File system structures therefor of audio data
    • G06F16/68Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/683Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L21/00Speech or voice signal processing techniques to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
    • G10L21/02Speech enhancement, e.g. noise reduction or echo cancellation
    • G10L21/0208Noise filtering
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L25/00Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
    • G10L25/48Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use
    • G10L25/51Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination
    • G10L25/60Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination for measuring the quality of voice signals

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Human Computer Interaction (AREA)
  • Acoustics & Sound (AREA)
  • Audiology, Speech & Language Pathology (AREA)
  • Signal Processing (AREA)
  • Computational Linguistics (AREA)
  • Quality & Reliability (AREA)
  • Data Mining & Analysis (AREA)
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  • Databases & Information Systems (AREA)
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  • Software Systems (AREA)
  • Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)

Abstract

The invention discloses a pure tone sound quality objective evaluation parameter limit value correcting method, which belongs to the technical field of sound quality correction, and comprises the steps of S1, establishing a finished automobile sound sample database, collecting multi-working-condition multi-state noise samples of various new energy automobile types, shearing and preprocessing the collected sound samples, and establishing the finished automobile sound sample database; and S2, determining a research object, performing a semantic subdivision method experiment based on samples in the finished automobile sound sample database, and screening out sound samples with pure abnormal sound as the research object. In the invention, a new energy vehicle is oriented, a class of evaluation indexes are provided for medium-high frequency pure sound introduced by a permanent magnet motor to replace traditional objective parameters, and in addition, the limit values of the class of indexes are corrected, so that the subjective feeling of people is better fitted on the basis of sound quality. The invention also considers different working conditions and states of a plurality of vehicles during driving, and the obtained limit value is more generalized, thereby providing guidance for the product design of the whole vehicle factory.

Description

Method for correcting limit value of objective sound quality evaluation parameter of pure tone
Technical Field
The invention belongs to the technical field of sound quality correction, and particularly relates to a method for correcting a limit value of an objective sound quality evaluation parameter of pure sound.
Background
The traditional a-weighted sound pressure level is not enough to represent the comprehensive auditory perception of passengers, and the sound quality has been widely applied to the subjective evaluation and the objective evaluation of sound. Electric vehicles and hybrid electric vehicles are replacing traditional internal combustion engine vehicles, the use of an electric drive system greatly reduces the A weighting sound pressure level in the vehicles, but simultaneously generates middle-high frequency pure sound, so that the traditional sound quality objective evaluation parameters cannot comprehensively evaluate the sound quality of new energy vehicles. In ECMA-74:2012, the pure tone ratio and the saliency ratio are objective evaluation parameters for describing the pure tone. However, these two objective evaluation parameters are more concerned about whether pure tones are prominent, but whether prominent sounds can irritate passengers, which is not linked to subjective feelings of people. Therefore, on the premise of considering the differences of sound samples of different vehicle types, different working conditions and different modes, the method for correcting the limit value of the objective evaluation parameter of the sound quality of the pure sound is provided.
Disclosure of Invention
The invention aims to: in order to solve the problem that pure tone ratio and prominent pure tone are more concerned than the two objective evaluation parameters, whether the pure tone is prominent or not is considered, but whether the prominent sound can irritate passengers or not is not connected with subjective feeling of people. Therefore, on the premise of considering the differences of sound samples of different vehicle types, different working conditions and different modes, the method for correcting the limit value of the objective evaluation parameter of the sound quality of the pure tone is provided, and the method for correcting the limit value of the objective evaluation parameter of the sound quality of the pure tone is provided.
In order to achieve the purpose, the invention adopts the following technical scheme:
a method for correcting limit values of objective evaluation parameters of sound quality of pure tones comprises the following operation steps:
s1, establishing a finished automobile sound sample database, collecting multi-working-condition and multi-state noise samples of multiple new energy automobile types, cutting and preprocessing the collected sound samples, and establishing the finished automobile sound sample database;
s2, determining a research object, performing a semantic subdivision method experiment based on samples in the finished automobile sound sample database, and screening out sound samples with pure abnormal sound as the research object;
s3, determining objective evaluation parameters: screening a proper objective evaluation parameter according to the characteristic of the critical frequency band where the pure tone of the research object is located;
and S4, correcting and selecting objective evaluation parameter limit values, synthesizing the processed sound samples with critical band center frequency pure tones within 3500Hz by using acoustic software, and performing subjective evaluation experiments from two dimensions of audibility and dysphoria to obtain the objective evaluation parameter limit values meeting the conditions.
As a further description of the above technical solution:
in the step S1, comprehensively considering the types of vehicles in the market, collecting the cab noise of a plurality of brands of new energy vehicles according to ISO 5128-; the different working conditions comprise idling, constant speed of 40-90km/h and full accelerator acceleration, and the different modes comprise opening an air conditioner, opening a window and closing the window to close the air conditioner.
As a further description of the above technical solution:
and (4) the investigation result shows that the optimal sound sample length of the subjective evaluation experiment is 5s, the collected sound samples are screened, the LMS is used for editing to obtain the final sound sample, and the finished automobile sound sample database is established.
As a further description of the above technical solution:
and S2 and S3, performing a semantic subdivision method experiment based on the samples in the finished automobile sound sample database obtained in the step S1, and screening out sound samples with pure abnormal sound as a research object.
As a further description of the above technical solution:
in ECMA-74:2012, the pure tone ratio and the prominence ratio are objective evaluation parameters for describing the prominence of the pure tone, and the difference between the pure tone ratio and the prominence ratio is mainly that one or more pure tones exist in a critical frequency band where the pure tone exists, the objective evaluation parameters of the sound sample are calculated through the LMS, and appropriate objective evaluation parameters are further screened out according to the characteristics of the research object.
As a further description of the above technical solution:
in step S4, in order to ensure that the pure sound in the sound sample screened in steps S2 and S3 does not interfere with the determination, a band elimination filter is added to filter out the pure sound to obtain background noise, the maximum noise frequency in the cab does not exceed 3500Hz, the critical frequency band center frequency is taken as a reference, and the pure sound with the above center frequency and the background noise are synthesized by using acoustic software.
As a further description of the above technical solution:
referring to ECMA-74:2012, the salient value of the objective parameter value is selected by changing the energy control of pure tones and is set as an upper boundary, subjective preference is taken as a target, and subjective evaluation experiments are carried out again from two dimensions of audibility and dysphoria to obtain the objective evaluation parameter limit value meeting the conditions.
In summary, due to the adoption of the technical scheme, the invention has the beneficial effects that:
in the invention, a new energy vehicle is oriented, a class of evaluation indexes are provided for medium-high frequency pure sound introduced by a permanent magnet motor to replace traditional objective parameters, and in addition, the limit values of the class of indexes are corrected, so that the subjective feeling of people is better fitted on the basis of sound quality. The invention also considers different working conditions and states of a plurality of vehicles during driving, and the obtained limit value is more generalized, thereby providing guidance for the product design of the whole vehicle factory.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. 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 invention provides a technical scheme that: a method for correcting limit values of objective evaluation parameters of sound quality of pure tones comprises the following operation steps:
s1, establishing a finished automobile sound sample database, collecting multi-working-condition and multi-state noise samples of multiple new energy automobile types, cutting and preprocessing the collected sound samples, and establishing the finished automobile sound sample database;
the specific implementation mode is as follows: comprehensively considering the types of vehicles in the market, according to ISO 5128-; the different working conditions comprise idling, constant speed of 40-90km/h and full accelerator acceleration, the different modes comprise opening an air conditioner, opening a window and closing the window to close the air conditioner, the investigation result shows that the optimal sound sample length of the subjective evaluation experiment is 5s, the collected sound samples are screened, the final sound sample is obtained by using LMS editing, and a finished automobile sound sample database is established.
S2, determining a research object, performing a semantic subdivision method experiment based on samples in the finished automobile sound sample database, and screening out sound samples with pure abnormal sound as the research object;
s3, determining objective evaluation parameters: screening a proper objective evaluation parameter according to the characteristic of the critical frequency band where the pure tone of the research object is located;
the specific implementation mode is as follows: performing a semantic subdivision experiment based on the samples in the finished automobile sound sample database obtained in the step S1, screening out sound samples with pure tone abnormal sound as a research object, in the ECMA-74:2012, a pure tone ratio and a prominence ratio are objective evaluation parameters for describing the prominence of the pure tone, the difference between the pure tone ratio and the prominence ratio is mainly that one or more pure tones exist in a critical frequency band where the pure tone exists, calculating the objective evaluation parameters of the sound samples through the LMS, and further screening out appropriate objective evaluation parameters according to the characteristics of the research object.
S4, selecting objective evaluation parameter limit values, synthesizing the processed sound samples with critical band center frequency pure tones within 3500Hz by using acoustic software, and carrying out subjective evaluation experiments from two dimensions of audibility and dysphoria to obtain the objective evaluation parameter limit values meeting the conditions;
the specific implementation mode is as follows: for the sound samples screened in the steps S2 and S3, in order to ensure that pure tones in the sound samples cannot interfere judgment, a band elimination filter is added to filter out the pure tones to obtain background noise, the maximum noise frequency in a cab does not exceed 3500Hz, the central frequency of a critical frequency band is taken as a reference, the pure tones with the central frequency and the background noise are synthesized by acoustic software, the ECMA-74:2012 is referred, the salient value of an objective parameter value is selected by changing the energy control of the pure tones to be set as an upper boundary, the subjective preference degree is taken as a target, and subjective evaluation experiments are carried out again from two dimensionalities of audibility and dysphoria to obtain the objective evaluation parameter limit value meeting the condition.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.

Claims (7)

1. A method for correcting limit values of objective evaluation parameters of sound quality of pure tones is characterized by comprising the following steps:
s1, establishing a finished automobile sound sample database, collecting multi-working-condition multi-state noise samples of various new energy automobile types, shearing and preprocessing the collected sound samples, and establishing the finished automobile sound sample database;
s2, determining a research object, performing a semantic subdivision method experiment based on samples in the finished automobile sound sample database, and screening out sound samples with pure abnormal sound as the research object;
s3, determining objective evaluation parameters: screening objective evaluation parameters according to the characteristics of the critical frequency band where the pure tone of the research object is located;
and S4, correcting and selecting objective evaluation parameter limit values, synthesizing the processed sound samples with critical band center frequency pure tones within 3500Hz by using acoustic software, and performing subjective evaluation experiments from two dimensions of audibility and dysphoria to obtain the objective evaluation parameter limit values meeting the conditions.
2. The method for correcting the limit value of the objective evaluation parameter of sound quality with respect to pure tone as claimed in claim 1, wherein in the step S1, the types of vehicles on the market are considered comprehensively, and the noise of the driver' S cab of a plurality of brands of new energy vehicles is collected according to ISO 5128-; the different working conditions comprise idling, uniform speed of 40-90km/h and full accelerator acceleration, and the different modes comprise opening an air conditioner, opening a window and closing the window to close the air conditioner.
3. The method of claim 2, wherein the investigation result shows that the optimal sound sample length for the subjective evaluation test is 5s, the collected sound samples are screened, the LMS clip is used to obtain the final sound sample, and a finished vehicle sound sample database is established.
4. The method for correcting the limit value of the objective evaluation parameter related to the pure tone sound quality of claim 1, wherein the step S2 and the step S3 are performed by performing a semantic subdivision method experiment based on the samples in the entire vehicle sound sample database obtained in the step S1, and selecting the sound samples with the abnormal sound of the pure tone as a research object.
5. The method for correcting the limit value of the objective evaluation parameter of pure tone according to claim 4, wherein in ECMA-74:2012, the pure tone ratio and the prominence ratio are objective evaluation parameters for describing the prominence of the pure tone, and the difference between the pure tone ratio and the prominence ratio is whether one or more pure tones exist in the critical frequency band where the pure tone exists, the objective evaluation parameters of the sound sample are calculated through the LMS, and the objective evaluation parameters are further selected according to the characteristics of the research object.
6. The method for correcting the limit value of the objective evaluation parameter for the sound quality of the pure tone according to claim 1, wherein in the step S4, for the sound samples screened in the steps S2 and S3, in order to ensure that the pure tone in the sound samples will not interfere with the judgment, a band elimination filter is added to filter out the pure tone to obtain the background noise, the maximum noise frequency in the cab does not exceed 3500Hz, the central frequency of the critical band is taken as a reference, and the pure tone with the above central frequency and the background noise are synthesized by using acoustic software.
7. The method for correcting the limit value of the objective evaluation parameter related to the sound quality of the pure tone according to claim 6, wherein referring to ECMA-74:2012, the salient value of the objective parameter value selected by changing the energy control of the pure tone is set as an upper boundary, and the subjective evaluation experiment is performed again from two dimensions of audibility and dysphoria with the objective preference as a target to obtain the limit value of the objective evaluation parameter satisfying the condition.
CN202210417863.3A 2022-04-21 2022-04-21 Method for correcting limit value of objective sound quality evaluation parameter of pure tone Pending CN114520007A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116429245A (en) * 2023-06-13 2023-07-14 江铃汽车股份有限公司 Method and system for testing noise of wiper motor

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CN110737970A (en) * 2019-09-24 2020-01-31 天津大学 engine acceleration sound quality evaluation method

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JPH10253442A (en) * 1997-03-06 1998-09-25 Fuji Xerox Co Ltd Device and method for evaluating sound quality
CN103471709A (en) * 2013-09-17 2013-12-25 吉林大学 Method for predicting noise quality of noise inside passenger vehicle
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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116429245A (en) * 2023-06-13 2023-07-14 江铃汽车股份有限公司 Method and system for testing noise of wiper motor
CN116429245B (en) * 2023-06-13 2023-09-01 江铃汽车股份有限公司 Method and system for testing noise of wiper motor

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