In-vehicle method and system based on multi-level music information, and related device

Abstract

An in-vehicle control method and system based on multi-level music information, a computer device, and a readable storage medium. The method comprises the following steps: obtaining a music signal (S101); analyzing the music signal, and extracting, from the music signal, music analysis content comprising basic features, change points, beat points, a music structure, music attributes, and a music style (S102); and on the basis of the music analysis content, generating a control signal according to a preset generation rule template, and transmitting the control signal to an in-vehicle system to achieve vibration and lighting control (S103). According to the method, on the basis of multi-level music information, control signals for seat vibration and lighting rhythms in the in-vehicle system that better match musical characteristics are generated, thereby providing users with a more immersive in-vehicle audio experience.

Description

Vehicle-mounted method, system and related equipment based on multi-level music information Technical Field

[0001] The present invention relates to a signal processing method, and in particular to a vehicle-mounted control method, system and related equipment based on multi-level music information. Background Art

[0002] With the continuous development of in-vehicle technology and the increasing demand of users for in-car audio experience, multimodal audio technology that combines music information to vibrate seats and rhythmic lighting is becoming more and more mature. Music information extraction technology is one of the key technologies for realizing the combination of music information for seat and lighting control. This technology can extract various useful information from music through audio signal processing and feature extraction methods, such as rhythm, melody, attributes, emotions, etc. This information can be further used to control changes in seats and lights. Furthermore, seat and lighting control technology is another key technology for realizing the combination of music information for seat and lighting changes. At present, many vehicles already have seat and lighting control functions, which can create a more immersive audio experience by adjusting the vibration frequency, intensity and direction of the seat, as well as the brightness and color of the lights. Technical issues

[0003] Most of the existing car lighting rhythm and seat vibration systems based on music information are based on basic characteristics such as music energy, rhythm and timbre to control the frequency and intensity of vibration and the brightness and color of lights.

[0004] However, although existing in-car systems can enrich the in-car audio experience to a certain extent, due to the lack of more comprehensive analysis of music signals, the signals for controlling seats and lights are relatively simple, and the final experience is relatively simple. In addition, existing solutions generally control seats and lights separately without further combining the two, which makes the user experience inconsistent.

[0005] Therefore, it is necessary to provide a new vehicle-mounted control method to solve the above problems. Technical Solutions

[0006] The technical problem to be solved by the present invention is to provide a vehicle-mounted control method, system and related equipment based on multi-level music information, in which vibration and lighting control effects are more in line with music characteristics.

[0007] To solve the above technical problems, in a first aspect, the present invention provides a vehicle-mounted control method based on multi-level music information, the vehicle-mounted control method comprising the following steps:

[0008] Get music signal;

[0009] Analyzing the music signal to extract music analysis content including basic features, change points, beat points, music structure, music attributes and music style from the music signal;

[0010] Based on the music analysis content, a control signal is generated according to a preset generation rule template, and the control signal is transmitted to the vehicle system to achieve vibration and light control.

[0011] Preferably, the step of extracting the basic features from the music signal is specifically as follows:

[0012] The music signal is framed to obtain multiple music frames, and the preset basic features collected in each music frame are analyzed and marked, and the basic features extracted from the i-th music frame are defined as , which satisfies:

[0013] ;

[0014] M represents the number of types of the preset basic features to be collected;

[0015] The number of music frames in the music signal is defined as Nf, and the set F of all basic features satisfies:

[0016] .

[0017] Preferably, the step of extracting the change point from the music signal is specifically as follows:

[0018] Whether the current music frame contains the change point is determined based on the energy change degree of the frames before and after the current music frame in the time domain or frequency domain. If so, the change point is extracted from the music frame, and the number of change points in the music signal is defined as No. The set O of all the change points satisfies:

[0019] .

[0020] Preferably, the step of extracting the beat point from the music signal is specifically as follows:

[0021] Based on a preset neural network, the music signal is beat tracked and the beats and beats are marked. The number of beats in the music signal is defined as Nb, and the number of beats is defined as Nd. The set B of all the beats satisfies:

[0022] ;

[0023] The set D of all said retakes satisfies:

[0024] .

[0025] Preferably, the step of extracting the music structure from the music signal is specifically as follows:

[0026] According to the structural information of the music signal, the music signal is segmented to obtain multiple music segments, and the i-th music segment in the music signal is defined as , which satisfies:

[0027] ;

[0028] in, 、 Respectively indicate that the music segment is The total number of music segments is Ns, and the set S of all music segments satisfies:

[0029] ;

[0030] The type of the i-th music segment is defined as ki, and the segment type information K of the music signal satisfies:

[0031] .

[0032] Preferably, the step of extracting the music attribute from the music signal is specifically as follows:

[0033] The music signal is segmented to obtain a plurality of music measures, and the rhythm attribute strength is calculated according to the number of notes played in each music measure, and the i-th music measure in the music signal is defined as , which satisfies:

[0034] ;

[0035] The total number of the music measures is Nr, and the set R of all the music measures satisfies:

[0036] ;

[0037] The rhythm attribute strength of the i-th music measure is defined as mi, and the rhythm attribute strength information M of the music signal satisfies:

[0038] .

[0039] Preferably, the step of generating a control signal according to a preset generation rule template based on the music analysis content includes the following sub-steps:

[0040] Define C as the music style of the music signal, based on the set of the music bar, the rhythm attribute strength information, the music paragraph, the paragraph type information and the music style Generate the preset generation rule template;

[0041] According to the respective sets of the change point, the beat, and the beat , generating a time point control signal T for vibration control according to the preset generation rule template;

[0042] Generate a vector control signal P for lighting control according to the set F of basic features and the time point control signal and the preset generation rule template;

[0043] The time point control signal T and the vector control signal P are both used as the control signal and output.

[0044] In a second aspect, the present invention further provides a vehicle-mounted control system based on multi-level music information, comprising:

[0045] A data acquisition module, used for acquiring music signals;

[0046] A multi-level music analysis module is used to analyze the music signal and extract music analysis content including basic features, change points, beat points, music structure, music attributes and music style from the music signal;

[0047] The control module is used to generate a control signal according to the music analysis content and a preset generation rule template, and transmit the control signal to the vehicle system to achieve vibration and light control.

[0048] In the third aspect, the present invention also provides a computer device, comprising: a memory, a processor, and an in-vehicle control program based on multi-level music information stored on the memory and runnable on the processor. When the processor executes the in-vehicle control program based on multi-level music information, it implements the steps of the in-vehicle control method based on multi-level music information as described in any one of the above items.

[0049] In a fourth aspect, the present invention also provides a computer-readable storage medium, on which is stored a vehicle-mounted control program based on multi-level music information. When the vehicle-mounted control program based on multi-level music information is executed by a processor, the steps of the vehicle-mounted control method based on multi-level music information as described in any one of the above items are implemented. Beneficial effects

[0050] Compared to related technologies, the present invention's in-vehicle control method based on multi-level music information includes the following steps: acquiring a music signal; analyzing the music signal to extract music analysis content from the music signal, including basic features, change points, beat points, music structure, music attributes, and music style; generating a control signal based on the music analysis content according to a preset generation rule template, and transmitting the control signal to the in-vehicle system to achieve vibration and lighting control. This method combines multi-level music information, including basic audio features, change points, beat points, music structure, music attributes, and music style information, and further uses this information to generate control signals for seat vibration and lighting rhythms in the in-vehicle system that are more consistent with the characteristics of the music, thereby providing users with a more immersive in-vehicle audio experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. Those skilled in the art can also derive other drawings based on these drawings without inventive work, among which:

[0052] 1 is a flowchart of the steps of a vehicle control method based on multi-level music information provided by an embodiment of the present invention;

[0053] 2 is a schematic structural diagram of a vehicle-mounted control system based on multi-level music information provided by an embodiment of the present invention;

[0054] FIG3 is a schematic diagram of the structure of a computer device provided by an embodiment of the present invention. Modes for Carrying Out the Invention

[0055] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0056] Please refer to FIG1 , which is a flowchart of a vehicle control method based on multi-level music information according to an embodiment of the present invention. The vehicle control method includes the following steps:

[0057] S101, obtaining a music signal;

[0058] S102, analyzing the music signal, and extracting music analysis content including basic features, change points, beat points, music structure, music attributes, and music style from the music signal;

[0059] S103 : Generate a control signal according to the music analysis content and a preset generation rule template, and transmit the control signal to the vehicle-mounted system to achieve vibration and light control.

[0060] In an embodiment of the present invention, the music signal in step S101 can be obtained through a variety of methods, including real-time / offline analysis in the vehicle, calling cloud services, or saving it in the form of metadata in the song file during production. This embodiment of the present invention does not specifically limit this.

[0061] Specifically, step S102 of the embodiment of the present invention is used to extract multi-level music analysis content from bottom to top, from basic features at the frame level to the style classification of the entire song.

[0062] Specifically, the steps of extracting the basic features from the music signal are as follows:

[0063] The music signal is framed, for example, 10ms is used as a frame to obtain multiple music frames, and the preset basic features collected in each music frame are analyzed and marked, and the basic features extracted from the i-th music frame are defined as , which satisfies:

[0064] ;

[0065] M represents the number of types of the preset basic features to be collected;

[0066] The number of music frames in the music signal is defined as Nf, and the set F of all basic features satisfies:

[0067] .

[0068] The specific steps of extracting the change point from the music signal are:

[0069] Whether the current music frame contains the change point is determined based on the energy change degree of the frames before and after the current music frame in the time domain or frequency domain. The specific form of the change point can be the starting point of a drum sound or other musical instrument. If so, the change point is extracted from the music frame, and the number of change points in the music signal is defined as No. The set O of all the change points satisfies:

[0070] .

[0071] The steps of extracting the beat points from the music signal are specifically as follows:

[0072] Based on a preset neural network, the music signal is tracked and beats and downbeats are marked. The number of beats in the music signal is defined as Nb, and the number of downbeats is defined as Nd. The set B of all beats satisfies:

[0073] ;

[0074] The set D of all said retakes satisfies:

[0075] .

[0076] The steps of extracting the music structure from the music signal are specifically as follows:

[0077] According to the structural information of the music signal, the music signal is segmented. The segmentation can be in the form of introduction, verse, chorus, bridge and outro, etc., to obtain multiple music segments. The i-th music segment in the music signal is defined as , which satisfies:

[0078] ;

[0079] in, 、 Respectively indicate that the music segment is The total number of music segments is Ns, and the set S of all music segments satisfies:

[0080] ;

[0081] The type of the i-th music segment is defined as ki, and the segment type information K of the music signal satisfies:

[0082] .

[0083] The steps of extracting the music attribute from the music signal are specifically as follows:

[0084] The music signal is segmented to obtain multiple music bars, and the rhythm intensity is calculated according to the number of notes played in each music bar. The i-th music bar in the music signal is defined as , which satisfies:

[0085] ;

[0086] The total number of the music measures is Nr, and the set R of all the music measures satisfies:

[0087] ;

[0088] The rhythm attribute strength of the i-th music measure is defined as mi, and the rhythm attribute strength information M of the music signal satisfies:

[0089] .

[0090] The step of generating a control signal according to the music analysis content and a preset generation rule template includes the following sub-steps:

[0091] Define C as the music style of the music signal, such as pop, rock, jazz, and folk, etc. In the implementation process, the music style can be identified by signal processing or deep learning methods. Specifically, according to the set of the music bar, the rhythm attribute intensity information, the music paragraph, the paragraph type information, and the music style, Generate the preset generation rule template;

[0092] According to the respective sets of the change point, the beat, and the beat , generating a time point control signal T for vibration control according to the preset generation rule template;

[0093] Generate a vector control signal P for lighting control according to the set F of basic features and the time point control signal and the preset generation rule template;

[0094] The time point control signal T and the vector control signal P are both used as the control signal and output.

[0095] For a complete song (music signal), it is defined that the song generates a total of Nc control signals, and the specific control signals can be expressed as:

[0096] ;

[0097] ;

[0098] For example, for the introduction of a ballad and the chorus of a pop song, the corresponding bars can be arranged according to the preset function. Different template values ​​wi are obtained, and then different control signal generation methods are adopted:

[0099] ;

[0100] ;

[0101] The above method is used to generate different time points and vector control signals corresponding to the preset generation rule template.

[0102] It should be pointed out that since the templates corresponding to the time point control signal and the vector control signal are different, different templates can be selected to generate corresponding signals according to the rhythm intensity attribute of the music bar, the paragraph category and the music style category during the implementation process. For example, for the introduction of a folk song, a control signal that conforms to a soothing style can be generated. This method only selects the change points corresponding to the retake as the preset generation rule template. This method can generate a gentle vibration control signal or a soft lighting control signal based on the energy and timbre of the change point in the basic features as the preset generation rule template;

[0103] For the chorus of pop songs, This method can simultaneously select the time point set corresponding to the change point and the beat as the preset generation rule template. This method uses the energy and time points of the audio as the preset generation rule template, and then generates slight vibration and soft lighting control signals based on the change points. For the beat points, the method generates vibration and bright lighting control signals of varying intensity based on the rhythm intensity of different bars in the chorus.

[0104] Furthermore, the two signals can be generated separately according to their own rules or combined to coordinate with each other. For example, the rhythm of the lights can be controlled by the beat change points, while the vibration of the seats can be controlled by the beat change points. By coordinating the lighting changes and the seat vibrations, the beat and beat points of the music can be better reflected, enhancing the immersiveness of the in-car audio experience.

[0105] Compared to related technologies, the present invention's in-vehicle control method based on multi-level music information includes the following steps: acquiring a music signal; analyzing the music signal to extract music analysis content from the music signal, including basic features, change points, beat points, music structure, music attributes, and music style; generating a control signal based on the music analysis content according to a preset generation rule template, and transmitting the control signal to the in-vehicle system to achieve vibration and lighting control. This method combines multi-level music information, including basic audio features, change points, beat points, music structure, music attributes, and music style information, and further uses this information to generate control signals for seat vibration and lighting rhythms in the in-vehicle system that are more consistent with the characteristics of the music, thereby providing users with a more immersive in-vehicle audio experience.

[0106] An embodiment of the present invention further provides an in-vehicle control system based on multi-level music information. Referring to FIG. 2 , FIG. 2 is a schematic diagram of the structure of an in-vehicle control system based on multi-level music information provided by an embodiment of the present invention. The in-vehicle control system based on multi-level music information 200 includes:

[0107] Data acquisition module 201, used to acquire music signals;

[0108] A multi-level music analysis module 202 is used to analyze the music signal and extract music analysis content including basic features, change points, beat points, music structure, music attributes and music style from the music signal;

[0109] The control module 203 is used to generate a control signal according to the music analysis content and a preset generation rule template, and transmit the control signal to the vehicle system to achieve vibration and light control.

[0110] The vehicle-mounted control system 200 based on multi-level music information can implement the steps in the vehicle-mounted control method based on multi-level music information in the above embodiment, and can achieve the same technical effects. Please refer to the description in the above embodiment and will not repeat it here.

[0111] An embodiment of the present invention also provides a computer device. Please refer to Figure 3, which is a structural diagram of the computer device provided by an embodiment of the present invention. The computer device 300 includes: a memory 302, a processor 301, and an in-vehicle control program based on multi-level music information stored on the memory 302 and capable of running on the processor 301.

[0112] The processor 301 calls the vehicle control program based on multi-level music information stored in the memory 302 to execute the steps of the vehicle control method based on multi-level music information provided by the embodiment of the present invention. Referring to FIG. 1 , the method specifically includes the following steps:

[0113] S101, obtaining a music signal;

[0114] S102, analyzing the music signal, and extracting music analysis content including basic features, change points, beat points, music structure, music attributes, and music style from the music signal;

[0115] S103 : Generate a control signal according to the music analysis content and a preset generation rule template, and transmit the control signal to the vehicle-mounted system to achieve vibration and light control.

[0116] Preferably, the step of extracting the basic features from the music signal is specifically as follows:

[0117] The music signal is framed to obtain multiple music frames, and the preset basic features collected in each music frame are analyzed and marked, and the basic features extracted from the i-th music frame are defined as , which satisfies:

[0118] ;

[0119] M represents the number of types of the preset basic features to be collected;

[0120] The number of music frames in the music signal is defined as Nf, and the set F of all basic features satisfies:

[0121] .

[0122] Preferably, the step of extracting the change point from the music signal is specifically as follows:

[0123] Whether the current music frame contains the change point is determined based on the energy change degree of the frames before and after the current music frame in the time domain or frequency domain. If so, the change point is extracted from the music frame, and the number of change points in the music signal is defined as No. The set O of all the change points satisfies:

[0124] .

[0125] Preferably, the step of extracting the beat point from the music signal is specifically as follows:

[0126] Based on a preset neural network, the music signal is beat tracked and the beats and beats are marked. The number of beats in the music signal is defined as Nb, and the number of beats is defined as Nd. The set B of all the beats satisfies:

[0127] ;

[0128] The set D of all said retakes satisfies:

[0129] .

[0130] Preferably, the step of extracting the music structure from the music signal is specifically as follows:

[0131] According to the structural information of the music signal, the music signal is segmented to obtain multiple music segments, and the i-th music segment in the music signal is defined as , which satisfies:

[0132] ;

[0133] in, 、 Respectively indicate that the music segment is The total number of music segments is Ns, and the set S of all music segments satisfies:

[0134] ;

[0135] The type of the i-th music segment is defined as ki, and the segment type information K of the music signal satisfies:

[0136] .

[0137] Preferably, the step of extracting the music attribute from the music signal is specifically as follows:

[0138] The music signal is segmented to obtain a plurality of music measures, and the rhythm attribute strength is calculated according to the number of notes played in each music measure, and the i-th music measure in the music signal is defined as , which satisfies:

[0139] ;

[0140] The total number of the music measures is Nr, and the set R of all the music measures satisfies:

[0141] ;

[0142] The rhythm attribute strength of the i-th music measure is defined as mi, and the rhythm attribute strength information M of the music signal satisfies:

[0143] .

[0144] Preferably, the step of generating a control signal according to a preset generation rule template based on the music analysis content includes the following sub-steps:

[0145] Define C as the music style of the music signal, based on the set of the music bar, the rhythm attribute strength information, the music paragraph, the paragraph type information and the music style Generate the preset generation rule template;

[0146] According to the respective sets of the change point, the beat, and the beat , generating a time point control signal T for vibration control according to the preset generation rule template;

[0147] Generate a vector control signal P for lighting control according to the set F of basic features and the time point control signal and the preset generation rule template;

[0148] The time point control signal T and the vector control signal P are both used as the control signal and output.

[0149] The computer device 300 provided in an embodiment of the present invention can implement the steps in the vehicle-mounted control method based on multi-level music information in the above embodiment, and can achieve the same technical effects. Please refer to the description in the above embodiment and will not repeat it here.

[0150] An embodiment of the present invention also provides a computer-readable storage medium, which stores an in-vehicle control program based on multi-level music information. When the in-vehicle control program based on multi-level music information is executed by a processor, it implements the various processes and steps in the in-vehicle control method based on multi-level music information provided by an embodiment of the present invention, and can achieve the same technical effect. To avoid repetition, it will not be repeated here.

[0151] Those skilled in the art will appreciate that all or part of the processes in the above-described method embodiments can be implemented by instructing the relevant hardware using an on-board control program based on multi-level music information. The program can be stored in a computer-readable storage medium, and when executed, the program can include the processes in the above-described method embodiments. The storage medium can be a magnetic disk, an optical disk, a read-only memory (ROM), or a random access memory (RAM).

[0152] It should be noted that, in this document, the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, article, or apparatus comprising a series of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, method, article, or apparatus comprising the element.

[0153] Through the above description of the embodiments, those skilled in the art will clearly understand that the methods of the above embodiments can be implemented using software plus the necessary general-purpose hardware platform. Of course, hardware can also be used, but in many cases the former is the more preferred implementation method. Based on this understanding, the technical solution of the present invention, or the portion that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, or optical disk) and includes a number of instructions for enabling a terminal (such as a mobile phone, computer, server, air conditioner, or network device) to execute the methods described in the various embodiments of the present invention.

[0154] The above description is only an embodiment of the present invention. It should be pointed out that those skilled in the art can make improvements without departing from the creative concept of the present invention, but these improvements all fall within the scope of protection of the present invention.

Claims

1. A vehicle-mounted control method based on multi-level music information, characterized in that: The vehicle-mounted control method comprises the following steps: Get music signal; Analyzing the music signal to extract music analysis content including basic features, change points, beat points, music structure, music attributes and music style from the music signal; Based on the music analysis content, a control signal is generated according to a preset generation rule template, and the control signal is transmitted to the vehicle system to achieve vibration and light control.

2. The vehicle-mounted control method based on multi-level music information according to claim 1, characterized in that: The steps of extracting the basic features from the music signal are specifically as follows: The music signal is framed to obtain multiple music frames, and the preset basic features collected in each music frame are analyzed and marked, and the basic features extracted from the i-th music frame are defined as , which satisfies: ； M represents the number of types of the preset basic features to be collected; The number of music frames in the music signal is defined as Nf, and the set F of all basic features satisfies: 。 3. The vehicle-mounted control method based on multi-level music information according to claim 2, characterized in that: The specific steps of extracting the change point from the music signal are: Whether the current music frame contains the change point is determined based on the energy change degree of the previous frame and the next frame in the time domain or the frequency domain of the current music frame. If so, the change point is extracted from the music frame, and the number of change points in the music signal is defined as No. The set O of all the change points satisfies: 。 4. The vehicle-mounted control method based on multi-level music information according to claim 3, characterized in that: The steps of extracting the beat points from the music signal are specifically as follows: Based on a preset neural network, the music signal is beat tracked and the beats and beats are marked. The number of beats in the music signal is defined as Nb, and the number of beats is defined as Nd. The set B of all the beats satisfies: ； The set D of all said retakes satisfies: 。 5. The vehicle-mounted control method based on multi-level music information according to claim 4, characterized in that: The steps of extracting the music structure from the music signal are specifically as follows: According to the structural information of the music signal, the music signal is segmented to obtain multiple music segments, and the i-th music segment in the music signal is defined as , which satisfies: ； in, 、 Respectively indicate that the music segment is The total number of music segments is Ns, and the set S of all music segments satisfies: ； The type of the i-th music segment is defined as ki, and the segment type information K of the music signal satisfies: 。 6. The vehicle-mounted control method based on multi-level music information according to claim 5, characterized in that: The steps of extracting the music attribute from the music signal are specifically as follows: The music signal is segmented to obtain a plurality of music measures, and the rhythm attribute strength is calculated according to the number of notes played in each music measure, and the i-th music measure in the music signal is defined as , which satisfies: ； The total number of the music measures is Nr, and the set R of all the music measures satisfies: ； The rhythm attribute strength of the i-th music measure is defined as mi, and the rhythm attribute strength information M of the music signal satisfies: 。 7. The vehicle-mounted control method based on multi-level music information according to claim 6, characterized in that: The step of generating a control signal according to the music analysis content and a preset generation rule template includes the following sub-steps: Define C as the music style of the music signal, based on the set of the music bar, the rhythm attribute strength information, the music paragraph, the paragraph type information and the music style Generate the preset generation rule template; According to the respective sets of the change point, the beat, and the beat , generating a time point control signal T for vibration control according to the preset generation rule template; Generate a vector control signal P for lighting control according to the set of basic features F and the time point control signal T and the preset generation rule template; The time point control signal T and the vector control signal P are both used as the control signal and output.

8. A vehicle-mounted control system based on multi-level music information, characterized in that: include: A data acquisition module, used for acquiring music signals; A music analysis module, configured to analyze the music signal and extract music analysis content including basic features, change points, beat points, music structure, music attributes and music style from the music signal; The control module is used to generate a control signal according to the music analysis content and a preset generation rule template, and transmit the control signal to the vehicle system to achieve vibration and light control.

9. A computer device, characterized in that: include: A memory, a processor, and an in-vehicle control program based on multi-level music information stored in the memory and executable on the processor. When the processor executes the in-vehicle control program based on multi-level music information, the steps of the in-vehicle control method based on multi-level music information as described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores an in-vehicle control program based on multi-level music information. When the in-vehicle control program based on multi-level music information is executed by the processor, the steps of the in-vehicle control method based on multi-level music information as described in any one of claims 1-7 are implemented.

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