Control system and method for car audio amplifier

Abstract

The present invention relates to the field of audio control technology, and specifically discloses a control system and method for an automobile audio amplifier. The system includes a signal receiving end, a signal processing end, and a signal execution end. The signal processing end is used to perform content recognition on the audio information and determine the user's emotional level based on the content recognition result; obtain the user's image information based on the emotional level, and generate the user's status information based on the image information and audio information; determine the working parameters of the signal execution end based on the status information, and send the working parameters to the signal execution end; and receive and display the energy efficiency and reference parameters sent by the signal execution end. The present invention receives the user's audio information in real time, obtains image information based on the audio information, and then determines the execution end working parameters in combination with the image information and audio information, thereby being more adaptable to the driver and improving driving safety.

Description

Technical Field

[0001] The present invention relates to the technical field of audio control, and in particular to a control system and method for a car audio amplifier. Background Art

[0002] Car audio is an important way to enhance driving entertainment and access information, and has become a standard feature in automobiles. Car audio has evolved from the earliest AM radios to digital audio, VCDs, and other multimedia systems. The maturity of DVD technology has made multifunctional, digital stereo systems a reality.

[0003] As a component that interacts with the user, it can affect the user's state to a certain extent. When the user is tired during driving, it is definitely inappropriate to play some hypnotic music, which will greatly reduce the user's safety. Moreover, when the user is tired, when he hears soft and quiet music, he will want to listen to it more than usual. The user will think that it is okay to listen for a short while, but it is precisely this short while that will greatly increase the probability of risk.

[0004] Therefore, how to intelligently adjust the audio playback parameters according to the user status is the technical problem that the technical solution of the present invention wants to solve. Summary of the Invention

[0005] The object of the present invention is to provide a control system and method for a car audio amplifier to solve the problems raised in the above background technology.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] A control system for a car audio power amplifier, the system comprising:

[0008] The signal receiving end is used to receive the voice signal sent by the user in real time, and process the received voice signal through the preamplifier, sound reverberator, and power amplifier. After frequency modulation, filtering and simulation processing, a stable audio information is obtained;

[0009] The signal processing end is configured to perform content recognition on the audio information and determine the user's emotional level based on the content recognition result; obtain image information of the user based on the emotional level, and generate user status information based on the image information and audio information; determine operating parameters of the signal execution end based on the status information and send the operating parameters to the signal execution end; receive and display the energy efficiency and reference parameters sent by the signal execution end;

[0010] The signal execution end is used to obtain energy parameters in real time and determine reference parameters of the signal execution end based on the energy parameters; the energy parameters include energy margin and supplementary frequency; receive working parameters sent by the signal processing end, calculate energy consumption efficiency based on the reference parameters and the working parameters; and send the energy consumption efficiency and reference parameters to the signal processing end.

[0011] As a further solution of the present invention: the signal processing end includes:

[0012] a content recognition module, configured to perform content recognition on the audio information and determine the user's emotion level based on the content recognition result;

[0013] a state analysis module, configured to obtain image information of the user based on the emotion level, and generate state information of the user based on the image information and audio information;

[0014] a parameter determination module, configured to determine operating parameters of the signal execution terminal according to the state information, and send the operating parameters to the signal execution terminal;

[0015] The reference data receiving module is used to receive and display the energy efficiency and reference parameters sent by the signal execution end.

[0016] As a further solution of the present invention: the content identification module includes:

[0017] A fluctuation recognition unit is used to perform fluctuation recognition on audio information and obtain a valid band based on the fluctuation recognition result;

[0018] A speech recognition unit is used to perform human voice recognition on the effective band, determine whether the effective band is a human voice signal, and perform speech recognition on the effective band when the effective band is a human voice signal;

[0019] a sensitivity calculation unit, configured to generate text according to the speech recognition result, and perform sensitivity analysis on the text to obtain the sensitivity of the text;

[0020] A level determination unit is used to determine the user's emotion level according to the sensitivity.

[0021] As a further solution of the present invention: the sensitivity calculation unit includes:

[0022] A deletion subunit, configured to delete symbols from the text to generate a character string to be checked;

[0023] a marking subunit, configured to sequentially read characters in the character string to be checked, determine whether the characters are sensitive characters according to a sensitive character library, and mark the characters when the characters are sensitive characters;

[0024] a ratio calculation subunit, configured to calculate a ratio of the number of tokens in the character string based on the number of tokens of the character;

[0025] The comparison subunit is used to compare the ratio with a preset ratio range and calculate the sensitivity of the text according to the comparison result.

[0026] As a further solution of the present invention: the state analysis module includes:

[0027] a frequency determination unit, configured to compare the emotion level with a preset emotion threshold and determine an image acquisition frequency based on the comparison result;

[0028] an image queue generating unit, configured to obtain user image information based on the image acquisition frequency, and sort the image information according to time information in the image information to obtain an image queue;

[0029] an audio segment group generating unit, configured to extract an audio segment group corresponding to the image queue from the audio information based on time information of the image information in the image queue;

[0030] A status information determining unit is configured to determine the user's status information based on the image queue and the corresponding audio segment group.

[0031] As a further solution of the present invention: the state information determination unit includes:

[0032] The logic operation subunit is used to sequentially extract elements in the image queue and perform logic operations;

[0033] A region differentiation subunit is used to determine a dynamic region and a static region according to a logic operation result;

[0034] A micro-expression recognition subunit is used to sequentially perform micro-expression recognition on the dynamic areas of the image information in the image queue and determine the user's status information based on the micro-expression recognition results;

[0035] The result correction subunit is used to search the audio segment group for the audio segment corresponding to the image information, read the content recognition result of the audio segment, and correct the user's status information according to the read content recognition result.

[0036] As a further solution of the present invention: the parameter determination module includes:

[0037] an operating parameter generating unit, configured to input the state information into a trained parameter adjustment model to obtain operating parameters of the signal execution end;

[0038] a state detection unit, configured to send the operating parameters to the signal execution end, receive a feedback signal from the signal execution end in real time, and determine a sending state based on the feedback signal;

[0039] The adjustment unit is used to adjust the sending process according to the sending status.

[0040] The technical solution of the present invention also provides a control method for a car audio amplifier, which is used at a signal processing end and includes:

[0041] Perform content recognition on the audio information and determine the user's emotional level based on the content recognition results;

[0042] acquiring image information of the user based on the emotion level, and generating status information of the user according to the image information and audio information;

[0043] determining operating parameters of the signal execution terminal according to the state information, and sending the operating parameters to the signal execution terminal;

[0044] Receive and display the energy efficiency and reference parameters sent by the signal execution end.

[0045] As a further solution of the present invention, the step of obtaining the user's image information based on the emotion level and generating the user's status information according to the image information and audio information includes:

[0046] Comparing the emotion level with a preset emotion threshold, and determining an image acquisition frequency based on the comparison result;

[0047] Acquire user image information based on the image acquisition frequency, and sort the image information according to time information in the image information to obtain an image queue;

[0048] intercepting an audio segment group corresponding to the image queue from the audio information based on time information of the image information in the image queue;

[0049] The user's status information is determined based on the image queue and the corresponding audio segment group.

[0050] As a further solution of the present invention: the step of determining the user's status information based on the image queue and the corresponding audio segment group includes:

[0051] Extract the elements in the image queue in sequence and perform logical operations;

[0052] Determine the dynamic area and the static area according to the result of the logic operation;

[0053] Perform micro-expression recognition on the dynamic areas of the image information in the image queue in sequence, and determine the user's status information based on the micro-expression recognition results;

[0054] The audio segment group is searched for an audio segment corresponding to the image information, a content recognition result of the audio segment is read, and the user's status information is corrected according to the read content recognition result.

[0055] Compared with the existing technology, the beneficial effects of the present invention are: the present invention receives the user's audio information in real time, obtains image information based on the audio information, and then combines the image information and audio information to jointly determine the execution end working parameters, so as to be more suitable for the driver and improve driving safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention.

[0057] Figure 1 The following is an architectural diagram of the control system used for a car audio amplifier.

[0058] Figure 2 The figure is a structural block diagram of the signal processing end in the control system of a car audio amplifier.

[0059] Figure 3 This is a structural block diagram of the content recognition module in the signal processing end.

[0060] Figure 4 This is a structural block diagram of the state analysis module in the signal processing end.

[0061] Figure 5 This is a structural block diagram of the parameter determination module in the signal processing end.

[0062] Figure 6 The present invention is a flow chart of a control method for a car audio amplifier.

[0063] Figure 7 This is a block diagram of a first sub-process of a control method for a car audio amplifier. DETAILED DESCRIPTION

[0064] In order to make the technical problems, technical solutions and beneficial effects to be solved by the present invention more clearly understood, the present invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0065] Example 1

[0066] Figure 1 The following is an architecture diagram of a control system for a car audio power amplifier. In an embodiment of the present invention, a control system for a car audio power amplifier includes:

[0067] The signal receiving end is used to receive the voice signal sent by the user in real time, and process the received voice signal through the preamplifier, sound reverberator, and power amplifier. After frequency modulation, filtering and simulation processing, a stable audio information is obtained;

[0068] The signal processing end is configured to perform content recognition on the audio information and determine the user's emotional level based on the content recognition result; obtain image information of the user based on the emotional level, and generate user status information based on the image information and audio information; determine operating parameters of the signal execution end based on the status information and send the operating parameters to the signal execution end; receive and display the energy efficiency and reference parameters sent by the signal execution end;

[0069] The signal execution end is used to obtain energy parameters in real time and determine reference parameters of the signal execution end based on the energy parameters; the energy parameters include energy margin and supplementary frequency; receive working parameters sent by the signal processing end, calculate energy consumption efficiency based on the reference parameters and the working parameters; and send the energy consumption efficiency and reference parameters to the signal processing end.

[0070] The technical solution of the present invention is a three-terminal interactive system. The hardware parts of the signal receiving end and the signal processing end are mostly integrated, which are used to receive and process signals. Among them, the signal preprocessing process is completed by the signal receiving end, such as filtering, amplification and other operations; the signal recognition process is completed by the signal processing end. Therefore, the signal processing end itself is a microprocessor.

[0071] The signal execution end is the audio execution unit, which is used to play music under preset operating parameters; it should be noted that the operating parameters are determined by the signal processing end; in addition to playing music, the signal execution end also monitors the vehicle's energy to a certain extent, thereby helping the signal processing end adjust the operating parameters.

[0072] Figure 2 The structure block diagram of the signal processing end in the control system of the car audio amplifier is shown in FIG. The signal processing end 10 includes:

[0073] a content recognition module 11 for performing content recognition on the audio information and determining the user's emotion level based on the content recognition result;

[0074] A state analysis module 12 is configured to obtain image information of the user based on the emotion level, and generate state information of the user based on the image information and audio information;

[0075] a parameter determination module 13, configured to determine operating parameters of the signal execution terminal according to the state information, and send the operating parameters to the signal execution terminal;

[0076] The reference data receiving module 14 is used to receive and display the energy efficiency and reference parameters sent by the signal execution end.

[0077] The above content is a specific refinement of the signal processing end 10. The content recognition module 11 analyzes and determines the user's emotional state from the perspective of sound. The emotional level can be level 1 to level 10, level 1 indicates a happy mood, and level 10 indicates an angry state. The user's emotions are unstable during driving. The state analysis module 12 adds an image recognition process based on the audio information to further determine the user's state. Then, the parameter determination module 13 determines the working mode of the signal execution end according to the user's state information.

[0078] It is worth mentioning that the parameter data receiving module 14 can obtain feedback information from the signal execution end in real time and adjust the working parameters according to the feedback information.

[0079] Figure 3 The content identification module 11 in the signal processing terminal is a structural block diagram of the content identification module 11. The content identification module 11 includes:

[0080] The fluctuation recognition unit 111 is used to perform fluctuation recognition on the audio information and obtain a valid band according to the fluctuation recognition result;

[0081] A speech recognition unit 112 is configured to perform human voice recognition on the effective band, determine whether the effective band is a human voice signal, and perform speech recognition on the effective band when the effective band is a human voice signal;

[0082] a sensitivity calculation unit 113, configured to generate text according to the speech recognition result, and perform sensitivity analysis on the text to obtain the sensitivity of the text;

[0083] The level determination unit 114 is configured to determine the user's emotion level according to the sensitivity.

[0084] The above content is essentially a speech recognition process. The specific method for determining whether it is a valid band is to detect whether there is a sudden change in sound. If there is no sudden change in sound, it means that there is no sound, and naturally it cannot be a human voice. After detecting the sudden change in sound, it is determined whether it is a human voice signal. When the valid band is a human voice signal, speech recognition is performed on the valid band. Analyzing text is clearer and easier than analyzing audio.

[0085] Furthermore, the sensitivity calculation unit 113 includes:

[0086] A deletion subunit, configured to delete symbols from the text to generate a character string to be checked;

[0087] a marking subunit, configured to sequentially read characters in the character string to be checked, determine whether the characters are sensitive characters according to a sensitive character library, and mark the characters when the characters are sensitive characters;

[0088] a ratio calculation subunit, configured to calculate a ratio of the number of tokens in the character string based on the number of tokens of the character;

[0089] The comparison subunit is used to compare the ratio with a preset ratio range and calculate the sensitivity of the text according to the comparison result.

[0090] The above content provides a detailed description of the text recognition process, the output of which is the text's sensitivity. First, symbols are removed from the text to obtain a plain text file. Then, these plain text files are analyzed to identify sensitive words. The proportion of these sensitive words in the entire text is calculated to determine the text's sensitivity. As you can imagine, when driving, users are in a private space, unsupervised by others, and they may make many strange noises or use words they wouldn't normally say. The angrier they are, the more likely they are to use such words. Therefore, the text sensitivity, determined by the proportion of such words, can reflect the user's emotional state.

[0091] Figure 4 FIG. 1 is a structural block diagram of the state analysis module 12 in the signal processing terminal. The state analysis module 12 includes:

[0092] a frequency determination unit 121, configured to compare the emotion level with a preset emotion threshold and determine an image acquisition frequency based on the comparison result;

[0093] An image queue generating unit 122 is configured to obtain user image information based on the image acquisition frequency, and sort the image information according to time information in the image information to obtain an image queue;

[0094] The audio segment group generating unit 123 is configured to extract an audio segment group corresponding to the image queue from the audio information based on time information of the image information in the image queue;

[0095] The status information determining unit 124 is configured to determine the user's status information based on the image queue and the corresponding audio segment group.

[0096] The core of this process lies in the matching of audio and image information. Only images and audio from the same time period can be used together to determine the user's current state. The more unstable the user's mood, the higher the frequency of image acquisition and detection.

[0097] Furthermore, the state information determining unit 124 includes:

[0098] The logic operation subunit is used to sequentially extract elements in the image queue and perform logic operations;

[0099] A region differentiation subunit is used to determine a dynamic region and a static region according to a logic operation result;

[0100] A micro-expression recognition subunit is used to sequentially perform micro-expression recognition on the dynamic areas of the image information in the image queue and determine the user's status information based on the micro-expression recognition results;

[0101] The result correction subunit is used to search the audio segment group for the audio segment corresponding to the image information, read the content recognition result of the audio segment, and correct the user's status information according to the read content recognition result.

[0102] The image information processing process is as follows: first, perform some logical AND operations or logical XOR operations on all image information (image queues). Based on the logical operation results, the user area, that is, the dynamic area mentioned above, can be determined; face recognition is performed on the dynamic area, and then micro-expression recognition is performed. Since there is also assistance from audio information, the accuracy of micro-expression recognition does not need to be too high. After recognizing the audio in the same time period, the user's status can be determined together with the image information.

[0103] Figure 5 FIG. 1 is a structural block diagram of the parameter determination module 13 in the signal processing terminal. The parameter determination module 13 includes:

[0104] The working parameter generating unit 131 is used to input the state information into the trained parameter adjustment model to obtain the working parameters of the signal execution end;

[0105] a state detection unit 132 configured to send the operating parameters to the signal execution end, receive a feedback signal from the signal execution end in real time, and determine a sending state based on the feedback signal;

[0106] The adjusting unit 133 is configured to adjust the sending process according to the sending status.

[0107] The working process of the above content is relatively simple, which is a process of evaluating the status information with the help of a parameter adjustment model. The parameter adjustment model is actually a mapping relationship. Different status information corresponds to which working parameters are preset in the parameter adjustment model. You only need to input the status information to obtain the working parameters of the signal execution end.

[0108] Example 2

[0109] Figure 6 This is a flowchart of a method for controlling a car audio power amplifier. In an embodiment of the present invention, a method for controlling a car audio power amplifier is provided. The method is used at a signal processing end and includes:

[0110] Step S100: performing content recognition on the audio information and determining the user's emotion level based on the content recognition result;

[0111] Step S200: acquiring image information of the user based on the emotion level, and generating status information of the user according to the image information and audio information;

[0112] Step S300: determining the operating parameters of the signal execution terminal according to the state information, and sending the operating parameters to the signal execution terminal;

[0113] Step S400: receiving and displaying the energy efficiency and reference parameters sent by the signal execution end.

[0114] Figure 7 This is a block diagram of a first sub-process of a method for controlling a car audio amplifier, wherein the steps of obtaining image information of the user based on the emotion level and generating status information of the user based on the image information and audio information include:

[0115] Step S201: comparing the emotion level with a preset emotion threshold, and determining an image acquisition frequency according to the comparison result;

[0116] Step S202: acquiring user image information based on the image acquisition frequency, and sorting the image information according to time information in the image information to obtain an image queue;

[0117] Step S203: intercepting an audio segment group corresponding to the image queue from the audio information based on the time information of the image information in the image queue;

[0118] Step S204: determining user status information based on the image queue and the corresponding audio segment group.

[0119] Furthermore, the step of determining the user's status information based on the image queue and the corresponding audio segment group includes:

[0120] Extract the elements in the image queue in sequence and perform logical operations;

[0121] Determine the dynamic area and the static area according to the result of the logic operation;

[0122] Perform micro-expression recognition on the dynamic areas of the image information in the image queue in sequence, and determine the user's status information based on the micro-expression recognition results;

[0123] The audio segment group is searched for an audio segment corresponding to the image information, a content recognition result of the audio segment is read, and the user's status information is corrected according to the read content recognition result.

[0124] The functions that can be achieved by the control method for a car audio amplifier are all completed by a computer device. The computer device includes one or more processors and one or more memories. The one or more memories store at least one program code. The program code is loaded and executed by the one or more processors to achieve the functions of the control method for a car audio amplifier.

[0125] The processor retrieves instructions from the memory one by one, analyzes the instructions, and then performs corresponding operations according to the instructions, generating a series of control commands, so that the various parts of the computer can automatically, continuously and coordinately operate as an organic whole, realizing program input, data input, calculation and output of results. The arithmetic operations or logical operations generated in this process are all completed by the operator; the memory includes a read-only memory (ROM), which is used to store computer programs, and a protection device is provided on the outside of the memory.

[0126] For example, a computer program may be divided into one or more modules, one or more of which are stored in a memory and executed by a processor to implement the present invention. One or more modules may be a series of computer program instruction segments capable of performing specific functions, and the instruction segments are used to describe the execution process of the computer program in a terminal device.

[0127] Those skilled in the art will understand that the description of the above-mentioned service device is merely an example and does not constitute a limitation on the terminal device. It may include more or fewer components than described above, or a combination of certain components, or different components, for example, it may include input and output devices, network access devices, buses, etc.

[0128] The processor may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor. The processor is the control center of the terminal device, connecting all parts of the user terminal using various interfaces and lines.

[0129] The memory can be used to store computer programs and / or modules. The processor implements the various functions of the terminal device by running or executing the computer programs and / or modules stored in the memory and accessing data stored in the memory. The memory may primarily include a program storage area and a data storage area. The program storage area may store an operating system and at least one application required for a function (such as an information collection template display function and a product information release function); the data storage area may store data generated based on the use of the berth status display system (such as product information collection templates corresponding to different product types and product information required to be released by different product providers). Furthermore, the memory may include high-speed random access memory and non-volatile memory, such as a hard disk, internal memory, a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash memory card, at least one disk storage device, a flash memory device, or other volatile solid-state storage device.

[0130] If the modules / units integrated into the terminal device are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the present invention can also implement all or part of the modules / units in the above-mentioned system embodiments by instructing the relevant hardware through a computer program. The above-mentioned computer program can be stored in a computer-readable storage medium. When executed by a processor, the computer program can implement the functions of each of the above-mentioned system embodiments. The computer program includes computer program code, which can be in source code form, object code form, executable file, or some intermediate form. Computer-readable media can include: any entity or device capable of carrying computer program code, recording media, USB flash drives, mobile hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunications signals, and software distribution media.

[0131] 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.

[0132] The above are only preferred embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention description and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A control system for a car audio amplifier, characterized in that: The system comprises: The signal receiving end is used to receive the voice signal sent by the user in real time, and process the received voice signal through the preamplifier, sound reverberator, and power amplifier. After frequency modulation, filtering and simulation processing, a stable audio information is obtained; The signal processing end is configured to perform content recognition on the audio information and determine the user's emotional level based on the content recognition result; obtain image information of the user based on the emotional level, and generate user status information based on the image information and audio information; determine operating parameters of the signal execution end based on the status information and send the operating parameters to the signal execution end; receive and display the energy efficiency and reference parameters sent by the signal execution end; The signal execution end is configured to obtain energy parameters in real time and determine reference parameters of the signal execution end based on the energy parameters; the energy parameters include energy margin and supplementary frequency; receive operating parameters sent by the signal processing end, calculate energy consumption efficiency based on the reference parameters and the operating parameters; and send the energy consumption efficiency and reference parameters to the signal processing end; The signal processing end includes: a content recognition module, configured to perform content recognition on the audio information and determine the user's emotion level based on the content recognition result; a state analysis module, configured to obtain image information of the user based on the emotion level, and generate state information of the user based on the image information and audio information; a parameter determination module, configured to determine operating parameters of the signal execution terminal according to the state information, and send the operating parameters to the signal execution terminal; A reference data receiving module is used to receive and display the energy efficiency and reference parameters sent by the signal execution end; The status analysis module includes: a frequency determination unit, configured to compare the emotion level with a preset emotion threshold and determine an image acquisition frequency based on the comparison result; an image queue generating unit, configured to obtain user image information based on the image acquisition frequency, and sort the image information according to time information in the image information to obtain an image queue; an audio segment group generating unit, configured to extract an audio segment group corresponding to the image queue from the audio information based on time information of the image information in the image queue; A status information determining unit is configured to determine the user's status information based on the image queue and the corresponding audio segment group.

2. The control system for a car audio amplifier according to claim 1, characterized in that: The content identification module includes: A fluctuation recognition unit is used to perform fluctuation recognition on audio information and obtain a valid band based on the fluctuation recognition result; A speech recognition unit is used to perform human voice recognition on the effective band, determine whether the effective band is a human voice signal, and perform speech recognition on the effective band when the effective band is a human voice signal; a sensitivity calculation unit, configured to generate text according to the speech recognition result, and perform sensitivity analysis on the text to obtain the sensitivity of the text; A level determination unit is used to determine the user's emotion level according to the sensitivity.

3. The control system for a car audio amplifier according to claim 2, characterized in that: The sensitivity calculation unit includes: A deletion subunit, configured to delete symbols from the text to generate a character string to be checked; a marking subunit, configured to sequentially read characters in the character string to be checked, determine whether the characters are sensitive characters according to a sensitive character library, and mark the characters when the characters are sensitive characters; a ratio calculation subunit, configured to calculate a ratio of the number of tokens in the character string based on the number of tokens of the character; The comparison subunit is used to compare the ratio with a preset ratio range and calculate the sensitivity of the text according to the comparison result.

4. The control system for a car audio amplifier according to claim 3, characterized in that: The state information determining unit includes: The logic operation subunit is used to sequentially extract elements in the image queue and perform logic operations; A region differentiation subunit is used to determine a dynamic region and a static region according to a logic operation result; A micro-expression recognition subunit is used to sequentially perform micro-expression recognition on the dynamic areas of the image information in the image queue and determine the user's status information based on the micro-expression recognition results; The result correction subunit is used to search the audio segment group for the audio segment corresponding to the image information, read the content recognition result of the audio segment, and correct the user's status information according to the read content recognition result.

5. The control system for a car audio amplifier according to claim 1, characterized in that: The parameter determination module includes: an operating parameter generating unit, configured to input the state information into a trained parameter adjustment model to obtain operating parameters of the signal execution end; a state detection unit, configured to send the operating parameters to the signal execution end, receive a feedback signal from the signal execution end in real time, and determine a sending state based on the feedback signal; The adjustment unit is used to adjust the sending process according to the sending status.

6. A control method for a car audio power amplifier, using the control system for a car audio power amplifier according to any one of claims 1 to 5, characterized in that: The method is used at a signal processing end, and includes: Perform content recognition on the audio information and determine the user's emotional level based on the content recognition results; acquiring image information of the user based on the emotion level, and generating status information of the user according to the image information and audio information; determining operating parameters of the signal execution terminal according to the state information, and sending the operating parameters to the signal execution terminal; Receive and display the energy efficiency and reference parameters sent by the signal execution end; The step of acquiring the user's image information based on the emotion level and generating the user's status information according to the image information and audio information comprises: Comparing the emotion level with a preset emotion threshold, and determining an image acquisition frequency based on the comparison result; Acquire user image information based on the image acquisition frequency, and sort the image information according to time information in the image information to obtain an image queue; intercepting an audio segment group corresponding to the image queue from the audio information based on time information of the image information in the image queue; The user's status information is determined based on the image queue and the corresponding audio segment group.

7. The control method for a car audio amplifier according to claim 6, characterized in that: The step of determining the user's status information based on the image queue and the corresponding audio segment group includes: Extract the elements in the image queue in sequence and perform logical operations; Determine the dynamic area and the static area according to the result of the logic operation; Perform micro-expression recognition on the dynamic areas of the image information in the image queue in sequence, and determine the user's status information based on the micro-expression recognition results; The audio segment group is searched for an audio segment corresponding to the image information, a content recognition result of the audio segment is read, and the user's status information is corrected according to the read content recognition result.

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