Intelligent sound asset management method and system based on digital tags

Abstract

The invention discloses an intelligent sound asset management method and system based on digital tags, and relates to the technical field of digital asset management, and the method comprises the steps: extracting digital tags of all sound assets in an asset library, and obtaining a digital tag set of each sound asset; solving a union set of the digital tag sets of all the sound assets to obtain a total digital tag set; based on the historical management data of the sound assets, determining the adaptation relevancy between each digital tag in the total digital tag set and at least one application direction tag; and obtaining a current sound asset management demand, and determining a sound asset management scheme based on the sound asset management demand and the adaptation relevancy between each digital tag in the digital tag total set and the at least one application direction tag. In conclusion, the method has the advantages that management of the sound assets is optimized, the adaptation degree between the sound assets and requirements is improved, related management and utilization of the sound assets are perfected, and the application field and value of the sound assets are expanded.

Description

Technical Field

[0001] The present invention relates to the technical field of digital asset management, and in particular to a method and system for intelligent management of sound assets based on digital tags. Background Art

[0002] Sound assets refer to assets with economic or cultural value that are composed of sound elements. These sound elements can come from multiple fields such as the natural environment, human social activities or artistic creation. The core of sound assets lies in the sound elements that constitute them. These elements can be natural sounds, such as wind and rain, sounds of human activities, such as human voices and musical instruments, and sounds in artistic creation, such as music and sound effects. Sound assets cover a wide range of sound types, including both concrete sounds, such as specific and identifiable musical instrument sounds, and abstract sounds, such as environmental sounds and ambient sounds.

[0003] In the management of sound assets, how to choose the right sound assets at the right time to meet the adaptability between sound assets and needs is an important management method for sound assets. The existing technology lacks a digital tag management method for converting sound assets. When managing sound assets, there is a lack of effective management analysis depth, which makes it difficult to achieve a fast and effective matching solution between sound assets and needs. Summary of the invention

[0004] In order to solve the above technical problems, a method and system for intelligent management of sound assets based on digital tags are provided. This technical solution solves the problem that the above-mentioned existing technology lacks a table conversion digital tag management method for sound assets, lacks effective management analysis depth when managing sound assets, and makes it difficult to achieve a fast and effective matching solution between sound assets and needs.

[0005] In order to achieve the above purpose, the technical solution adopted by the present invention is:

[0006] A digital tag-based sound asset intelligent management method, comprising:

[0007] Extract the digital tags of all sound assets in the asset library to obtain the digital tag set of each sound asset;

[0008] The digital label sets of all sound assets are combined to obtain the total digital label set;

[0009] Determining, based on historical management data of the sound asset, an adaptation correlation between each digital tag in the total set of digital tags and at least one application direction tag;

[0010] The current sound asset management requirement is obtained, and a sound asset management solution is determined based on the sound asset management requirement and the adaptation correlation between each digital tag in the total set of digital tags and at least one application direction tag.

[0011] Preferably, the determining, based on the historical management data of the sound assets, the adaptation correlation between each digital tag in the total set of digital tags and at least one application direction tag specifically comprises:

[0012] Obtain application history data of all sound assets, and determine the historical application direction label and the digital label set of the adopted sound assets under each historical application data;

[0013] The digital label and the application direction label for calculating the adaptation correlation are respectively recorded as the sample digital label and the sample application direction label;

[0014] Obtain the number of historical application data in which the sample application direction label appears, and record it as the first quantity data;

[0015] Acquire the digital tag set of the adopted sound assets, and record the number of historical application data in which the sample digital tags appear as the second quantity data;

[0016] Acquire a set of digital labels of the sample application direction labels and the adopted sound assets that appear at the same time, and the number of historical application data of the sample digital labels that appear, recorded as the third quantity data;

[0017] The ratio of the third quantity data to the first quantity data is recorded as the application direction label-digital label forward adaptation correlation;

[0018] The ratio of the third quantity data to the second quantity data is recorded as the application direction label-digital label reverse adaptation correlation.

[0019] Preferably, the sound asset management requirements include application direction - sound asset forward management adaptation requirements and application direction - sound asset reverse management adaptation requirements;

[0020] The application direction-sound asset forward management adaptation requirement is to recommend an adapted sound asset based on the determined application direction requirement;

[0021] The application direction - sound asset reverse management adaptation requirement is to recommend an adapted application direction based on a determined sound asset.

[0022] Preferably, if the sound asset management requirement is an application direction-sound asset forward management adaptation requirement, then based on the sound asset management requirement and the adaptation correlation between each digital tag in the total set of digital tags and at least one application direction tag, determining the sound asset management solution specifically includes:

[0023] Based on the determined application direction requirement, extract at least one required application direction label;

[0024] Based on the digital tag set of each sound asset and the adaptation correlation between each digital tag and at least one application direction tag, calculating the required tag adaptation degree of each sound asset and each required application direction tag;

[0025] Based on all required application direction tags, calculate the comprehensive adaptability of each sound asset to the application direction requirements;

[0026] Filter out the sound asset with the greatest comprehensive adaptability as the adapted sound asset;

[0027] The calculation formula of the demand label adaptability is:

[0028]

[0029] In the formula, Z j The fit between the sound asset and the jth requirement’s directional label, is the positive adaptation correlation between the i-th digital label of the sound asset and the j-th required application direction label - digital label, is the application direction label-digital label reverse adaptation correlation between the i-th digital label of the sound asset and the j-th required application direction label, n is the total number of digital labels of the sound asset, and α is the correction coefficient;

[0030] The calculation formula of the comprehensive fitness is:

[0031]

[0032] In the formula, P is the comprehensive adaptability between the sound asset and the application direction requirements, β j is the emphasis weight of the application direction label of the j-th application direction requirement, and m is the total number of application direction labels of the application direction requirements.

[0033] Preferably, if the sound asset management requirement is an application direction-sound asset reverse management adaptation requirement, then based on the sound asset management requirement and the adaptation correlation between each digital tag in the total set of digital tags and at least one application direction tag, determining the sound asset management solution specifically includes:

[0034] Determine at least one target application direction that the sound asset needs to adapt to, and extract a target application direction label of the target application direction;

[0035] Based on the digital tag set of each sound asset and the adaptation correlation between each digital tag and at least one application direction tag, calculating the target tag adaptation degree of each sound asset and each target application direction tag;

[0036] Based on all target application direction labels, calculate the target suitability of the sound asset and the target application direction;

[0037] According to the order of target fitness from large to small, sort and output each target application direction in turn;

[0038] The calculation formula of the target label fitness is:

[0039]

[0040] In the formula, Z k The fit between the sound asset and the k-th requirement’s directional label, is the application direction label-digital label positive adaptation correlation between the i-th digital label of the sound asset and the k-th required application direction label, is the application direction label-digital label reverse adaptation correlation between the i-th digital label of the sound asset and the k-th required application direction label, n is the total number of digital labels of the sound asset, and α is the correction coefficient;

[0041] The calculation formula of the target fitness is:

[0042]

[0043] Where P' is the comprehensive adaptability between the sound asset and the target application direction, δ k is the emphasis weight of the kth target application direction label of the target application direction, and L is the total number of target application direction labels of the target application direction.

[0044] Furthermore, a digital tag-based sound asset intelligent management system is proposed, which is used to implement the digital tag-based sound asset intelligent management method as described above, including:

[0045] A storage module, the storage module is used to store historical management data of sound assets;

[0046] A tag analysis module, which is used to extract digital tags of all sound assets in the asset library, obtain a digital tag set for each sound asset, and obtain a union of the digital tag sets of all sound assets to obtain a total digital tag set;

[0047] A correlation analysis module, the correlation analysis module is electrically connected to the storage module and the tag analysis module, and the correlation analysis module is used to determine the adaptation correlation between each digital tag in the total set of digital tags and at least one application direction tag based on the historical management data of the sound assets;

[0048] A comprehensive management module, the comprehensive management module is electrically connected to the label analysis module and the related analysis module, the comprehensive management module is used to obtain the current sound asset management requirements, and determine the sound asset management plan based on the sound asset management requirements and the adaptation correlation between each digital label in the total set of digital labels and at least one application direction label.

[0049] Optionally, the comprehensive management module includes:

[0050] A management mode determination unit, the management mode determination unit is used to determine that the sound asset management requirement is any one of application direction - sound asset forward management adaptation requirement or application direction - sound asset reverse management adaptation requirement;

[0051] A scheme determination unit is used to determine a sound asset management scheme based on the sound asset management requirements and the adaptation correlation between each digital tag in the total set of digital tags and at least one application direction tag.

[0052] Optionally, the scheme determination unit includes:

[0053] A demand management subunit, the demand management subunit is used to determine the sound asset management solution based on the sound asset management demand and the adaptation correlation between each digital tag in the total set of digital tags and at least one application direction tag when the sound asset management demand is an application direction-sound asset forward management adaptation demand;

[0054] The asset management subunit is used to determine the sound asset management plan based on the sound asset management requirements and the adaptation correlation between each digital tag in the total set of digital tags and at least one application direction tag when the sound asset management requirement is an application direction-sound asset reverse management adaptation requirement.

[0055] Compared with the prior art, the present invention has the following beneficial effects:

[0056] The present invention proposes an intelligent management solution for sound assets based on digital tags. Based on the attributes of the sound assets, a number of data tag features are extracted from the sound assets, and then the historical management data of the sound assets are collected for analysis and learning to obtain the correlation between the data tag features and the actual sound needs. Based on the correlation between the data tag features and the actual sound needs, targeted management analysis is performed on demand-oriented asset management and recommendation-oriented asset management, respectively, thereby optimizing the management of sound assets, greatly improving the adaptability between sound assets and needs, improving the management and utilization of sound assets, and further expanding the application field and value of sound assets. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] Figure 1Flowchart of the intelligent management method of sound assets based on digital tags proposed for this solution;

[0058] Figure 2 A flow chart of a method for determining the adaptation relevance between each digital tag in the total set of digital tags and at least one application direction tag in this solution;

[0059] Figure 3 A flowchart of the method for determining the sound asset management solution when adapting to the requirements of the application direction of this solution - sound asset forward management;

[0060] Figure 4 A flowchart of the method for determining the sound asset management solution when adapting to the requirements of reverse management of sound assets in the application direction of this solution;

[0061] Figure 5 The structural diagram of the sound asset intelligent management system based on digital tags proposed for this solution;

[0062] Figure 6 The architecture diagram of the electronic equipment proposed for this solution;

[0063] Figure 7 Schematic diagram of the computer-readable storage medium structure proposed for this solution. DETAILED DESCRIPTION

[0064] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art may think of other obvious variations.

[0065] Reference Figure 1 As shown, a method for intelligent management of sound assets based on digital tags includes:

[0066] Extract the digital tags of all sound assets in the asset library to obtain the digital tag set of each sound asset;

[0067] The digital label sets of all sound assets are combined to obtain the total digital label set;

[0068] Determining, based on historical management data of the sound asset, an adaptation correlation between each digital tag in the total set of digital tags and at least one application direction tag;

[0069] The current sound asset management requirement is obtained, and a sound asset management solution is determined based on the sound asset management requirement and the adaptation correlation between each digital tag in the total set of digital tags and at least one application direction tag.

[0070] By conducting an in-depth study of the properties of sound assets, we can decompose them into a series of specific data label features. These features cover multiple dimensions of sound, such as pitch, volume, timbre, rhythm, etc. By extracting and analyzing these data label features, we can better classify sound assets. And combined with the historical management data of sound assets, we can conduct more accurate analysis and learning. In this way, we can reveal the inherent correlation between data label features and actual sound needs, and then implement the detailed management plan of sound assets.

[0071] Reference Figure 2 As shown, based on the historical management data of the sound assets, determining the adaptation relevance between each digital tag in the total set of digital tags and at least one application direction tag specifically includes:

[0072] Obtain application history data of all sound assets, and determine the historical application direction label and the digital label set of the adopted sound assets under each historical application data;

[0073] The digital label and the application direction label for calculating the adaptation correlation are respectively recorded as the sample digital label and the sample application direction label;

[0074] Obtain the number of historical application data in which the sample application direction label appears, and record it as the first quantity data;

[0075] Acquire the digital tag set of the adopted sound assets, and record the number of historical application data in which the sample digital tags appear as the second quantity data;

[0076] Acquire a set of digital labels of the sample application direction labels and the adopted sound assets that appear at the same time, and the number of historical application data of the sample digital labels that appear, recorded as the third quantity data;

[0077] The ratio of the third quantity data to the first quantity data is recorded as the application direction label-digital label forward adaptation correlation;

[0078] The ratio of the third quantity data to the second quantity data is recorded as the application direction label-digital label reverse adaptation correlation.

[0079] The sound asset management requirements include application direction - sound asset forward management adaptation requirements and application direction - sound asset reverse management adaptation requirements;

[0080] Among them, application direction - sound asset forward management adaptation requirements is to recommend adapted sound assets based on the determined application direction requirements;

[0081] Application direction - The adaptation requirements for reverse management of sound assets are to recommend the application direction for adaptation based on the determined sound assets.

[0082] It can be understood that there are two aspects of demand in the management of sound assets. One is how to select the most suitable sound assets based on the demand, and the other is how to expand the possible application areas of sound assets based on the characteristics of existing sound assets. Based on this, this plan divides the sound asset management needs into application direction-sound asset forward management adaptation needs and application direction-sound asset reverse management adaptation needs, and plans corresponding detailed management plans respectively, which greatly improves the adaptability between sound assets and needs, improves the management and utilization of sound assets, and can further expand the application areas and value of sound assets.

[0083] Reference Figure 3 As shown, if the sound asset management requirement is an application direction-sound asset forward management adaptation requirement, then based on the sound asset management requirement and the adaptation correlation between each digital tag in the total set of digital tags and at least one application direction tag, determining the sound asset management solution specifically includes:

[0084] Based on the determined application direction requirement, extract at least one required application direction label;

[0085] Based on the digital tag set of each sound asset and the adaptation correlation between each digital tag and at least one application direction tag, calculating the required tag adaptation degree of each sound asset and each required application direction tag;

[0086] Based on all required application direction tags, calculate the comprehensive adaptability of each sound asset to the application direction requirements;

[0087] Filter out the sound asset with the greatest comprehensive adaptability as the adapted sound asset;

[0088] Among them, the calculation formula of the demand label adaptability is:

[0089]

[0090] In the formula, Z j The fit between the sound asset and the jth requirement’s directional label, is the positive adaptation correlation between the i-th digital label of the sound asset and the j-th required application direction label - digital label, is the application direction label-digital label reverse adaptation correlation between the i-th digital label of the sound asset and the j-th required application direction label, n is the total number of digital labels of the sound asset, and α is the correction coefficient;

[0091] The calculation formula of comprehensive fitness is:

[0092]

[0093] In the formula, P is the comprehensive adaptability between the sound asset and the application direction requirements, β j is the emphasis weight of the application direction label of the j-th application direction requirement, and m is the total number of application direction labels of the application direction requirements.

[0094] In demand-oriented asset management, since the management goal is to select the most suitable sound assets based on demand, when calculating the adaptability of the demand tag in this solution, a correction coefficient is introduced into the reverse adaptation correlation between the application direction label and the digital label representing the digital tag and the demand application direction label. The value of the correction coefficient is 0-1. In this way, it is ensured that the comprehensive adaptability focuses more on the forward adaptation of the application direction label and the digital label.

[0095] Reference Figure 4 As shown, if the sound asset management requirement is an application direction-sound asset reverse management adaptation requirement, then based on the sound asset management requirement and the adaptation correlation between each digital tag in the total set of digital tags and at least one application direction tag, determining the sound asset management solution specifically includes:

[0096] Determine at least one target application direction that the sound asset needs to adapt to, and extract a target application direction label of the target application direction;

[0097] Based on the digital tag set of each sound asset and the adaptation correlation between each digital tag and at least one application direction tag, calculating the target tag adaptation degree of each sound asset and each target application direction tag;

[0098] Based on all target application direction labels, calculate the target suitability of the sound asset and the target application direction;

[0099] According to the order of target fitness from large to small, sort and output each target application direction in turn;

[0100] Among them, the calculation formula of the target label adaptation is:

[0101]

[0102] In the formula, Z k The fit between the sound asset and the k-th requirement’s directional label, is the application direction label-digital label positive adaptation correlation between the i-th digital label of the sound asset and the k-th required application direction label, is the application direction label-digital label reverse adaptation correlation between the i-th digital label of the sound asset and the k-th required application direction label, n is the total number of digital labels of the sound asset, and α is the correction coefficient;

[0103] The calculation formula of target fitness is:

[0104]

[0105] Where P' is the comprehensive adaptability between the sound asset and the target application direction, δ k is the emphasis weight of the kth target application direction label of the target application direction, and L is the total number of target application direction labels of the target application direction.

[0106] In recommendation-oriented asset management, since the management goal is to expand the possible application areas of sound assets based on the characteristics of existing sound assets, when calculating the adaptability of the required label in this solution, a correction coefficient is introduced into the forward adaptation correlation between the application direction label and the digital label representing the digital label and the required application direction label. The value of the correction coefficient is 0-1, and the reverse adaptation correlation representing the digital label-oriented application direction is calculated with full weight, which can effectively analyze the multiple potential application directions of the digital label of the sound asset.

[0107] Further, see Figure 5 As shown, based on the same inventive concept as the above-mentioned sound asset intelligent management method based on digital tags, this solution proposes a sound asset intelligent management system based on digital tags, including:

[0108] A storage module, the storage module is used to store historical management data of sound assets;

[0109] The tag analysis module is used to extract the digital tags of all sound assets in the asset library, obtain the digital tag set of each sound asset, and calculate the union of the digital tag sets of all sound assets to obtain the total digital tag set;

[0110] A correlation analysis module, the correlation analysis module is electrically connected to the storage module and the tag analysis module, and the correlation analysis module is used to determine the adaptation correlation between each digital tag in the total set of digital tags and at least one application direction tag based on the historical management data of the sound assets;

[0111] The comprehensive management module is electrically connected to the label analysis module and the related analysis module. The comprehensive management module is used to obtain the current sound asset management requirements and determine the sound asset management plan based on the sound asset management requirements and the adaptation correlation between each digital label in the total set of digital labels and at least one application direction label.

[0112] The comprehensive management module includes:

[0113] A management mode determination unit, the management mode determination unit is used to determine that the sound asset management requirement is any one of application direction - sound asset forward management adaptation requirement or application direction - sound asset reverse management adaptation requirement;

[0114] A scheme determination unit is used to determine a sound asset management scheme based on the sound asset management requirements and the adaptation correlation between each digital tag in the total set of digital tags and at least one application direction tag.

[0115] The program determination unit includes:

[0116] The demand management subunit is used to determine the sound asset management solution based on the sound asset management requirement and the adaptation correlation between each digital tag in the total set of digital tags and at least one application direction tag when the sound asset management requirement is an application direction-sound asset forward management adaptation requirement;

[0117] The asset management subunit is used to determine the sound asset management plan based on the sound asset management requirements and the adaptation correlation between each digital tag in the total set of digital tags and at least one application direction tag when the sound asset management requirements are application direction-sound asset reverse management adaptation requirements.

[0118] The process of using the above system is as follows:

[0119] Step 1: The tag analysis module extracts the digital tags of all sound assets in the asset library, obtains the digital tag set of each sound asset, and then calculates the union of the digital tag sets of all sound assets to obtain the total digital tag set;

[0120] Step 2: The correlation analysis module retrieves the historical management data from the storage module, and determines the adaptation correlation between each digital tag in the total set of digital tags and at least one application direction tag based on the historical management data of the sound asset;

[0121] Step 3: The management mode determination unit determines that the sound asset management requirement is any one of application direction - sound asset forward management adaptation requirement or application direction - sound asset reverse management adaptation requirement;

[0122] Step 4: If the sound asset management requirement is an application direction - sound asset forward management adaptation requirement, the solution determination unit calls the requirement management subunit to determine the sound asset management solution based on the sound asset management requirement and the adaptation correlation between each digital tag in the total set of digital tags and at least one application direction tag; if the sound asset management requirement is an application direction - sound asset reverse management adaptation requirement, the solution determination unit calls the asset management subunit to determine the sound asset management solution based on the sound asset management requirement and the adaptation correlation between each digital tag in the total set of digital tags and at least one application direction tag.

[0123] Furthermore, the method according to the embodiment of the present application can also be performed by Figure 6 The electronic device architecture shown in FIG. Figure 6As shown, the electronic device 500 may include a bus 501, one or more CPUs 502, a read-only memory (ROM) 503, a random access memory (RAM) 504, a communication port 505 connected to a network, an input / output component 506, a hard disk 507, etc. The storage device in the electronic device 500, such as the ROM 503 or the hard disk 507, may store a method for intelligent management of sound assets based on digital tags provided in the present application. The electronic device 500 may also include a user interface 508. Of course, Figure 6 The architecture shown is only exemplary and can be omitted according to actual needs when implementing different devices. Figure 6 One or more components of an electronic device are shown.

[0124] Figure 7 Schematic diagram of a computer-readable storage medium structure provided by an embodiment of the present application. Figure 7 As shown, a computer-readable storage medium 600 according to an embodiment of the present application is shown. Computer-readable instructions are stored on the computer-readable storage medium 600. When the computer-readable instructions are executed by the processor, the sound asset intelligent management method based on digital tags according to the embodiment of the present application described with reference to the above figures can be executed. The storage medium 600 includes, but is not limited to, for example, volatile memory and / or non-volatile memory. Volatile memory may include, for example, random access memory (RAM) and cache memory (cache), etc. Non-volatile memory may include, for example, read-only memory (ROM), hard disk, flash memory, etc.

[0125] In summary, the advantages of the present invention are: optimizing the management of sound assets, greatly improving the adaptability between sound assets and needs, improving the management and utilization of sound assets, and further expanding the application areas and value of sound assets.

[0126] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions only describe the principles of the present invention. The present invention may be subject to various changes and improvements without departing from the spirit and scope of the present invention. These changes and improvements fall within the scope of the present invention. The scope of protection claimed by the present invention is defined by the attached claims and their equivalents.

Claims

1. A method for intelligent management of sound assets based on digital tags, characterized in that: include: Extract the digital tags of all sound assets in the asset library to obtain the digital tag set of each sound asset; The digital label sets of all sound assets are combined to obtain the total digital label set; Determining, based on historical management data of the sound asset, an adaptation correlation between each digital tag in the total set of digital tags and at least one application direction tag; The current sound asset management requirement is obtained, and a sound asset management solution is determined based on the sound asset management requirement and the adaptation correlation between each digital tag in the total set of digital tags and at least one application direction tag.

2. The method for intelligent management of sound assets based on digital tags according to claim 1, characterized in that: The determining, based on the historical management data of the sound assets, the adaptation relevance between each digital tag in the total set of digital tags and at least one application direction tag specifically includes: Obtain application history data of all sound assets, and determine the historical application direction label and the digital label set of the adopted sound assets under each historical application data; The digital label and the application direction label for calculating the adaptation correlation are respectively recorded as the sample digital label and the sample application direction label; Obtain the number of historical application data in which the sample application direction label appears, and record it as the first quantity data; Acquire the digital tag set of the adopted sound assets, and record the number of historical application data in which the sample digital tags appear as the second quantity data; Acquire a set of digital labels of the sample application direction labels and the adopted sound assets that appear at the same time, and the number of historical application data of the sample digital labels that appear, recorded as the third quantity data; The ratio of the third quantity data to the first quantity data is recorded as the application direction label-digital label forward adaptation correlation; The ratio of the third quantity data to the second quantity data is recorded as the application direction label-digital label reverse adaptation correlation.

3. The method for intelligent management of sound assets based on digital tags according to claim 2, characterized in that: The sound asset management requirements include application direction - sound asset forward management adaptation requirements and application direction - sound asset reverse management adaptation requirements; The application direction-sound asset forward management adaptation requirement is to recommend an adapted sound asset based on the determined application direction requirement; The application direction - sound asset reverse management adaptation requirement is to recommend an adapted application direction based on a determined sound asset.

4. The method for intelligent management of sound assets based on digital tags according to claim 3 is characterized in that: If the sound asset management requirement is an application direction-sound asset forward management adaptation requirement, then based on the sound asset management requirement and the adaptation correlation between each digital tag in the total set of digital tags and at least one application direction tag, determining the sound asset management solution specifically includes: Based on the determined application direction requirement, extract at least one required application direction label; Based on the digital tag set of each sound asset and the adaptation correlation between each digital tag and at least one application direction tag, calculating the required tag adaptation degree of each sound asset and each required application direction tag; Based on all required application direction tags, calculate the comprehensive adaptability of each sound asset to the application direction requirements; Filter out the sound asset with the greatest comprehensive adaptability as the adapted sound asset; The calculation formula of the demand label adaptability is: In the formula, Z j The fit between the sound asset and the jth requirement’s directional label, is the positive adaptation correlation between the i-th digital label of the sound asset and the j-th required application direction label - digital label, is the application direction label-digital label reverse adaptation correlation between the i-th digital label of the sound asset and the j-th required application direction label, n is the total number of digital labels of the sound asset, and α is the correction coefficient; The calculation formula of the comprehensive fitness is: In the formula, P is the comprehensive adaptability between the sound asset and the application direction requirements, β j is the emphasis weight of the application direction label of the j-th application direction requirement, and m is the total number of application direction labels of the application direction requirements.

5. The method for intelligent management of sound assets based on digital tags according to claim 3 is characterized in that: If the sound asset management requirement is an application direction-sound asset reverse management adaptation requirement, then based on the sound asset management requirement and the adaptation correlation between each digital tag in the total set of digital tags and at least one application direction tag, determining the sound asset management solution specifically includes: Determine at least one target application direction that the sound asset needs to adapt to, and extract a target application direction label of the target application direction; Based on the digital tag set of each sound asset and the adaptation correlation between each digital tag and at least one application direction tag, calculating the target tag adaptation degree of each sound asset and each target application direction tag; Based on all target application direction labels, calculate the target suitability of the sound asset and the target application direction; According to the order of target fitness from large to small, sort and output each target application direction in turn; The calculation formula of the target label fitness is: In the formula, Z k The fit between the sound asset and the k-th requirement’s directional label, is the application direction label-digital label positive adaptation correlation between the i-th digital label of the sound asset and the k-th required application direction label, is the application direction label-digital label reverse adaptation correlation between the i-th digital label of the sound asset and the k-th required application direction label, n is the total number of digital labels of the sound asset, and α is the correction coefficient; The calculation formula of the target fitness is: Where P' is the comprehensive adaptability between the sound asset and the target application direction, δ k is the emphasis weight of the kth target application direction label of the target application direction, and L is the total number of target application direction labels of the target application direction.

6. An intelligent management system for sound assets based on digital tags, characterized in that: The method for intelligently managing sound assets based on digital tags according to any one of claims 1 to 5 comprises: A storage module, the storage module is used to store historical management data of sound assets; A tag analysis module, which is used to extract digital tags of all sound assets in the asset library, obtain a digital tag set for each sound asset, and obtain a union of the digital tag sets of all sound assets to obtain a total digital tag set; A correlation analysis module, the correlation analysis module is electrically connected to the storage module and the tag analysis module, and the correlation analysis module is used to determine the adaptation correlation between each digital tag in the total set of digital tags and at least one application direction tag based on the historical management data of the sound assets; A comprehensive management module, the comprehensive management module is electrically connected to the label analysis module and the related analysis module, the comprehensive management module is used to obtain the current sound asset management requirements, and determine the sound asset management plan based on the sound asset management requirements and the adaptation correlation between each digital label in the total set of digital labels and at least one application direction label.

7. The sound asset intelligent management system based on digital tags according to claim 6 is characterized in that: The comprehensive management module includes: A management mode determination unit, the management mode determination unit is used to determine that the sound asset management requirement is any one of application direction - sound asset forward management adaptation requirement or application direction - sound asset reverse management adaptation requirement; A scheme determination unit is used to determine a sound asset management scheme based on the sound asset management requirements and the adaptation correlation between each digital tag in the total set of digital tags and at least one application direction tag.

8. The sound asset intelligent management system based on digital tags according to claim 7 is characterized in that: The scheme determination unit comprises: A demand management subunit, the demand management subunit is used to determine the sound asset management solution based on the sound asset management demand and the adaptation correlation between each digital tag in the total set of digital tags and at least one application direction tag when the sound asset management demand is an application direction-sound asset forward management adaptation demand; The asset management subunit is used to determine the sound asset management plan based on the sound asset management requirements and the adaptation correlation between each digital tag in the total set of digital tags and at least one application direction tag when the sound asset management requirement is an application direction-sound asset reverse management adaptation requirement.

9. An electronic device, characterized in that: include: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the digital tag-based sound asset intelligent management method as described in any one of claims 1-5.

10. A computer-readable storage medium having a computer-readable program stored thereon, characterized in that: When the computer-readable program is executed by a processor, the method for intelligent management of sound assets based on digital tags described in any one of claims 1 to 5 is implemented.

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