Intelligent user-defined chart generation method

Abstract

The invention discloses an intelligent user-defined chart generation method, which comprises the following steps of: receiving a starting instruction, unfolding a user interface, and starting a microphone to start to collect an audio stream; performing voice recognition on the audio stream through a natural voice algorithm and a language instruction algorithm to generate a chart instruction; according to the intelligent user-defined chart generation method, the voice signal is recognized through the algorithm, the chart instruction is generated based on the voice signal, the corresponding chart is generated on the user interface based on the chart instruction, the interface is clean and clear, voice input operation is convenient, and use of a user is greatly facilitated.

Description

Technical Field

[0001] The present invention relates to the technical field of charts, and in particular to an intelligent custom chart generation method. Background Art

[0002] Existing chart generation tools lack flexibility. Users are often limited to preset options and usually select generation options with the help of a mouse or touch screen. The interface is complex and the operation is inconvenient. Summary of the invention

[0003] In order to solve the deficiencies in the prior art, the present invention provides an intelligent custom chart generation method. The intelligent custom chart generation method recognizes voice signals through algorithms, generates chart instructions based on the voice signals, and generates corresponding charts on the user interface based on the chart instructions. The interface is clean and clear, and voice input operation is convenient, which greatly facilitates user use.

[0004] To achieve the above object, the present invention adopts the following technical solution:

[0005] The present invention provides an intelligent custom chart generation method, comprising the following steps:

[0006] Receive the start command, launch the user interface, and start the microphone to start collecting audio streams;

[0007] Through natural speech algorithm and language instruction algorithm, the audio stream is recognized and chart instructions are generated;

[0008] Generate charts in the user interface based on chart instructions.

[0009] The intelligent custom chart generation method of the present invention directly generates charts by inputting commands through voice. After the chart commands are recognized and analyzed, the chart is generated in the user interface according to the chart commands. Compared with the traditional complicated method of clicking command icons, the user interface of this method is simple and clean, the chart display is intuitive, the input method is simple, and it is extremely user-friendly.

[0010] The intelligent custom chart generation method of the present invention recognizes voice signals through algorithms, generates chart instructions based on the voice signals, and generates corresponding charts on the user interface based on the chart instructions. The interface is clean and clear, and voice input operation is convenient, which greatly facilitates user use.

[0011] In a further technical solution, the charts include line graphs, bar graphs, scatter graphs, pie charts, candlestick graphs, box graphs, maps, heat maps, line graphs, relationship graphs, treemaps, sunburst graphs, parallel coordinates, funnel graphs, and dashboards.

[0012] This method has a variety of chart styles that can be generated to meet the needs of various users.

[0013] In a further technical solution, the chart instruction also includes the color, size, font, data source and style of the chart.

[0014] This method can not only generate charts that meet user needs, but also beautify and adjust the charts according to user needs.

[0015] In a further technical solution, the following steps are also included:

[0016] Renders the chart using a beautification algorithm based on the chart directive.

[0017] In addition to beautification based on user instructions, this method also has a built-in beautification algorithm to render the generated charts, making the displayed charts more beautiful.

[0018] In a further technical solution, the following steps are also included:

[0019] Adjust the language instruction algorithm through deep learning model.

[0020] The voice command algorithm is adjusted based on the deep learning model to further improve the accuracy of speech recognition.

[0021] In a further technical solution, the following steps are also included:

[0022] Receive user instructions and generate chart code.

[0023] The present invention also has a one-key code generation function, which can reduce the workload of front-end engineers.

[0024] In a further technical solution, the following steps are also included:

[0025] The voice command algorithm includes a hidden Markov model, a Bayesian network or other probabilistic graphical model, an acoustic model, and a language model.

[0026] Through multiple models, the voice command algorithm of this method has higher recognition accuracy.

[0027] In a further technical solution, the following steps are also included:

[0028] The beautification algorithms include image enhancement algorithms through deep learning and image enhancement algorithms based on local contrast.

[0029] The present invention combines multiple methods to achieve the best image enhancement effect.

[0030] The beneficial effects are:

[0031] 1. The intelligent custom chart generation method of the present invention recognizes voice signals through algorithms, generates chart instructions based on the voice signals, and generates corresponding charts on the user interface based on the chart instructions. The interface is clean and clear, and the voice input operation is convenient, which greatly facilitates user use.

[0032] 2. This method has a variety of chart styles that can be generated to meet the needs of various users.

[0033] 3. This method can not only generate charts that meet user needs, but also beautify and adjust the charts according to user needs.

[0034] 4. In addition to beautification based on user instructions, this method also has a built-in beautification algorithm to render the generated charts, making the displayed charts more beautiful.

[0035] 5. The voice command algorithm is adjusted based on the deep learning model to further improve the accuracy of speech recognition.

[0036] 6. The present invention also has a one-key code generation function, which can reduce the workload of front-end engineers.

[0037] 7. Through multiple models, the voice command algorithm of this method has higher recognition accuracy.

[0038] 8. The present invention combines multiple methods to achieve the best image enhancement effect. DETAILED DESCRIPTION

[0039] The present invention will be further described below:

[0040] Example:

[0041] An intelligent custom chart generation method comprises the following steps:

[0042] Receive the start command, launch the user interface, and start the microphone to start collecting audio streams;

[0043] Through the natural language algorithm (NLP algorithm) and language instruction algorithm, the audio stream is recognized and the chart instructions are generated;

[0044] Generate charts in the user interface based on chart instructions.

[0045] The intelligent custom chart generation method of the present invention directly generates charts by inputting commands through voice. After the chart commands are recognized and analyzed, the chart is generated in the user interface according to the chart commands. Compared with the traditional complicated method of clicking command icons, the user interface of this method is simple and clean, the chart display is intuitive, the input method is simple, and it is extremely user-friendly.

[0046] The intelligent custom chart generation method of the present invention recognizes voice signals through algorithms, generates chart instructions based on the voice signals, and generates corresponding charts on the user interface based on the chart instructions. The interface is clean and clear, and voice input operation is convenient, which greatly facilitates user use.

[0047] In another embodiment, the charts include line graphs, bar graphs, scatter graphs, pie charts, candlestick charts, box plots, maps, heat maps, line graphs, relationship graphs, treemaps, sunburst graphs, parallel coordinates, funnel charts, and dashboards.

[0048] This method has a variety of chart styles that can be generated to meet the needs of various users.

[0049] In another embodiment, the chart instructions also include the color, size, font, data source and style of the chart.

[0050] This method can not only generate charts that meet user needs, but also beautify and adjust the charts according to user needs.

[0051] In another embodiment, the following steps are also included:

[0052] Renders the chart using a beautification algorithm based on the chart directive.

[0053] In addition to beautification based on user instructions, this method also has a built-in beautification algorithm to render the generated charts, making the displayed charts more beautiful.

[0054] In another embodiment, the following steps are also included:

[0055] Adjust the language instruction algorithm through deep learning model.

[0056] The voice command algorithm is adjusted based on the deep learning model to further improve the accuracy of speech recognition.

[0057] In another embodiment, the following steps are also included:

[0058] Receive user instructions and generate chart code.

[0059] The present invention also has a one-key code generation function, which can reduce the workload of front-end engineers.

[0060] In another embodiment, the following steps are also included:

[0061] The voice command algorithm includes a hidden Markov model, a Bayesian network or other probabilistic graphical model, an acoustic model, and a language model.

[0062] Through multiple models, the voice command algorithm of this method has higher recognition accuracy.

[0063] In another embodiment, the following steps are also included:

[0064] The beautification algorithms include an image enhancement algorithm based on deep learning (CNN algorithm) and an image enhancement algorithm based on local contrast (CLAHE algorithm).

[0065] The present invention combines multiple methods to achieve the best image enhancement effect.

[0066] In another embodiment, the present invention further comprises the following steps:

[0067] When generating charts, chart types, colors, and styles are recommended to users based on intelligent algorithms.

[0068] Based on the user's voice signal, the method of directly generating charts by relying on instructions is abandoned. A variety of possible chart options are provided to the user, which maximizes the guarantee of achieving the desired effect of the user, and modifies the algorithm based on the user's choice, that is, continuously improving the accuracy during use.

[0069] 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, and the above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, and these changes and improvements all fall within the scope of the present invention to be protected.

Claims

1. An intelligent custom chart generation method, characterized in that: The following steps are involved: Receive the start command, launch the user interface, and start the microphone to start collecting audio streams; Through natural speech algorithm and language instruction algorithm, the audio stream is recognized and chart instructions are generated; Generate charts in the user interface based on chart instructions.

2. The intelligent custom chart generation method according to claim 1, characterized in that: The charts include line charts, bar charts, scatter charts, pie charts, candlestick charts, box plots, maps, heat maps, line graphs, relationship graphs, treemaps, sunburst charts, parallel coordinates, funnel charts, and dashboards.

3. The intelligent custom chart generation method according to claim 1, characterized in that: The chart instructions also include the color, size, font, data source and style of the chart.

4. The intelligent custom chart generation method according to claim 3, characterized in that: The following steps are also included: Renders the chart using a beautification algorithm based on the chart directive.

5. The intelligent custom chart generation method according to claim 1, characterized in that: The following steps are also included: Adjust the language instruction algorithm through deep learning model.

6. The intelligent custom chart generation method according to claim 1, characterized in that: The following steps are also included: Receive user instructions and generate chart code.

7. The intelligent custom chart generation method according to claim 1, characterized in that: The following steps are also included: The voice command algorithm includes a hidden Markov model, a Bayesian network or other probabilistic graphical model, an acoustic model, and a language model.