CN114944163A - Data interaction system based on artificial intelligence algorithm - Google Patents
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- G10L21/00—Speech or voice signal processing techniques to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
- G10L21/02—Speech enhancement, e.g. noise reduction or echo cancellation
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Abstract
The invention discloses a data interaction system based on an artificial intelligence algorithm, relates to the technical field of data interaction, and solves the technical problems that the denoising of voice data is not thorough and the encryption processing of algorithm data is not performed; performing box storage processing on the extracted voice data, measuring and calculating by the processing terminal according to the data capacity of the corresponding box, comparing the measured value with the internal point value of the threshold terminal, selecting the denoising frequency according to the comparison result, and changing the denoising frequency; cutting the algorithm data through K lines, generating a plurality of data streams, dividing the plurality of data streams by adopting an odd number section and an even number section, simultaneously, when the data streams are transmitted to a designated terminal, integrating the plurality of data streams through a memory terminal, generating the algorithm data, transmitting the divided data by adopting different data channels, and transmitting the divided data to a corresponding equipment terminal, thereby effectively avoiding the theft of external personnel to the algorithm data of artificial intelligence.
Description
Technical Field
The invention belongs to the technical field of data interaction, and particularly relates to a data interaction system based on an artificial intelligence algorithm.
Background
Artificial intelligence, abbreviated as AI in english, is a new technical science for studying and developing theories, methods, techniques and application systems for simulating, extending and expanding human intelligence.
In the process of algorithm data interaction, data interaction is not in two forms, one is voice interaction for external personnel, the other is change interaction between internal algorithm data and a cloud end, in the process of voice interaction, the artificial intelligence recognition effect is poor due to incomplete voice denoising, and in the process of algorithm data interaction, data is not encrypted, so that algorithm data is easily stolen by external personnel in the transmission process, and data loss is caused.
Disclosure of Invention
The present invention is directed to solving at least one of the problems of the prior art; therefore, the invention provides a data interaction system based on an artificial intelligence algorithm, which is used for solving the technical problems that in the voice interaction process, the artificial intelligence recognition effect is poor due to incomplete voice denoising, and in the algorithm data interaction process, the algorithm data is easily stolen by external personnel in the transmission process due to the fact that the data is not encrypted, so that the data is lost.
In order to achieve the above object, an embodiment according to a first aspect of the present invention provides an artificial intelligence algorithm based data interaction system, which includes an external data acquisition end, a processing server, an internal data acquisition end, and a data transmission end;
the external data acquisition end is used for acquiring data interacted between external personnel and the artificial intelligence, the acquired data is voice data, and the voice data is transmitted into the processing server;
the internal data acquisition end is used for acquiring algorithm data interacted between the artificial intelligence and the cloud end and transmitting the acquired algorithm data to the processing server;
the processing server comprises a data identification end, a box storage end, a processing terminal, a threshold value terminal and a denoising terminal, wherein the data identification end is used for identifying voice data or algorithm data, the data identification end transmits the voice data into the box storage end and directly transmits the algorithm data into the processing terminal, the box storage end is used for storing a plurality of different types of data of the voice data, the processing terminal processes the voice data to obtain a processing value, compares the processing value with a threshold value in the threshold value terminal and selects denoising frequency in the denoising terminal according to a comparison result, the processing terminal transmits and encrypts the algorithm data by adopting a data cutting sub-channel, and the data transmission end is used for transmitting the algorithm data.
Preferably, the voice data includes propagation data, computational data, and noise data.
Preferably, a plurality of sub-storage data boxes are arranged in the sub-box storage end, data identification marks are arranged at the outer ends of the sub-storage data boxes, the propagation data, the calculation data and the noise data are identified through different data identification marks, different data are stored in different sub-storage data boxes, the noise data further comprise the noise data of the last second, and two sets of threshold values X and Y are arranged in the threshold value terminal.
Preferably, the processing terminal processes the voice data as follows: the processing terminal extracts the data capacity of different bins, marks the bin capacity data for storing the propagation data as CB, marks the bin capacity data for storing the computational power data as SL, and marks the bin capacity data for storing the noise data as CC;
by using
Obtaining a processing value CL, wherein C1, C2 and C3 are all preset fixed coefficient factors,
a correction factor, value 0.97863;
when the processing value CL is less than or equal to X, the threshold terminal generates a low-frequency denoising signal and transmits the low-frequency denoising signal into the processing terminal; when the processing value X is less than CL and less than Y, the threshold terminal generates a medium-frequency de-noising signal and transmits the medium-frequency de-noising signal to the processing terminal; when the processing value X is larger than or equal to Y, the threshold terminal generates a high-frequency denoising signal, and the high-frequency denoising signal is transmitted into the processing terminal;
and the processing terminal controls the denoising terminal according to the received denoising signal and changes the output frequency of the denoising terminal.
Preferably, the step of the processing terminal performing data cutting and channel division transmission encryption processing on the algorithm data is as follows: binding MAC address data and identity data in the algorithm data to generate a binding tag data packet, then segmenting the algorithm data, taking K lines as a fixed value, cutting the algorithm data into N segments through a set K value, binding the N segments of data streams with corresponding digital tags, using the adopted digital tags as positive integers, respectively extracting corresponding odd segments or even segments, and generating corresponding odd data packets and even data packets;
the processing terminal generates corresponding identification marks when the algorithm data are segmented, the identification marks are bundled with the data stream, and meanwhile, corresponding memory terminals are generated and used for identifying, extracting and arranging the identification marks, and corresponding identification mark arrangement sequences are stored in the memory terminals;
the data transmission end binds the memory terminal generated by the corresponding algorithm data with the binding mark data packet, and transmits the data by adopting an A group channel, transmits the data by adopting a B group channel, and transmits the data by adopting a C group channel;
when the algorithm data is transmitted to the terminal with the appointed MAC address, the memory terminal is started in advance, and data streams in odd-numbered data packets and even-numbered data packets are arranged and integrated according to the identification mark arrangement sequence to generate corresponding algorithm data.
Preferably, the A, B, C are three different sets of network channels for transmitting the algorithm data stream.
Compared with the prior art, the invention has the beneficial effects that: when the artificial intelligence interacts voice data with external personnel, firstly, different data in the voice data are extracted, the extracted data are subjected to box storage processing, a processing terminal carries out measurement and calculation according to the data capacity of corresponding boxes, then, the measured value is compared with the internal point value of a threshold terminal, the denoising frequency is selected according to the comparison result, the denoising frequency is changed, the denoising effect is improved, the whole voice data are subjected to full denoising processing, the artificial intelligence rapidly recognizes the voice data, and the recognition effect is improved;
at first, it cuts to the algorithm data through K number of lines, generate a plurality of data flow, adopt odd number section and even number section to cut apart a plurality of data flow, the memory effect of memory terminal is passed through to the data flow after cutting apart, can not cause the confusion, and simultaneously, when data flow transmission arrives appointed terminal, the memory terminal is integrated to a plurality of data flows, generate algorithm data, the data after accomplishing the cutting apart adopt different data channel to transmit, after transmitting to corresponding equipment terminal, promote the security among the data interaction process, effectively avoided outside personnel to steal the algorithm data of artificial intelligence.
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Fig. 1 is a schematic diagram of the principle of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the present application provides an artificial intelligence algorithm-based data interaction system, which includes an external data acquisition end, a processing server, an internal data acquisition end, and a data transmission end;
the external data acquisition end output end is electrically connected with the processing server input end, the internal data acquisition end output end is electrically connected with the processing server input end, and the processing server output end is electrically connected with the data transmission end input end;
the processing server comprises a data identification end, a box storage end, a processing terminal, a threshold terminal and a denoising terminal;
the output end of the data identification end is electrically connected with the box separation storage end and the input end of the processing terminal respectively, the box separation storage end is in bidirectional connection with the processing terminal, the processing terminal is in bidirectional connection with the threshold value terminal, and the output end of the processing terminal is electrically connected with the input end of the de-noising terminal;
the external data acquisition terminal is used for acquiring data interacted between external personnel and the artificial intelligence, the acquired data is voice data, and the voice data is transmitted into the processing server;
the internal data acquisition terminal is used for acquiring algorithm data interacted between the artificial intelligence and the cloud end and transmitting the acquired algorithm data to the processing server;
the data identification terminal is used for identifying voice data or algorithm data, transmitting different data through different channels, transmitting the voice data into the box storage terminal and directly transmitting the algorithm data into the processing terminal;
the device comprises a box storage end, a plurality of sub-storage data boxes and a plurality of noise data processing units, wherein the box storage end is internally provided with the plurality of sub-storage data boxes, the outer ends of the plurality of sub-storage data boxes are respectively provided with a data identification mark, the transmission data, the calculation power data and the noise data are identified through different data identification marks, different data are stored in different sub-storage data boxes, the noise data further comprise noise data of the last second, and in order to extract the noise data of the last second in the denoising process, the denoising processing effect is improved in the denoising process;
the processing terminal is used for processing and calculating the propagation data, the calculation power data and the noise data in different sub-storage data boxes, comparing the processed values with the internal threshold value of the threshold terminal, and selecting the denoising frequency in the denoising terminal according to the comparison result to improve the denoising processing effect;
the processing terminal performs processing calculation according to the following steps:
s1, the processing terminal extracts the data capacity of different boxes, marks the box capacity data for storing the propagation data as CB, marks the box capacity data for storing the computational power data as SL, and marks the box capacity data for storing the noise data as CC;
s2, adopting
Obtaining a processing value CL, wherein C1, C2 and C3 are all preset fixed coefficient factors,
the value is 0.97863 for the correction factor, and the processing value CL is transmitted into the threshold terminal;
s3, two groups of threshold values X and Y are arranged in the threshold value terminal, and the values of X and Y are drawn up by experience of operators;
s4, when the processing value CL is less than or equal to X, the threshold terminal generates a low-frequency denoising signal and transmits the low-frequency denoising signal to the processing terminal; when the processing value X is less than CL and less than Y, the threshold terminal generates a medium-frequency de-noising signal and transmits the medium-frequency de-noising signal to the processing terminal; when the processing value X is larger than or equal to Y, the threshold terminal generates a high-frequency denoising signal, and the high-frequency denoising signal is transmitted into the processing terminal;
s5, the processing terminal controls the denoising terminal according to the received denoising signal, changes the output frequency of the denoising terminal, denoises the voice data interacted between external personnel and artificial intelligence, and transmits the denoised data through the data transmission end;
when the artificial intelligence interacts with external personnel to carry out voice data, different data in the voice data are extracted firstly, the extracted data are subjected to box dividing storage processing, the processing terminal carries out measurement and calculation according to the data capacity corresponding to box dividing, the measured and calculated values are compared with the internal point values of the threshold terminal, the denoising frequency is selected according to the comparison result, the denoising frequency is changed, the denoising effect is improved, the whole voice data are subjected to sufficient denoising processing, the artificial intelligence rapidly identifies the voice data, and the identification effect is improved.
The data identification terminal directly transmits the algorithm data to the processing terminal when identifying the corresponding algorithm data, the processing data encrypts the algorithm data, and the encrypted data is transmitted through the data transmission terminal;
the method comprises the following steps that a processing terminal encrypts algorithm data:
w1, binding MAC address data and identity data in algorithm data to generate a binding tag data packet, dividing the algorithm data to be a fixed value by taking K line numbers as fixed values, wherein the K line numbers are drawn by an operator according to experience, cutting the algorithm data into N sections by the set K value, binding the N sections of data streams with corresponding digital tags, respectively extracting corresponding odd sections or even sections by the adopted digital tags as positive integers, and generating corresponding odd number data packets and even number data packets;
w2, the processing terminal generates corresponding identification tags when performing segmentation processing on the algorithm data, the identification tags are bundled with the data stream, and corresponding memory terminals are generated, the memory terminals are used for performing identification extraction and arrangement processing on the identification tags, and the memory terminals store corresponding identification tag arrangement sequences, for example: raw algorithm data is 1 i 、2 i 、……、n i The odd-numbered data packet internally includes 1 i 、3 i 、……、n-1 i The even number of data packets include 2 i 、4 i 、……、n i Wherein i is the set identification mark;
w3, binding a memory terminal generated by corresponding algorithm data with a binding mark data packet by a data transmission terminal, and transmitting by adopting an A group channel, transmitting odd-numbered data packets by adopting a B group channel, and transmitting even-numbered data packets by adopting a C group channel, wherein A, B, C is three groups of different network channels for transmitting algorithm data flow;
w4, when algorithm data is transmitted to a terminal with a designated MAC address, the memory terminal is started in advance, and data streams in odd-numbered data packets and even-numbered data packets are arranged and integrated according to the identification mark arrangement sequence to generate corresponding algorithm data.
Adopt this kind of mode to carry out algorithm data encryption processing, at first, cut algorithm data through K number of lines, generate a plurality of data stream, adopt odd number section and even number section to cut apart a plurality of data stream, the memory effect of memory terminal is passed through to the data stream after cutting apart, can not cause the confusion, and simultaneously, when data stream transmits to appointed terminal, the memory terminal integrates a plurality of data streams, generate algorithm data, the data after accomplishing the cutting apart adopts different data channel to transmit, transmit to corresponding equipment terminal after, promote the security among the data interaction process, the algorithm data of effectively having avoided outside personnel to artificial intelligence to steal.
Part of data in the formula is obtained by removing dimension and taking the value to calculate, and the formula is obtained by simulating a large amount of collected data through software and is closest to a real situation; the preset parameters and the preset threshold values in the formula are set by those skilled in the art according to actual conditions or obtained through simulation of a large amount of data.
The working principle of the invention is as follows: when the artificial intelligence interacts voice data with external personnel, firstly, different data in the voice data are extracted, the extracted data are subjected to box storage processing, a processing terminal carries out measurement and calculation according to the data capacity of corresponding boxes, then, the measured value is compared with the internal point value of a threshold terminal, the denoising frequency is selected according to the comparison result, the denoising frequency is changed, the denoising effect is improved, the whole voice data are subjected to full denoising processing, the artificial intelligence rapidly recognizes the voice data, and the recognition effect is improved;
at first, it cuts to the algorithm data through K number of lines, generate a plurality of data flow, adopt odd number section and even number section to cut apart a plurality of data flow, the memory effect of memory terminal is passed through to the data flow after cutting apart, can not cause the confusion, and simultaneously, when data flow transmission arrives appointed terminal, the memory terminal is integrated to a plurality of data flows, generate algorithm data, the data after accomplishing the cutting apart adopt different data channel to transmit, after transmitting to corresponding equipment terminal, promote the security among the data interaction process, effectively avoided outside personnel to steal the algorithm data of artificial intelligence.
Although the present invention has been described in detail with reference to the preferred embodiments, it will be understood by those skilled in the art that various changes may be made and equivalents may be substituted for elements thereof without departing from the spirit and scope of the present invention.
Claims (6)
1. The data interaction system based on the artificial intelligence algorithm is characterized by comprising an external data acquisition end, a processing server, an internal data acquisition end and a data transmission end;
the external data acquisition end is used for acquiring data interacted between external personnel and the artificial intelligence, the acquired data is voice data, and the voice data is transmitted into the processing server;
the internal data acquisition end is used for acquiring algorithm data interacted between the artificial intelligence and the cloud end and transmitting the acquired algorithm data to the processing server;
the processing server comprises a data identification end, a box storage end, a processing terminal, a threshold terminal and a denoising terminal, wherein the data identification end is used for identifying voice data or algorithm data, the data identification end transmits the voice data into the box storage end and directly transmits the algorithm data into the processing terminal, the box storage end is used for storing a plurality of different types of data of the voice data, the processing terminal is used for processing the voice data to obtain a processing value, the processing value is compared with a threshold value in the threshold terminal, denoising frequency in the denoising terminal is selected according to a comparison result, the processing terminal performs data cutting and channel division transmission encryption processing on the algorithm data, and the data transmission end is used for transmitting the algorithm data.
2. The artificial intelligence algorithm-based data interaction system of claim 1, wherein the speech data comprises propagation data, computational power data, and noise data.
3. The artificial intelligence algorithm-based data interaction system of claim 2, wherein a plurality of sub-storage data boxes are arranged inside the sub-storage end, data identification marks are arranged at the outer ends of the sub-storage data boxes, propagation data, computational power data and noise data are identified through different data identification marks, different data are stored in different sub-storage data boxes, the noise data further comprise noise data of the last second, and two sets of threshold values X and Y are arranged inside the threshold value terminal.
4. The artificial intelligence algorithm-based data interaction system of claim 3, wherein the processing terminal processes the voice data as follows: the processing terminal extracts the data capacity of different bins, marks the bin capacity data for storing the propagation data as CB, marks the bin capacity data for storing the computational power data as SL, and marks the bin capacity data for storing the noise data as CC;
by using
Obtaining a processing value CL, wherein C1, C2 and C3 are all preset fixed coefficient factors,
a correction factor, value 0.97863;
when the processing value CL is less than or equal to X, the threshold terminal generates a low-frequency denoising signal and transmits the low-frequency denoising signal into the processing terminal; when the processing value X is larger than CL and smaller than Y, the threshold terminal generates a medium frequency de-noising signal and transmits the medium frequency de-noising signal to the processing terminal; when the processing value X is larger than or equal to Y, the threshold terminal generates a high-frequency denoising signal, and the high-frequency denoising signal is transmitted into the processing terminal;
and the processing terminal controls the denoising terminal according to the received denoising signal and changes the output frequency of the denoising terminal.
5. The artificial intelligence algorithm-based data interaction system of claim 1, wherein the processing terminal performs data segmentation and channel division transmission encryption processing on the algorithm data, and the processing terminal comprises: binding MAC address data and identity data in the algorithm data to generate a binding tag data packet, dividing the algorithm data, taking K lines as a fixed value, cutting the algorithm data into N segments through a set K value, binding the N segments of data streams and corresponding digital tags, taking the adopted digital tags as positive integers, respectively extracting corresponding odd segments or even segments, and generating corresponding odd data packets and even data packets;
the processing terminal generates corresponding identification marks when the algorithm data are segmented, the identification marks are bundled with the data stream, and meanwhile, corresponding memory terminals are generated and used for identifying, extracting and arranging the identification marks, and corresponding identification mark arrangement sequences are stored in the memory terminals;
the data transmission end binds the memory terminal generated by the corresponding algorithm data with the binding mark data packet, and transmits the data by adopting an A group channel, transmits the data by adopting a B group channel, and transmits the data by adopting a C group channel;
when the algorithm data is transmitted to the terminal with the appointed MAC address, the memory terminal is started in advance, and data streams in odd-numbered data packets and even-numbered data packets are arranged and integrated according to the identification mark arrangement sequence to generate corresponding algorithm data.
6. The artificial intelligence algorithm-based data interaction system of claim 5, wherein said A, B, C are three different sets of network channels for transmitting algorithm data stream.
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| CN111526148A (en) * | 2020-04-26 | 2020-08-11 | 中山大学 | System and method for safely denoising encrypted audio in cloud computing environment |
| CN113472806A (en) * | 2021-07-14 | 2021-10-01 | 斑马网络技术有限公司 | Voice interaction method, device, system, equipment and storage medium for protecting privacy |
| US20220111294A1 (en) * | 2020-10-14 | 2022-04-14 | Sony Interactive Entertainment Inc. | Apparatus and method for audio data analysis |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109545220A (en) * | 2019-01-15 | 2019-03-29 | 安徽大尺度网络传媒有限公司 | A kind of artificial intelligent voice identifying system |
| CN111526148A (en) * | 2020-04-26 | 2020-08-11 | 中山大学 | System and method for safely denoising encrypted audio in cloud computing environment |
| US20220111294A1 (en) * | 2020-10-14 | 2022-04-14 | Sony Interactive Entertainment Inc. | Apparatus and method for audio data analysis |
| CN113472806A (en) * | 2021-07-14 | 2021-10-01 | 斑马网络技术有限公司 | Voice interaction method, device, system, equipment and storage medium for protecting privacy |
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