CN117221016B - Data security transmission method in remote connection process - Google Patents
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Abstract
The invention relates to the technical field of digital information transmission, in particular to a data security transmission method in a remote connection process, which comprises the following steps: acquiring an audio data sequence to be transmitted corresponding to a remote connection process, and equally dividing the audio data sequence to be transmitted; determining the integral characterization data corresponding to each sub-transmission segment; screening out a transmission segment to be corrected for representing the suspected text center audio; carrying out monotonicity trend analysis processing on each sub-transmission section; correcting the target sound index corresponding to each transmission segment to be corrected; determining the corresponding co-word degree index of each reference transmission segment and each transmission segment to be corrected; carrying out self-adaptive same-word merging processing on all sub-transmission segments, and compressing all target transmission segments; encrypting the target compressed data, and transmitting the encrypted target compressed data. The invention realizes the compression and safe transmission of the audio data sequence to be transmitted, and improves the quality of audio data compression.
Description
Technical Field
The invention relates to the technical field of digital information transmission, in particular to a data security transmission method in a remote connection process.
Background
Data generated in the remote connection process sometimes needs to be transmitted, for example, when the remote connection process is an online conference process, in order to facilitate information transfer, audio data generated in the online conference process often needs to be transmitted, and because audio data generated in the online conference often needs to be large, in order to facilitate secure transmission, the audio data often needs to be compressed and encrypted. Currently, when audio data is compressed, the following methods are adopted: the audio data is compressed by an MP3 compression algorithm.
However, when the above manner is adopted, there are often the following technical problems:
in the process of MP3 compression of audio data, the loss of sound quality of the audio data may be often caused, so that the quality of compression of the audio data is poor.
Disclosure of Invention
The summary of the invention is provided to introduce a selection of concepts in a simplified form that are further described below in the detailed description. The summary of the invention is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter.
In order to solve the technical problem of poor quality of audio data compression, the invention provides a data security transmission method in a remote connection process.
The invention provides a data security transmission method in a remote connection process, which comprises the following steps:
acquiring an audio data sequence to be transmitted corresponding to a remote connection process, and equally dividing the audio data sequence to be transmitted to obtain a sub-transmission segment sequence;
determining the integral characterization data corresponding to each sub-transmission segment according to all the audio data to be transmitted in each sub-transmission segment in the sub-transmission segment sequence;
screening transmission segments to be corrected for representing suspected text center audio from the sub transmission segment sequence according to the overall representation data, and determining sub transmission segments except the transmission segments to be corrected in the sub transmission segment sequence as reference transmission segments;
carrying out monotonicity trend analysis processing on each sub-transmission segment to obtain a target sound index corresponding to each sub-transmission segment;
correcting the target sound index corresponding to each transmission segment to be corrected according to the target sound index corresponding to two reference transmission segments adjacent to each transmission segment to be corrected and the overall characterization data corresponding to each transmission segment to be corrected, so as to obtain the corrected sound index corresponding to each transmission segment to be corrected;
according to the target sound index corresponding to each reference transmission segment and the correction sound index corresponding to each transmission segment to be corrected, determining the same word degree index corresponding to each reference transmission segment and each transmission segment to be corrected respectively;
According to the same-word degree index corresponding to all the sub-transmission segments, carrying out self-adaptive same-word merging processing on all the sub-transmission segments to obtain target transmission segments, and compressing all the target transmission segments through an LZ77 compression algorithm to obtain target compressed data;
encrypting the target compressed data, and transmitting the encrypted target compressed data.
Optionally, the determining, according to all the audio data to be transmitted in each sub-transmission segment in the sub-transmission segment sequence, the overall characterization data corresponding to each sub-transmission segment includes:
and determining the average value of all the audio data to be transmitted in the sub-transmission section as the integral characterization data corresponding to the sub-transmission section.
Optionally, the screening the transmission segment to be corrected for representing the suspected text center audio from the sub-transmission segment sequence according to the overall representation data includes:
taking a sub-transmission segment in the sub-transmission segment sequence as an abscissa and corresponding overall characterization data as an ordinate, and making a data graph;
and determining the abscissa included in the coordinates corresponding to each maximum value in the data graph as a transmission segment to be corrected.
Optionally, the monotonicity trend analysis processing is performed on each sub-transmission segment to obtain a target sound index corresponding to each sub-transmission segment, including:
Determining the difference value of every two adjacent audio data to be transmitted in the sub-transmission section as a first-order difference, and obtaining a first-order difference sequence corresponding to the sub-transmission section;
and determining a target sound index corresponding to each sub-transmission segment according to the integral characterization data and the first-order difference sequence corresponding to each sub-transmission segment.
Optionally, the formula corresponding to the target sound index corresponding to the sub-transmission segment is:
the method comprises the steps of carrying out a first treatment on the surface of the Wherein (1)>Is a target sound index corresponding to an ith sub-transmission segment in the sub-transmission segment sequence; i is the sequence number of the sub-transmission segment in the sub-transmission segment sequence; />And->Is a factor greater than 0 set in advance; />Is the integral characterization data corresponding to the transmission segment to be corrected nearest to the ith sub-transmission segment;is the integral characterization data corresponding to the ith sub-transmission segment; />Is the number of sub-transmission segments between the ith sub-transmission segment and the transmission segment to be modified closest thereto; />Taking an absolute value function; />Is the integral characterization data corresponding to the j+1th sub-transmission segment in the sub-transmission segment sequence; />Is the integral characterization data corresponding to the j-th sub-transmission segment in the sub-transmission segment sequence; j is the sequence number of the sub-transmission segment between the ith sub-transmission segment and the transmission segment to be modified closest to the ith sub-transmission segment; / >Is an exponential function with a natural constant as a base; />The minimum function is taken; />Is a maximum function; />Is the positive number in the first-order differential sequence corresponding to the ith sub-transmission segmentIs the number of (3); />Is the number of negative numbers in the first order differential sequence corresponding to the ith sub-transmission segment.
Optionally, the correcting the target sound index corresponding to each transmission segment to be corrected according to the target sound index corresponding to two reference transmission segments adjacent to each transmission segment to be corrected and the overall characterization data corresponding to each transmission segment to be corrected to obtain the corrected sound index corresponding to each transmission segment to be corrected, including:
and determining the corrected sound index corresponding to the transmission segment to be corrected according to the average value of the target sound indexes corresponding to the two reference transmission segments adjacent to the transmission segment to be corrected, the overall characterization data corresponding to the transmission segment to be corrected, the maximum value of the overall characterization data corresponding to all the sub transmission segments in the sub transmission segment sequence, and the target sound index corresponding to the transmission segment to be corrected.
Optionally, the formula corresponding to the correction sound index corresponding to the transmission segment to be corrected is:
the method comprises the steps of carrying out a first treatment on the surface of the Wherein (1)>Is the correction sound index corresponding to the t transmission section to be corrected; t is the serial number of the transmission segment to be corrected; / >Is a target sound index corresponding to the t transmission section to be corrected; />Is the integral characterization data corresponding to the t-th transmission segment to be modified; />Is a factor greater than 0 set in advance; />Is the maximum value of the integral characterization data corresponding to all the sub-transmission segments in the sub-transmission segment sequence; />Taking an absolute value function; />Is the average value of target sound indexes corresponding to two reference transmission segments adjacent to the t th transmission segment to be corrected.
Optionally, the determining, according to the target sound index corresponding to each reference transmission segment and the correction sound index corresponding to each transmission segment to be corrected, the co-word degree index corresponding to each reference transmission segment and each transmission segment to be corrected includes:
determining a target sound index corresponding to each reference transmission segment as an overall sound factor corresponding to each reference transmission segment, and determining a correction sound index corresponding to each transmission segment to be corrected as an overall sound factor corresponding to each transmission segment to be corrected, so as to obtain an overall sound factor corresponding to each sub transmission segment;
and determining the co-word degree index corresponding to each sub-transmission segment according to the overall sound factor corresponding to each sub-transmission segment and the next sub-transmission segment.
Optionally, the formula corresponding to the co-word degree index corresponding to the sub-transmission segment is:
the method comprises the steps of carrying out a first treatment on the surface of the Wherein (1)>Is the same word degree index corresponding to the ith sub-transmission segment in the sub-transmission segment sequence; i is the sequence number of the sub-transmission segment in the sub-transmission segment sequence; />Is a normalization function; />Is a sub-transmission segmentThe integral sound factor corresponding to the ith sub-transmission segment in the sequence; />Is the integral sound factor corresponding to the (i+1) th sub-transmission segment in the sub-transmission segment sequence; />Is an exponential function with a base of natural constant.
Optionally, the performing adaptive co-word merging processing on all the sub-transmission segments according to the co-word degree indexes corresponding to all the sub-transmission segments to obtain a target transmission segment includes:
when the co-word degree index corresponding to the sub-transmission segment is larger than or equal to a preset threshold value, merging the sub-transmission segment with the next sub-transmission segment, and taking each transmission segment obtained by final merging as a target transmission segment;
and when the co-word degree index corresponding to the sub-transmission segment is smaller than a preset threshold value, determining the sub-transmission segment as a target transmission segment.
The invention has the following beneficial effects:
the data security transmission method in the remote connection process realizes the compression and security transmission of the audio data sequence to be transmitted, and improves the quality of audio data compression. Firstly, an audio data sequence to be transmitted corresponding to a remote connection process is acquired, so that the subsequent audio data sequence to be transmitted can be conveniently compressed. Secondly, as the pronunciation of each text often corresponds to one section of audio data, the audio data sequence to be transmitted is equally divided, so that the text information condition corresponding to the sub-transmission section can be conveniently known later. Then, because the integral characterization data corresponding to the sub-transmission segment can represent the integral audio condition in the sub-transmission segment and the corresponding audio conditions are often different when the integral characterization data is positioned at different parts of the pronunciation of the same character, the transmission segment to be corrected for characterizing the center audio of the suspected character is screened out from the sub-transmission segment sequence based on the integral characterization data, and the sub-transmission segments of different parts of the pronunciation of the sign character can be conveniently and accurately subjected to self-adaptive co-character merging processing. Then, because the monotonicity trend of the audio data with text pronunciation is often different from that of the audio data without sound, the monotonicity trend analysis processing is performed on each sub-transmission section, so that whether the sub-transmission section is an audio data section with sound or not can be conveniently judged later, wherein the audio data section with sound is the text pronunciation. Continuously, the target sound indexes corresponding to two reference transmission sections adjacent to each transmission section to be corrected and the overall characterization data corresponding to each transmission section to be corrected are comprehensively considered, and the target sound indexes corresponding to each transmission section to be corrected are corrected, so that the accuracy of determining the corrected sound indexes corresponding to each transmission section to be corrected can be improved. Compared with lossy MP3 compression, the invention carries out self-adaptive co-word merging processing on all sub-transmission segments based on the co-word degree index corresponding to all sub-transmission segments, can divide the audio data to be transmitted representing the pronunciation of the same word into the same target transmission segment as far as possible, and compresses all target transmission segments through LZ77 compression algorithm, thereby reducing the loss of tone quality to a certain extent and improving the quality of compressing the audio data sequence to be transmitted. Secondly, compared with the method for directly compressing the audio data sequence to be transmitted through the LZ77 compression algorithm, the method divides the audio data to be transmitted representing the same text pronunciation into the same target transmission segment as much as possible, and only the target transmission segment is required to be subjected to similar matching instead of the audio data to be transmitted, so that the calculated amount is reduced to a certain extent, the occupation of calculation resources is reduced, the data compression efficiency is improved, and the data safety transmission efficiency is improved. Finally, encrypting the target compressed data and transmitting the encrypted target compressed data, thereby realizing the safe transmission of the target compressed data.
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In order to more clearly illustrate the embodiments of the invention or the technical solutions and advantages of the prior art, the following description will briefly explain the drawings used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are only some embodiments of the invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a data security transmission method in a remote connection process according to the present invention.
Detailed Description
In order to further describe the technical means and effects adopted by the present invention to achieve the preset purpose, the following detailed description is given below of the specific implementation, structure, features and effects of the technical solution according to the present invention with reference to the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" means that the embodiments are not necessarily the same. Furthermore, the particular features, structures, or characteristics of one or more embodiments may be combined in any suitable manner.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
An embodiment of a data security transmission method in a remote connection process is provided:
the invention provides a data security transmission method in a remote connection process, which comprises the following steps:
acquiring an audio data sequence to be transmitted corresponding to a remote connection process, and equally dividing the audio data sequence to be transmitted to obtain a sub-transmission segment sequence;
determining the integral characterization data corresponding to each sub-transmission segment according to all the audio data to be transmitted in each sub-transmission segment in the sub-transmission segment sequence;
screening transmission segments to be corrected for representing suspected text center audio from the sub transmission segment sequence according to the overall representation data, and determining the sub transmission segments except the transmission segments to be corrected in the sub transmission segment sequence as reference transmission segments;
carrying out monotonicity trend analysis processing on each sub-transmission segment to obtain a target sound index corresponding to each sub-transmission segment;
correcting the target sound index corresponding to each transmission segment to be corrected according to the target sound index corresponding to two reference transmission segments adjacent to each transmission segment to be corrected and the overall characterization data corresponding to each transmission segment to be corrected, so as to obtain the corrected sound index corresponding to each transmission segment to be corrected;
According to the target sound index corresponding to each reference transmission segment and the correction sound index corresponding to each transmission segment to be corrected, determining the same word degree index corresponding to each reference transmission segment and each transmission segment to be corrected respectively;
according to the same-word degree index corresponding to all the sub-transmission segments, carrying out self-adaptive same-word merging processing on all the sub-transmission segments to obtain target transmission segments, and compressing all the target transmission segments through an LZ77 compression algorithm to obtain target compressed data;
encrypting the target compressed data, and transmitting the encrypted target compressed data.
The following detailed development of each step is performed:
referring to fig. 1, a flow chart of some embodiments of a method of secure transmission of data in a remote connection process according to the present invention is shown. The data security transmission method in the remote connection process comprises the following steps:
step S1, an audio data sequence to be transmitted corresponding to a remote connection process is obtained, and the audio data sequence to be transmitted is equally divided, so that a sub-transmission segment sequence is obtained.
In some embodiments, an audio data sequence to be transmitted corresponding to the remote connection process may be obtained, and the audio data sequence to be transmitted may be equally divided, to obtain a sub-transmission segment sequence.
The remote connection process is often a process of remotely connecting another computer. For example, the remote connection process may be an online conference process. The audio data to be transmitted in the sequence of audio data to be transmitted may be audio data generated during the remote connection. For example, the audio data to be transmitted may be the amplitude of the audio signal. The audio data to be transmitted in the audio data to be transmitted sequence may be time-series data.
It should be noted that, the audio data sequence to be transmitted corresponding to the remote connection process is obtained, so that the subsequent audio data sequence to be transmitted can be conveniently compressed. Secondly, as the pronunciation of each text often corresponds to one section of audio data, the audio data sequence to be transmitted is equally divided, so that the text information condition corresponding to the sub-transmission section can be conveniently known later.
As an example, this step may include the steps of:
the first step, an audio data sequence to be transmitted corresponding to a remote connection process is obtained.
For example, if the remote connection process is an online conference process, the amplitude of the audio signal in the online conference process may be recorded as the audio data to be transmitted through the recording device, and all the audio data to be transmitted are combined into the audio data sequence to be transmitted.
And secondly, equally dividing the audio data sequence to be transmitted to obtain a sub-transmission segment sequence.
For example, the time period corresponding to the audio data sequence to be transmitted may be equally divided, for example, the time period corresponding to the audio data sequence to be transmitted may be equally divided into sub-time periods of 0.05 seconds, and the audio data to be transmitted collected in each sub-time period may be combined into sub-transmission segments, so as to obtain the sub-transmission segment sequence. The sub-transmission segment sequence may be a sequence obtained by arranging the sub-transmission segments according to the sequence of the time periods corresponding to the sub-transmission segments.
And S2, determining the integral characterization data corresponding to each sub-transmission segment according to all the audio data to be transmitted in each sub-transmission segment in the sub-transmission segment sequence.
In some embodiments, the overall characterization data corresponding to each sub-transmission segment may be determined according to all the audio data to be transmitted in each sub-transmission segment in the sub-transmission segment sequence.
It should be noted that, by comprehensively considering all the audio data to be transmitted in the sub-transmission segment, the overall characterization data corresponding to the sub-transmission segment can be quantized. The overall characterization data corresponding to the sub-transmission segment may represent an overall audio condition in the sub-transmission segment.
As an example, the average value of all the audio data to be transmitted in the sub-transmission segment may be determined as the overall characterization data corresponding to the sub-transmission segment.
And S3, screening transmission segments to be corrected for representing suspected text center audio from the sub-transmission segment sequence according to the overall representation data, and determining the sub-transmission segments except the transmission segments to be corrected in the sub-transmission segment sequence as reference transmission segments.
In some embodiments, according to the overall characterization data, a transmission segment to be corrected for characterizing the suspected text center audio may be selected from the sub-transmission segment sequence, and the sub-transmission segments in the sub-transmission segment sequence except for the transmission segment to be corrected are determined as the reference transmission segment.
It should be noted that, because the overall characterization data corresponding to the sub-transmission segment may represent the overall audio condition in the sub-transmission segment and the corresponding audio conditions are often different when the sub-transmission segment is located in different parts of the same text pronunciation, the sub-transmission segment to be modified for characterizing the center audio of the suspected text is screened out from the sub-transmission segment sequence based on the overall characterization data, so that the sub-transmission segment for representing different parts of the text pronunciation can be conveniently and accurately subjected to adaptive co-word merging processing.
As an example, this step may include the steps of:
and the first step, taking the sub-transmission segment in the sub-transmission segment sequence as an abscissa and the corresponding integral characterization data as an ordinate, and making a data graph.
And secondly, determining the abscissa included in the coordinates corresponding to each maximum value in the data graph as a transmission segment to be corrected.
The coordinates corresponding to the maximum value may be coordinates having the maximum value as an ordinate.
And thirdly, determining the sub-transmission segments except the transmission segment to be corrected in the sub-transmission segment sequence as a reference transmission segment.
And S4, carrying out monotonicity trend analysis processing on each sub-transmission segment to obtain a target sound index corresponding to each sub-transmission segment.
In some embodiments, monotonic trend analysis may be performed on each sub-transmission segment to obtain a target sound indicator corresponding to each sub-transmission segment.
It should be noted that, because the monotonicity trend of the audio data with text pronunciation is often different from that of the audio data without sound, the monotonicity trend analysis processing is performed on each sub-transmission segment, so that it is convenient to determine whether the sub-transmission segment is the audio data segment with sound or not, where the text pronunciation is sound, or a person speaking in an online meeting at the moment.
As an example, this step may include the steps of:
the first step, determining the difference value of every two adjacent audio data to be transmitted in the sub-transmission section as a first-order difference, and obtaining a first-order difference sequence corresponding to the sub-transmission section.
The second step, according to the integral characterization data and the first-order difference sequence corresponding to each sub-transmission segment, the formula corresponding to the target sound index corresponding to the sub-transmission segment is determined as follows:
the method comprises the steps of carrying out a first treatment on the surface of the Wherein (1)>Is the target sound index corresponding to the ith sub-transmission segment in the sub-transmission segment sequence. i is the sequence number of a sub-transmission segment in the sub-transmission segment sequence, and the larger the value is, the later the corresponding time period of the sub-transmission segment is often indicated. />And->Is a preset factor greater than 0, < ->Mainly to avoid the problem that when the ith sub-transmission section is the transmission section to be modified, the transmission section to be modified closest to the ith sub-transmission section is the ith sub-transmission sectionAnd when the numerator and denominator of the first ratio in the formula corresponding to the target sound index corresponding to the ith sub-transmission section are both 0. />Mainly used for preventing denominator from being 0. For example, a->And->May be 0.001.Is the integral characterization data corresponding to the transmission segment to be corrected nearest to the ith sub-transmission segment. / >Is the integral characterization data corresponding to the ith sub-transmission segment. />Is the number of sub-transmission segments between the ith sub-transmission segment and the transmission segment to be modified closest thereto; the sub-transmission segment between the ith sub-transmission segment and the transmission segment to be modified closest thereto does not include: the ith sub-transmission segment and the transmission segment to be modified closest thereto. />Is a function of absolute value. />Is the integral characterization data corresponding to the j+1th sub-transmission segment in the sub-transmission segment sequence. />Is the integral characterization data corresponding to the j-th sub-transmission segment in the sub-transmission segment sequence. j is the sequence number of the sub-transmission segment between the ith sub-transmission segment and the transmission segment to be modified closest thereto. />Is an index based on natural constantA function. />Is a function taking a minimum value. />Is a function of taking the maximum value. />Is the number of positive numbers in the first order differential sequence corresponding to the ith sub-transmission segment. />Is the number of negative numbers in the first order differential sequence corresponding to the ith sub-transmission segment.
It should be noted that, the audio data to be transmitted corresponding to the pronunciation of a single text often shows a change trend of ascending and then descending, that is, the monotonicity change trend of ascending or descending is often shown at two sides of the maximum value, and the audio data to be transmitted collected without sound often does not conform to the change trend. When (when) The larger the audio change between the ith sub-transmission segment and the transmission segment to be corrected closest thereto is, the larger the audio change tends to be. When->The larger the transmission segment to be corrected, the more monotone the change between the ith sub-transmission segment and the transmission segment to be corrected which is closest to the ith sub-transmission segment is, the more possible the ith sub-transmission segment is the audible audio data segment, the more possible the ith sub-transmission segment and the next sub-transmission segment are the audio data segment corresponding to the same text pronunciation, and the more possible the ith sub-transmission segment and the next sub-transmission segment can be combined. When->The larger the transmission segment is, the more monotonous the change between the ith sub-transmission segment and the transmission segment to be modified closest to the ith sub-transmission segment is, the more likely the ith sub-transmission segment and the next sub-transmission segment areThe audio data segment corresponding to the same text pronunciation often indicates that the i-th sub-transmission segment and the next sub-transmission segment can be combined. Thus, when->When the transmission data is larger, the change between the ith sub-transmission section and the transmission section to be corrected which is closest to the ith sub-transmission section is more consistent with the monotone trend, the more likely that the ith sub-transmission section and the next sub-transmission section are audio data sections corresponding to the same text pronunciation, and the more likely that the ith sub-transmission section and the next sub-transmission section can be combined.
And S5, correcting the target sound index corresponding to each transmission segment to be corrected according to the target sound index corresponding to two reference transmission segments adjacent to each transmission segment to be corrected and the overall characterization data corresponding to each transmission segment to be corrected, so as to obtain the corrected sound index corresponding to each transmission segment to be corrected.
In some embodiments, the target sound index corresponding to each transmission segment to be corrected may be corrected according to the target sound index corresponding to two reference transmission segments adjacent to each transmission segment to be corrected and the overall characterization data corresponding to each transmission segment to be corrected, so as to obtain the corrected sound index corresponding to each transmission segment to be corrected.
It should be noted that, comprehensively considering the target sound indexes corresponding to the two reference transmission segments adjacent to each transmission segment to be corrected and the overall characterization data corresponding to each transmission segment to be corrected, correcting the target sound indexes corresponding to each transmission segment to be corrected can improve the accuracy of determining the corrected sound indexes corresponding to each transmission segment to be corrected.
As an example, according to the average value of the target sound indexes corresponding to the two reference transmission segments adjacent to the transmission segment to be corrected, the overall characterization data corresponding to the transmission segment to be corrected, the maximum value of the overall characterization data corresponding to all the sub transmission segments in the sub transmission segment sequence, and the target sound index corresponding to the transmission segment to be corrected, the formula for determining the correction sound index corresponding to the transmission segment to be corrected may be:
The method comprises the steps of carrying out a first treatment on the surface of the Wherein (1)>Is the correction sound index corresponding to the t transmission section to be corrected. t is the sequence number of the transmission segment to be corrected. />Is the target sound index corresponding to the t transmission segment to be corrected. />Is the integral characterization data corresponding to the t-th transmission segment to be modified. />Is a factor of greater than 0 set in advance, mainly for preventing denominator from being 0, e.g., ++>May be 0.001./>Is the maximum value of the integral characterization data corresponding to all the sub-transmission segments in the sub-transmission segment sequence. />Is a function of absolute value. />Is the average value of target sound indexes corresponding to two reference transmission segments adjacent to the t th transmission segment to be corrected.
It should be noted that, since the transmission segment to be corrected often represents the audio frequency of the suspected text center, and often is a sub-transmission segment at the maximum value, the monotonicity trend corresponding to the transmission segment to be corrected is poor, but the transmission segment to be corrected is likely to be audible, and the audio data segments at the text pronunciation center need to be combined to two sides, and therefore, the transmission to be corrected is often neededAnd correcting the target sound index corresponding to the input section. When (when)When the transmission segment to be modified is larger, the whole characterization data corresponding to the transmission segment to be modified is larger, the transmission segment to be modified is more likely to be an audio data segment positioned in a text pronunciation center, and the transmission segment to be modified is more required to be combined. When- >When the target sound index is larger, the difference between the target sound index corresponding to the t th transmission section to be corrected and the target sound index corresponding to the two adjacent reference transmission sections is larger; often indicate->Possibly smaller, but +.>Larger; the more likely the t-th transmission segment to be modified is the audio data segment located in the text pronunciation center, the more the t-th transmission segment to be modified needs to be combined. Thus->When the transmission segment to be corrected is larger, the more likely the transmission segment to be corrected is an audio data segment positioned in a character pronunciation center, and the more the transmission segment to be corrected is required to be combined.
And S6, respectively determining the same-word degree index corresponding to each reference transmission segment and each transmission segment to be corrected according to the target sound index corresponding to each reference transmission segment and the correction sound index corresponding to each transmission segment to be corrected.
In some embodiments, the co-word degree index corresponding to each reference transmission segment and each transmission segment to be corrected may be determined according to the target sound index corresponding to each reference transmission segment and the correction sound index corresponding to each transmission segment to be corrected.
It should be noted that, the larger the co-word degree index corresponding to the reference transmission segment or the transmission segment to be corrected, the more likely it is to be the audio data segment under the same text pronunciation with the next sub-transmission segment.
As an example, this step may include the steps of:
the first step, determining a target sound index corresponding to each reference transmission segment as an overall sound factor corresponding to each reference transmission segment, and determining a correction sound index corresponding to each transmission segment to be corrected as an overall sound factor corresponding to each transmission segment to be corrected, so as to obtain an overall sound factor corresponding to each sub transmission segment.
The second step, according to the overall sound factor corresponding to each sub-transmission segment and the next sub-transmission segment, the formula corresponding to the co-word degree index corresponding to each sub-transmission segment may be determined as follows:
the method comprises the steps of carrying out a first treatment on the surface of the Wherein (1)>Is the same word degree index corresponding to the ith sub-transmission segment in the sub-transmission segment sequence. i is the sequence number of the sub-transmission segment in the sequence of sub-transmission segments. />Is a normalization function. />Is the overall sound factor corresponding to the ith sub-transmission segment in the sequence of sub-transmission segments. />Is the overall sound factor corresponding to the (i+1) th sub-transmission segment in the sub-transmission segment sequence. />Is an exponential function with a base of natural constant.
When the following is performedThe largerWhen the audio data segment corresponding to the text pronunciation is more likely to be the i-th sub-transmission segment and the next sub-transmission segment, the audio data segment corresponding to the text pronunciation is more likely to be the i-th sub-transmission segment and the next sub-transmission segment. Thus- >The larger the audio data segment corresponding to the text pronunciation, the more likely the i-th sub-transmission segment and the next sub-transmission segment are, and the more likely the i-th sub-transmission segment and the next sub-transmission segment can be combined.
And S7, carrying out self-adaptive co-word merging processing on all the sub-transmission segments according to the co-word degree indexes corresponding to all the sub-transmission segments to obtain target transmission segments, and compressing all the target transmission segments through an LZ77 compression algorithm to obtain target compressed data.
In some embodiments, adaptive co-word merging processing may be performed on all sub-transmission segments according to co-word degree indexes corresponding to all sub-transmission segments to obtain target transmission segments, and compression may be performed on all target transmission segments by using an LZ77 compression algorithm to obtain target compressed data.
The target compressed data may be data obtained by compressing all target transmission segments. The LZ77 compression algorithm, also known as LZ77 algorithm, is a lossless compression algorithm.
As an example, this step may include the steps of:
when the co-word degree index corresponding to the sub-transmission segment is larger than or equal to a preset threshold, combining the sub-transmission segment with the next sub-transmission segment, and taking each transmission segment obtained by final combination as a target transmission segment.
The preset threshold may be a preset threshold. For example, the preset threshold may be 0.7.
And secondly, when the co-word degree index corresponding to the sub-transmission segment is smaller than a preset threshold value, determining the sub-transmission segment as a target transmission segment.
For example, if the continuous 4 sub-transmission segments in the sub-transmission segment sequence are a first sub-transmission segment, a second sub-transmission segment, a third sub-transmission segment and a fourth sub-transmission segment in sequence, and the co-word degree indexes corresponding to the first sub-transmission segment, the second sub-transmission segment and the third sub-transmission segment are 0.7, 0.9 and 0.6 in sequence, the union of the first sub-transmission segment, the second sub-transmission segment and the third sub-transmission segment can be determined as a target transmission segment; and the fourth sub-transmission segment can be determined as another target transmission segment, and 2 target transmission segments can be obtained in total.
Thirdly, compressing all the target transmission segments through an LZ77 compression algorithm to obtain target compressed data.
Optionally, when data compression is performed through an LZ77 compression algorithm, similar matching is often required, the same text pronunciation may cause different durations corresponding to the same text pronunciation due to different speeds, so when similar matching is performed on the target transmission segments, if the lengths corresponding to the two target transmission segments are different, the interval between audio data to be transmitted in the target transmission segments can be adjusted, so that the lengths corresponding to the two target transmission segments are as consistent as possible, and then difference between the adjusted data and the data in the corresponding positions is accumulated, so that the deviation degree of the two target transmission segments is obtained, when the deviation degree is smaller than a preset value, the deviation degree is compressed, and the position information and the length information of the target transmission segments which are repeatedly appeared before are used for replacing the deviation degree; if not less than the preset value, not compressing the compressed data.
And S8, encrypting the target compressed data and transmitting the encrypted target compressed data.
In some embodiments, the target compressed data may be encrypted, and the encrypted target compressed data may be transmitted.
As an example, the target compressed data may be encrypted by AES (Advanced Encryption Standard, symmetric encryption) algorithm, and the encrypted target compressed data may be transmitted to the target terminal. The target terminal may be a computer.
In summary, compared with lossy MP3 compression, the invention performs self-adaptive co-word merging processing on all sub-transmission segments based on co-word degree indexes corresponding to all sub-transmission segments, can divide audio data to be transmitted representing the same word pronunciation into the same target transmission segment as much as possible, and compresses all target transmission segments through LZ77 compression algorithm, thereby reducing loss of sound quality to a certain extent and improving quality of compressing audio data sequences to be transmitted. Secondly, compared with the method for directly compressing the audio data sequence to be transmitted through the LZ77 compression algorithm, the method divides the audio data to be transmitted representing the same text pronunciation into the same target transmission section as much as possible, only the target transmission section is needed to be subjected to similar matching, and each audio data to be transmitted is not needed to be subjected to similar matching, and the online meeting is often carried out around a certain theme, so that certain text is often repeated, compared with the method for carrying out similar matching on each audio data to be transmitted, the target transmission section is subjected to similar matching, the calculated amount is reduced to a certain extent, the occupation of calculation resources is reduced, the data compression efficiency is improved, and the data safety transmission efficiency is improved. And the target compressed data is encrypted, and the encrypted target compressed data is transmitted, so that the safe transmission of the target compressed data is realized.
The present invention has been completed.
An embodiment of a data compression method in a remote connection process:
the data generated during the remote connection process is often more, and for convenience of storage, compression is often needed, for example, when the remote connection process is an online conference process, the audio data generated during the online conference process is often compressed because the audio data generated during the online conference process is often larger. Currently, when audio data is compressed, the following methods are adopted: the audio data is compressed by an MP3 compression algorithm.
However, when the above manner is adopted, there are often the following technical problems:
in the process of MP3 compression of audio data, the loss of sound quality of the audio data may be often caused, so that the quality of compression of the audio data is poor.
In order to solve the technical problem of poor quality of audio data compression, the invention aims to provide a data compression method in a remote connection process, and the adopted technical scheme is as follows:
step S1, an audio data sequence to be transmitted corresponding to a remote connection process is obtained, and the audio data sequence to be transmitted is equally divided, so that a sub-transmission segment sequence is obtained.
And S2, determining the integral characterization data corresponding to each sub-transmission segment according to all the audio data to be transmitted in each sub-transmission segment in the sub-transmission segment sequence.
And S3, screening transmission segments to be corrected for representing suspected text center audio from the sub-transmission segment sequence according to the overall representation data, and determining the sub-transmission segments except the transmission segments to be corrected in the sub-transmission segment sequence as reference transmission segments.
And S4, carrying out monotonicity trend analysis processing on each sub-transmission segment to obtain a target sound index corresponding to each sub-transmission segment.
And S5, correcting the target sound index corresponding to each transmission segment to be corrected according to the target sound index corresponding to two reference transmission segments adjacent to each transmission segment to be corrected and the overall characterization data corresponding to each transmission segment to be corrected, so as to obtain the corrected sound index corresponding to each transmission segment to be corrected.
And S6, respectively determining the same-word degree index corresponding to each reference transmission segment and each transmission segment to be corrected according to the target sound index corresponding to each reference transmission segment and the correction sound index corresponding to each transmission segment to be corrected.
And S7, carrying out self-adaptive co-word merging processing on all the sub-transmission segments according to the co-word degree indexes corresponding to all the sub-transmission segments to obtain target transmission segments, and compressing all the target transmission segments through an LZ77 compression algorithm to obtain target compressed data.
The data compression method in the remote connection process provided by the embodiment of the invention has the following technical effects:
the data compression method in the remote connection process realizes the compression of the audio data sequence to be transmitted and improves the quality of audio data compression. Firstly, an audio data sequence to be transmitted corresponding to a remote connection process is acquired, so that the subsequent audio data sequence to be transmitted can be conveniently compressed. Secondly, as the pronunciation of each text often corresponds to one section of audio data, the audio data sequence to be transmitted is equally divided, so that the text information condition corresponding to the sub-transmission section can be conveniently known later. Then, because the integral characterization data corresponding to the sub-transmission segment can represent the integral audio condition in the sub-transmission segment and the corresponding audio conditions are often different when the integral characterization data is positioned at different parts of the pronunciation of the same character, the transmission segment to be corrected for characterizing the center audio of the suspected character is screened out from the sub-transmission segment sequence based on the integral characterization data, and the sub-transmission segments of different parts of the pronunciation of the sign character can be conveniently and accurately subjected to self-adaptive co-character merging processing. Then, because the monotonicity trend of the audio data with text pronunciation is often different from that of the audio data without sound, the monotonicity trend analysis processing is performed on each sub-transmission section, so that whether the sub-transmission section is an audio data section with sound or not can be conveniently judged later, wherein the audio data section with sound is the text pronunciation. Continuously, the target sound indexes corresponding to two reference transmission sections adjacent to each transmission section to be corrected and the overall characterization data corresponding to each transmission section to be corrected are comprehensively considered, and the target sound indexes corresponding to each transmission section to be corrected are corrected, so that the accuracy of determining the corrected sound indexes corresponding to each transmission section to be corrected can be improved. Compared with lossy MP3 compression, the invention carries out self-adaptive co-word merging processing on all sub-transmission segments based on the co-word degree index corresponding to all sub-transmission segments, can divide the audio data to be transmitted representing the pronunciation of the same word into the same target transmission segment as far as possible, and compresses all target transmission segments through LZ77 compression algorithm, thereby reducing the loss of tone quality to a certain extent and improving the quality of compressing the audio data sequence to be transmitted. Secondly, compared with the method for directly compressing the audio data sequence to be transmitted through the LZ77 compression algorithm, the method divides the audio data to be transmitted representing the same text pronunciation into the same target transmission section as much as possible, and only the target transmission section is required to be subjected to similar matching instead of the audio data to be transmitted, so that the calculation amount is reduced to a certain extent, the occupation of calculation resources is reduced, and the data compression efficiency is improved.
The steps S1 to S7 are already described in detail in the foregoing embodiment of the data security transmission method in the remote connection process, and will not be described in detail.
The above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the invention and are intended to be included within the scope of the invention.
Claims (4)
1. The data security transmission method in the remote connection process is characterized by comprising the following steps:
acquiring an audio data sequence to be transmitted corresponding to a remote connection process, and equally dividing the audio data sequence to be transmitted to obtain a sub-transmission segment sequence;
determining the integral characterization data corresponding to each sub-transmission segment according to all the audio data to be transmitted in each sub-transmission segment in the sub-transmission segment sequence;
screening transmission segments to be corrected for representing suspected text center audio from the sub transmission segment sequence according to the overall representation data, and determining sub transmission segments except the transmission segments to be corrected in the sub transmission segment sequence as reference transmission segments;
Carrying out monotonicity trend analysis processing on each sub-transmission segment to obtain a target sound index corresponding to each sub-transmission segment;
correcting the target sound index corresponding to each transmission segment to be corrected according to the target sound index corresponding to two reference transmission segments adjacent to each transmission segment to be corrected and the overall characterization data corresponding to each transmission segment to be corrected, so as to obtain the corrected sound index corresponding to each transmission segment to be corrected;
according to the target sound index corresponding to each reference transmission segment and the correction sound index corresponding to each transmission segment to be corrected, determining the same word degree index corresponding to each reference transmission segment and each transmission segment to be corrected respectively;
according to the same-word degree index corresponding to all the sub-transmission segments, carrying out self-adaptive same-word merging processing on all the sub-transmission segments to obtain target transmission segments, and compressing all the target transmission segments through an LZ77 compression algorithm to obtain target compressed data;
encrypting the target compressed data, and transmitting the encrypted target compressed data;
the determining the overall characterization data corresponding to each sub-transmission segment according to all the audio data to be transmitted in each sub-transmission segment in the sub-transmission segment sequence includes:
The average value of all the audio data to be transmitted in the sub-transmission section is determined to be the integral characterization data corresponding to the sub-transmission section;
the step of screening the transmission segment to be corrected for representing the suspected text center audio from the sub-transmission segment sequence according to the overall representation data comprises the following steps:
taking a sub-transmission segment in the sub-transmission segment sequence as an abscissa and corresponding overall characterization data as an ordinate, and making a data graph;
determining an abscissa included in coordinates corresponding to each maximum value in the data graph as a transmission segment to be corrected;
the monotonicity trend analysis processing is performed on each sub-transmission segment to obtain a target sound index corresponding to each sub-transmission segment, including:
determining the difference value of every two adjacent audio data to be transmitted in the sub-transmission section as a first-order difference, and obtaining a first-order difference sequence corresponding to the sub-transmission section;
determining a target sound index corresponding to each sub-transmission segment according to the integral characterization data and the first-order difference sequence corresponding to each sub-transmission segment;
the formula corresponding to the target sound index corresponding to the sub-transmission section is as follows:
the method comprises the steps of carrying out a first treatment on the surface of the Wherein (1)>Is a target sound index corresponding to an ith sub-transmission segment in the sub-transmission segment sequence; i is the sequence number of the sub-transmission segment in the sub-transmission segment sequence; / >And->Is a factor greater than 0 set in advance; />Is the integral characterization data corresponding to the transmission segment to be corrected nearest to the ith sub-transmission segment; />Is the integral characterization data corresponding to the ith sub-transmission segment; />Is the number of sub-transmission segments between the ith sub-transmission segment and the transmission segment to be modified closest thereto; />Taking an absolute value function; />Is the integral characterization data corresponding to the j+1th sub-transmission segment in the sub-transmission segment sequence; />Is the integral characterization data corresponding to the j-th sub-transmission segment in the sub-transmission segment sequence; j is the sequence number of the sub-transmission segment between the ith sub-transmission segment and the transmission segment to be modified closest to the ith sub-transmission segment; />Is an exponential function with a natural constant as a base; />The minimum function is taken; />Is a maximum function; />Is the number of positive numbers in the first order differential sequence corresponding to the ith sub-transmission segment; />Is the number of negative numbers in the first order differential sequence corresponding to the ith sub-transmission segment;
the method for respectively determining the co-word degree index corresponding to each reference transmission segment and each transmission segment to be corrected according to the target sound index corresponding to each reference transmission segment and the correction sound index corresponding to each transmission segment to be corrected comprises the following steps:
determining a target sound index corresponding to each reference transmission segment as an overall sound factor corresponding to each reference transmission segment, and determining a correction sound index corresponding to each transmission segment to be corrected as an overall sound factor corresponding to each transmission segment to be corrected, so as to obtain an overall sound factor corresponding to each sub transmission segment;
Determining the same word degree index corresponding to each sub-transmission segment according to the integral sound factor corresponding to each sub-transmission segment and the next sub-transmission segment;
the formula corresponding to the same word degree index corresponding to the sub-transmission section is as follows:
the method comprises the steps of carrying out a first treatment on the surface of the Wherein (1)>Is the same word degree index corresponding to the ith sub-transmission segment in the sub-transmission segment sequence; i is the sequence number of the sub-transmission segment in the sub-transmission segment sequence; />Is a normalization function; />Is the integral sound factor corresponding to the ith sub-transmission segment in the sub-transmission segment sequence; />Is the integral sound factor corresponding to the (i+1) th sub-transmission segment in the sub-transmission segment sequence; />Is an exponential function with a base of natural constant.
2. The method for securely transmitting data in a remote connection process according to claim 1, wherein the correcting the target sound index corresponding to each transmission segment to be corrected according to the target sound index corresponding to two reference transmission segments adjacent to each transmission segment to be corrected and the overall characterization data corresponding to each transmission segment to be corrected, to obtain the corrected sound index corresponding to each transmission segment to be corrected, includes:
and determining the corrected sound index corresponding to the transmission segment to be corrected according to the average value of the target sound indexes corresponding to the two reference transmission segments adjacent to the transmission segment to be corrected, the overall characterization data corresponding to the transmission segment to be corrected, the maximum value of the overall characterization data corresponding to all the sub transmission segments in the sub transmission segment sequence, and the target sound index corresponding to the transmission segment to be corrected.
3. The method for securely transmitting data in a remote connection process according to claim 2, wherein the formula corresponding to the correction sound index corresponding to the transmission segment to be corrected is:
the method comprises the steps of carrying out a first treatment on the surface of the Wherein (1)>Is the correction sound index corresponding to the t transmission section to be corrected; t is the serial number of the transmission segment to be corrected; />Is a target sound index corresponding to the t transmission section to be corrected; />Is the integral characterization data corresponding to the t-th transmission segment to be modified; />Is a factor greater than 0 set in advance; />Is the maximum value of the integral characterization data corresponding to all the sub-transmission segments in the sub-transmission segment sequence; />Taking an absolute value function; />Is the average value of target sound indexes corresponding to two reference transmission segments adjacent to the t th transmission segment to be corrected.
4. The method for data security transmission in a remote connection process according to claim 1, wherein the performing adaptive co-word merging processing on all sub-transmission segments according to co-word degree indexes corresponding to all sub-transmission segments to obtain the target transmission segment comprises:
when the co-word degree index corresponding to the sub-transmission segment is larger than or equal to a preset threshold value, merging the sub-transmission segment with the next sub-transmission segment, and taking each transmission segment obtained by final merging as a target transmission segment;
And when the co-word degree index corresponding to the sub-transmission segment is smaller than a preset threshold value, determining the sub-transmission segment as a target transmission segment.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20060057787A (en) * | 2004-11-24 | 2006-05-29 | 주식회사 네빌소프트 | Method for encoding and decoding audio and thereby device |
| CN102081928A (en) * | 2010-11-24 | 2011-06-01 | 南京邮电大学 | Method for separating single-channel mixed voice based on compressed sensing and K-SVD |
| US9484954B1 (en) * | 2015-09-10 | 2016-11-01 | Intel Corporation | Methods and apparatus to parallelize data decompression |
| CN106776663A (en) * | 2015-11-25 | 2017-05-31 | 腾讯科技（深圳）有限公司 | The compression method and device of audio file |
| CN110197656A (en) * | 2018-02-26 | 2019-09-03 | 付明涛 | It is a kind of can fast recording conference content and the equipment that is converted into text |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108090210A (en) * | 2017-12-29 | 2018-05-29 | 广州酷狗计算机科技有限公司 | The method and apparatus for searching for audio |
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Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20060057787A (en) * | 2004-11-24 | 2006-05-29 | 주식회사 네빌소프트 | Method for encoding and decoding audio and thereby device |
| CN102081928A (en) * | 2010-11-24 | 2011-06-01 | 南京邮电大学 | Method for separating single-channel mixed voice based on compressed sensing and K-SVD |
| US9484954B1 (en) * | 2015-09-10 | 2016-11-01 | Intel Corporation | Methods and apparatus to parallelize data decompression |
| CN106776663A (en) * | 2015-11-25 | 2017-05-31 | 腾讯科技（深圳）有限公司 | The compression method and device of audio file |
| CN110197656A (en) * | 2018-02-26 | 2019-09-03 | 付明涛 | It is a kind of can fast recording conference content and the equipment that is converted into text |
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