CN116192815A - Online live broadcast and voice interaction job conference management method for staff members - Google Patents
Online live broadcast and voice interaction job conference management method for staff members Download PDFInfo
- Publication number
- CN116192815A CN116192815A CN202310468783.5A CN202310468783A CN116192815A CN 116192815 A CN116192815 A CN 116192815A CN 202310468783 A CN202310468783 A CN 202310468783A CN 116192815 A CN116192815 A CN 116192815A
- Authority
- CN
- China
- Prior art keywords
- information
- data information
- data
- voice
- transmission
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L65/00—Network arrangements, protocols or services for supporting real-time applications in data packet communication
- H04L65/40—Support for services or applications
- H04L65/403—Arrangements for multi-party communication, e.g. for conferences
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/109—Time management, e.g. calendars, reminders, meetings or time accounting
- G06Q10/1093—Calendar-based scheduling for persons or groups
- G06Q10/1095—Meeting or appointment
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W28/00—Network traffic management; Network resource management
- H04W28/02—Traffic management, e.g. flow control or congestion control
- H04W28/04—Error control
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Entrepreneurship & Innovation (AREA)
- Strategic Management (AREA)
- Marketing (AREA)
- Data Mining & Analysis (AREA)
- Economics (AREA)
- Multimedia (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Telephonic Communication Services (AREA)
- Two-Way Televisions, Distribution Of Moving Picture Or The Like (AREA)
Abstract
The invention discloses an online live broadcast and voice interaction job-meeting management method for a job-meeting member, relates to the technical field of data information processing and interaction, and aims to improve the management capability of a job representative meeting. The method comprises the following steps: step 1, constructing a staff representative meeting organization system, and extracting a voice meeting and a live meeting from the staff representative meeting organization system; step 2, transmitting voice data information or video data information; step 3, carrying out security diagnosis on the data information output by the digital signal processing unit through a parity check method; and 4, carrying out live broadcasting and voice information control linking on the sharer through a signaling link control module HDLC, and receiving the monitored data information through a meeting management terminal, wherein the meeting management terminal is provided with a channel demodulator.
Description
Technical Field
The invention relates to the technical field of data information processing and transmission, in particular to an online live broadcast and voice interaction job conference management method for a job conference member.
Background
The staff members refer to a member of a staff class of mass organization, namely, a staff, in order that the staff can normally develop a member organization of an activity society, in the process of engaged in a unit or each activity of the enterprise, the staff members cannot apply for the voice staff and the live broadcasting staff simultaneously, because the staff members belong to different industries, each industry has own specific requirements, different groups are formed between the voice staff and the live broadcasting staff, and in the management process of the staff members, how to conduct data information interaction between the different groups can improve information interaction between different member organizations.
In the current market, most of data transmission is used for transmitting characters, voices and images, and transmitting data, the working process of the data transmission is to decompose the characters, voices and images into digital signals or data streams for transmission, then analyze the data information obtained by transmission to form the characters, voices and images, the transmission mode usually uses a single synchronous transmission mode or an asynchronous transmission mode, the speed is slower, the number of instruments required by transmission is large, the flow is complex, the transmission accuracy is not guaranteed, and therefore, how to improve the transmission speed and the transmission capacity becomes a technical problem to be solved urgently.
In the prior art, the transmission process of the information data does not pay attention to the accuracy and the preservation of the information, only increases the transmission speed and the transmission path of the information transmission, ignores the accuracy of the information data transmission and the preservation of the information data, easily causes the loss of the information data, and is not beneficial to the analysis and the integration of the information data.
Disclosure of Invention
Aiming at the defects of the technology, the invention discloses an on-line live broadcast and voice interaction job conference management method for a job conference member, which is used for acquiring data information in different systems of a voice job conference and a live broadcast job conference, accelerating the transmission of the information in the transmission of the data information in a synchronous transmission and asynchronous transmission mode, realizing the synchronous transmission and the asynchronous transmission mode through double channels, converging the synchronous transmission and the synchronous transmission mode into a bit stream direct terminal through circuit switching, accelerating the transmission rate of the data information, improving the accuracy of the transmission of the data information and greatly shortening the time required for transmitting the information. The invention can also decompose and process the data information in the voice industry and the live broadcasting industry so as to decompose, identify and interact different data information in the data information transmission process.
As a further technical scheme of the invention, the method for managing the online live broadcast and voice interaction job title of the staff member comprises the following steps:
step 1, constructing a staff representative meeting organization system, extracting a voice meeting and a live meeting from the staff representative meeting organization system, and collecting voice data information and video data information from the voice meeting and the live meeting respectively, wherein the voice data information at least comprises semantics, grammar, phonemes, a voice conversion protocol and a voice communication protocol; the video data information at least comprises computer visual background, video format, duration, color, tone, data frame and video information conversion protocol and video information communication protocol;
step 2, transmitting voice data information or video data information, and transmitting the received voice data information or video data information to a control system through a mobile communication module, wherein the control system processes the demodulated voice data information or video data information through a digital signal processing unit; the sharing of voice data information or video data information is realized through the sharer; the mobile communication module comprises a GSM radio frequency chip, a baseband processing chip, a memory and a power amplifier device, wherein the baseband processing chip, the memory and the power amplifier device are connected with the GSM radio frequency chip;
The digital signal processing unit comprises a data feature decomposition module, a data information recognition module, a data mining module, a data information classification module and a data information distribution module, wherein the data feature decomposition module is used for decomposing the features of voice data information or video data information, the data information recognition module is used for recognizing the features of the decomposed voice data information or video data information, the data mining module is used for analyzing the features of the decomposed voice data information or video data information, the data information classification module is used for classifying the features of the voice data information or video data information so as to facilitate user recognition or application, and the data information distribution module is used for transmitting the classified features of the voice data information or video data information from one data terminal to the other data terminal according to a data communication protocol; the output end of the data characteristic decomposition module is connected with the input end of the data information identification module, the output end of the data information identification module is connected with the input end of the data mining module, the output end of the data mining module is connected with the input end of the data information classification module, and the output end of the data information classification module is connected with the input end of the data information distribution module;
Step 3, carrying out security diagnosis on the data information output by the digital signal processing unit through a parity check method, and intelligently sensing live broadcast and voice data information through a digital line sensing module before the sharer receives the data information, wherein the digital line sensing module realizes digital information transmission fault detection through abnormal digital information sensing, and the abnormal digital information sensing adopts a distributed fault ranging method to realize fault ranging; the parity check method realizes transmission system fault detection by checking and identifying transmission system errors; the parity check method realizes data check by a judging system through odd check or even check, and the data information transmitting end and the receiving end adopt the same check method for check;
step 4, the sharer is subjected to live broadcast and voice information control link through a signaling link control module HDLC, the screened alarm data are analyzed and processed, the live broadcast and voice data are monitored in a centralized manner, and an affected digital transmission channel is detected; the signaling link control module sends signaling information to another signaling point through a signaling data link to ensure reliable transmission of the information between the signaling points, the signaling point adopts a second-stage function to convert signaling information transmitted by an upper stage into signal units with different lengths and transmits the signal units to the signaling link, the signal units comprise the signaling information and control information, and the control information realizes information transmission through the control signaling link;
Step 5, receiving the monitored data information through a work management terminal, wherein the work management terminal is provided with a channel demodulator, and the work management terminal is arranged as a front-end channel demodulation channel and a rear-end information source decoding channel so as to improve the interactive capability of the work data communication; the job management terminal is provided with an independent operating system and GSM
The function module is used for radio frequency processing, baseband processing and providing a standard interface;
as a further technical scheme of the invention, the working method of the data characteristic decomposition module is as follows:
splitting the collected voice data information or video data information into a plurality of small fragments, and recording the fragments as:
in the formula (1), the components are as follows,Prepresents the collection of the collected voice or video data information source voice segment voice frequency domain quantity,prepresenting the parsed pieces of voice or video data information,nthe number of the acquired voice or data information fragments is referred to;
decomposed speech or video segment vectorsv i Each region of (3)k ij The gradient value function of (2) is:
in the formula (2), the amino acid sequence of the compound,
representing a function of the decomposed voice or video clip information, < >>
And->
Representing the function of decomposed voice or video clip informationxAndya coordinate gradient function in whichxSpeech in axial direction Or video information gradient function asg ij （x) Gradient function of voice or video information in y direction asg ij （y) The gradient value of the collected voice or video fragment area is recorded ask ij （j=1，2，…，w），iRefers to the number of a voice or video clip,i=（1，2，…，n）。
as a further technical scheme of the invention, the working method of the data information identification module is as follows:
and recording the gradient value function of the decomposed voice or video data information as:
in the formula (3), the amino acid sequence of the compound,G i a gradient set representing the frequency domain quantity of the acquired voice or video clip voice,U i S i V i representation ofG i Is a decomposition of the gradient values of (a),S i diagonal 4 x 4 matrix representing principal direction vector of acquired speech or video segment, when obtainedS i Then, a main direction metric is calculatedR，RThe calculation function of (2) is shown as the formula (4):
in the formula (4), the amino acid sequence of the compound,Rrepresenting the primary direction metric and,
and->
Respectively representing adjacent segment data functions of the decomposed voice or video;
as a further technical scheme of the invention, the data mining module performs mining or analysis on the collected voice or video data information through an MPEC (equalization constraint planning) optimization algorithm model, wherein the output functionThe number is M, and the optimal audio data information output function is:
(5)
in the formula (5), the amino acid sequence of the compound,
minimum loss function value representing information output waveform of audio or video data, < +. >
Representing the total information data waveform allowed to pass through audio or video in the transmission of audio or video data information, < >>
Representing the energy value that the audio or video information has during the transfer process,/or->
Representing the time of transfer of information of audio or video data, +.>
Representing a degree of distortion in the transfer of audio or video data information;
when the waveform balance data function of the audio or video data information meets the following identity, the novel distortion degree of the decomposed voice or video data is minimum, and the balance data function is as follows:
in the formula (6), P represents the energy value of the audio data information under the condition of no external interference, U represents the audio quality of the audio information after the voice communication system is accessed, G ij Representing the amplitude change during the delivery of the audio information,
representing the phase angle formed by the voice information and the external interference data information in the transmission process, < >>
Representing a voice or video information balance factor;
the equilibrium constraint conditions of no distortion in the voice or video data information transfer process are:
in the formula (7) of the present invention,
representing the minimum value of the audio quality allowed by the access point of the audio or video data information, < >>
Indicating that the access point passes the audio quality standard +.>
An audio quality threshold representing total audio information of the access point;
The method adopted by the audio information analysis is that loudness evaluation value, sensitivity characteristic and sidetone masking screen evaluation value are analyzed, wherein the loudness evaluation value function is recorded as:
in the formula (8), LR is a loudness evaluation value function, and m represents the transmission medium density; w (w) i For the weighting coefficient of each frequency point S i For sensitivity to the medium during transmission of audio or data information.
As a further technical scheme of the invention, the data information classification module adopts a two-dimensional Gaussian blur function to smoothly classify voice or video data information, and the two-dimensional Gaussian blur function is expressed as:
in the formula (9), the amino acid sequence of the compound,xis the distance of the acquired voice or video data information from the origin on the horizontal axis,yis the distance of the acquired voice or video data information from the origin on the vertical axis, σ is the standard deviation of the gaussian distribution, σ is variable, between 3 and 10.5.
As a further technical scheme of the invention, the output function of the MPEC optimization algorithm model for the equilibrium constraint programming problem is as follows:
in the formula (10), the amino acid sequence of the compound,
constraint data indicative of the first output waveform cycle, < +.>
Representing constraint conditions of waveform output in a neighborhood range, wherein Y represents a user demand feedback tone quality standard;
Calculating the change of the tone quality of the audio information in the transmission process through an MPEC mathematical model, and planning the audio tone quality balance condition between the audio information and a user as follows:
in the formula (11), the amino acid sequence of the compound,
minimum audio waveform representing audio information output under MPEC mathematical model, +.>
Representing the minimum audio waveform of the audio waveform received at the end of the power transmission audio information.
As a further technical scheme of the invention, the working method of the data information distribution module is as follows:
the classified data information is received through a universal synchronous asynchronous receiver (HDR 7), and the asynchronous data and the synchronous data are received simultaneously without barriers through adding a receiver, a check bit checker, a logic controller, a shift register and a two-stage receiving buffer, and frame errors, overflow data and check errors are detected;
the data to be sent is prepared in the random access memory, the temporary data storage medium of the random access memory is adopted to realize the writing or reading of information from any appointed address, the random access memory is connected with the CPU in a barrier-free manner to realize the data exchange, and the information is directly obtained from the CPU in a circuit communication manner to improve the data information reading and writing speed.
As a further technical scheme of the invention, a sharer receiving end divides a transmission start character and a transmission stop character through screening serial data streams to ensure character synchronization, realizes synchronous transmission and asynchronous transmission through double channels, and converges the characters into bit streams through circuit switching to reach an end point; the formula of the data information output function received by the sharer is as follows:
In the formula (12) of the present invention,
for total transmission data information->
Transmitting data information for asynchronous transmission,/->
Transmitting data information for synchronous transmission, wherein a is repeated data information in the transmission process, and dB is the transmission data quantity; the transmission capacity versus output function formula is:
in the formula (13), K is the total transmission loss, Z is the free space loss,
for asynchronous transmission loss>
For synchronous transmission loss.
As a further technical solution of the present invention, the working method of the signaling data link includes the following steps:
step one, transmitting all single data information through a superior signaling point, wherein the superior signaling point extracts data information type characteristics through c-od-c and groups the data information type characteristics, and the data information type groups comprise heterogeneous information groups and similar data information groups;
step two, the heterogeneous information group and the similar data information group realize transmission request to a subordinate signaling point through a one-to-many signaling link;
step three, the subordinate signaling point completes information verification by judging the validity of the data information, if the verification is passed, the step four operation is executed, and if the verification is failed, the transmission failure is judged;
and step four, processing each piece of different information in the data transmission according to a one-to-one data transmission logic sequence by the lower stage, stopping transmission if the single data transmission fails, stopping transmission, and if the whole data transmission fails, storing and processing data records generated by transmission if all the single data information transmission succeeds, and sending the data records to other nodes for consensus.
As a further technical scheme of the invention, the control system adopts a preset connection mode to send a first data control instruction to the CPU, and the control system controls the CPU to execute a first data control operation; the CPU transmits the second data control instruction to the next-stage digital mobile communication module by executing the first data control instruction.
The invention has the positive beneficial effects that compared with the prior art:
the invention can extract the voice meeting and the live meeting from the staff representative meeting organization system by constructing the staff representative meeting organization system, and collect voice data information and video data information from the voice meeting and the live meeting respectively, wherein the voice data information at least comprises semantics, grammar, phonemes, voice conversion protocols and voice communication protocols; the video data information at least comprises a computer visual background, a video format, a time length, a color, a tone, a data frame, a video information conversion protocol and a video information communication protocol.
Drawings
For a clearer description of embodiments of the invention or of solutions in the prior art, the drawings that are necessary for the description of the embodiments or of the prior art will be briefly described, it being apparent that the drawings in the description below are only some embodiments of the invention, from which, without inventive faculty, other drawings can be obtained for a person skilled in the art, in which:
FIG. 1 is a schematic flow chart of a method for managing a job conference by online live broadcast and voice interaction of a job member;
FIG. 2 is a schematic diagram of a digital signal processing unit according to an embodiment of the present invention;
fig. 3 is a flow chart of a signaling data link operation method according to the present invention.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the embodiments described herein are for illustration and explanation of the present invention only, and are not intended to limit the present invention.
As shown in fig. 1-3, a method for managing a live and voice interaction job conference of a job member on line, wherein: the method comprises the following steps:
step 1, constructing a staff representative meeting organization system, extracting a voice meeting and a live meeting from the staff representative meeting organization system, and collecting voice data information and video data information from the voice meeting and the live meeting respectively, wherein the voice data information at least comprises semantics, grammar, phonemes, a voice conversion protocol and a voice communication protocol; the video data information at least comprises computer visual background, video format, duration, color, tone, data frame and video information conversion protocol and video information communication protocol;
Voice data generally refers to data recorded by voice and data transmitted by voice, and is also a commonly-spoken sound file.
The voice data labeling is to perform semantic, grammar, phonemic and other multi-level labeling on the voice data, so that a machine learns rules from the voice data, and the man-machine voice interaction technology is realized.
Video data may be described in terms of story units, scenes, shots, frames.
In a specific embodiment, in the data information interaction process, the voice data information and the video data information can also be live broadcast voice information of a worker member, image data of a periodic movement part, voice interaction information or transmission data information, and the format of the data information is audio, video, text or data information stream and the like.
The invention can automatically decompose, classify and calculate the collected voice data information and video data information to improve the data information calculation capability, such as decomposing audio or information, characterizing and decomposing the voice data information into N small wave bands through a time threshold wave band, decomposing different information in the audio information to read novel content of different voice data, and improving the voice interaction job meeting management capability.
Step 2, transmitting voice data information or video data information, and transmitting the received voice data information or video data information to a control system through a mobile communication module, wherein the control system processes the demodulated voice data information or video data information through a digital signal processing unit; the sharing of voice data information or video data information is realized through the sharer; the mobile communication module comprises a GSM radio frequency chip, a baseband processing chip, a memory and a power amplifier device, wherein the baseband processing chip, the memory and the power amplifier device are connected with the GSM radio frequency chip;
in a specific embodiment, because the voice industry and the live broadcasting industry are different groups, in the process of realizing different information interaction between the voice industry and the live broadcasting industry, data information output by the two industry needs to be managed, information interaction of different works is realized in a data information processing and information interaction mode, and even if the voice industry and the live broadcasting industry are positioned at different positions, real-time information interaction can still be performed, so that the interaction capability of online live broadcasting and voice interaction of the members of the industry is improved, the information interaction capability of a representative party of the worker is further improved, and therefore the management capability of the office is improved.
The digital signal processing unit comprises a data feature decomposition module, a data information recognition module, a data mining module, a data information classification module and a data information distribution module, wherein the data feature decomposition module is used for decomposing the features of voice data information or video data information, the data information recognition module is used for recognizing the features of the decomposed voice data information or video data information, the data mining module is used for analyzing the features of the decomposed voice data information or video data information, the data information classification module is used for classifying the features of the voice data information or video data information so as to facilitate user recognition or application, and the data information distribution module is used for transmitting the classified features of the voice data information or video data information from one data terminal to the other data terminal according to a data communication protocol; the output end of the data characteristic decomposition module is connected with the input end of the data information identification module, the output end of the data information identification module is connected with the input end of the data mining module, the output end of the data mining module is connected with the input end of the data information classification module, and the output end of the data information classification module is connected with the input end of the data information distribution module;
In a specific embodiment, the digital signal processing unit can perform data processing, calculation and analysis on the voice data information or the video data information, so as to improve the processing capability of the voice data information and the video data information.
Step 3, carrying out security diagnosis on the data information output by the digital signal processing unit through a parity check method, and intelligently sensing live broadcast and voice data information through a digital line sensing module before the sharer receives the data information, wherein the digital line sensing module realizes digital information transmission fault detection through abnormal digital information sensing, and the abnormal digital information sensing adopts a distributed fault ranging method to realize fault ranging; the parity check method realizes transmission system fault detection by checking and identifying transmission system errors; the parity check method realizes data check by a judging system through odd check or even check, and the data information transmitting end and the receiving end adopt the same check method for check;
step 4, the sharer is subjected to live broadcast and voice information control link through a signaling link control module HDLC, the screened alarm data are analyzed and processed, the live broadcast and voice data are monitored in a centralized manner, and an affected digital transmission channel is detected; the signaling link control module sends signaling information to another signaling point through a signaling data link to ensure reliable transmission of the information between the signaling points, the signaling point adopts a second-stage function to convert signaling information transmitted by an upper stage into signal units with different lengths and transmits the signal units to the signaling link, the signal units comprise the signaling information and control information, and the control information realizes information transmission through the control signaling link;
Step 5, receiving the monitored data information through a work management terminal, wherein the work management terminal is provided with a channel demodulator, and the work management terminal is arranged as a front-end channel demodulation channel and a rear-end information source decoding channel so as to improve the interactive capability of the work data communication; the work management terminal is a functional module which is provided with an independent operating system, GSM radio frequency processing and baseband processing and provides a standard interface; in a specific embodiment, the independent autonomous capability can rapidly and accurately process data information, and meanwhile, the data information storage function is realized.
In the above embodiment, the working method of the data feature decomposition module is as follows:
splitting the collected voice data information or video data information into a plurality of small fragments, and recording the fragments as:
in the formula (1), the components are as follows,Prepresents the collection of the collected voice or video data information source voice segment voice frequency domain quantity,prepresenting the parsed pieces of voice or video data information,nthe number of the acquired voice or data information fragments is referred to;
decomposed speech or video segment vectorsv i Each region of (3)k ij The gradient value function of (2) is:
in the formula (2), the amino acid sequence of the compound,
representing a function of the decomposed voice or video clip information, < > >
And->
Representing the function of decomposed voice or video clip informationxAndya coordinate gradient function in whichxGradient function of voice or video information in axial directiong ij （x) Gradient function of voice or video information in y direction asg ij （y) The gradient value of the collected voice or video fragment area is recorded ask ij （j=1，2，…，w），iRefers to the number of a voice or video clip,i=（1，2，…，n）。
in a specific embodiment, in the interaction process of voice or video data information, after source data of an application system are acquired through acquisition, voice or video data secondary processing is performed according to service rules, system rules, request rules and the like defined by the system, three data processing processes of data extraction, conversion and loading are completed in an extraction management domain, data decomposition is realized on different data information through various modes such as noise reduction, segmentation and syllable extraction, and gradient values of voice frequency domain quantity of each voice segment are decomposed, so that data information decomposition and application capability are improved. By decomposing, voice or video data information can be materialized and decomposed.
In the above embodiment, the working method of the data information identification module is as follows:
and recording the gradient value function of the decomposed voice or video data information as:
In the formula (3), the amino acid sequence of the compound,G i a gradient set representing the frequency domain quantity of the acquired voice or video clip voice,U i S i V i representation ofG i Is a decomposition of the gradient values of (a),S i diagonal 4 x 4 matrix representing principal direction vector of acquired speech or video segment, when obtainedS i Then, a main direction metric is calculatedR，RThe calculation function of (2) is shown as the formula (4):
in the formula (4), the amino acid sequence of the compound,Rrepresenting the primary direction metric and,
and->
Respectively representing adjacent segment data functions of the decomposed voice or video;
Rthe smaller the decomposed speech or video segment vector is, the finer, in which case the threshold should be calculatedRTo distinguish between random and dominant directional speech frequency domain quantities of the speech source speech segments. In order to improve the voice or video recognition capability, an effective low-pass filter is adopted to realize the filtration of various voice or video clip information.
In a specific embodiment, the voice data information may be decomposed by different contents such as semantics, grammar, phonemes, and the like, and in a specific embodiment, the voice data information may be decomposed by different data information such as phonemes, and the like. The video data information is for example by means of data frames or the like.
In the above embodiment, the data mining module optimizes the algorithm model for the acquired voice through the MPEC of the equalization constraint programming problem Or mining or analyzing video data information, wherein the output function is M, and the optimal audio data information output function is:
(5)
in the formula (5), the amino acid sequence of the compound,
minimum loss function value representing information output waveform of audio or video data, < +.>
Representing the total information data waveform allowed to pass through audio or video in the transmission of audio or video data information, < >>
Representing the energy value that the audio or video information has during the transfer process,/or->
Representing the time of transfer of information of audio or video data, +.>
Representing a degree of distortion in the transfer of audio or video data information;
where loss represents minimum loss information of an audio or video data information output waveform, m represents a flag of a total information data waveform, g represents an energy value information flag, k represents an information delivery time flag, and c represents a distortion degree flag.
When the waveform balance data function of the audio or video data information meets the following identity, the novel distortion degree of the decomposed voice or video data is minimum, and the balance data function is as follows:
in the formula (6), P represents the energy value of the audio data information under the condition of no external interference, U represents the audio quality of the audio information after the voice communication system is accessed, G ij Representing audio signals The amplitude of the message changes during the message transfer,
representing the phase angle formed by the voice information and the external interference data information in the transmission process, < >>
Representing a voice or video information balance factor;
the equilibrium constraint conditions of no distortion in the voice or video data information transfer process are:
in the formula (7) of the present invention,
representing the minimum value of the audio quality allowed by the access point of the audio or video data information, < >>
Indicating that the access point passes the audio quality standard +.>
An audio quality threshold representing total audio information of the access point;
in a specific embodiment, the voice generating area generally occurs inside and outside the sound field and the variable sound field, and a voice detection device is arranged at the voice generating area to realize voice detection point information acquisition and accurate positioning and reporting of distorted data information. By analyzing the sound field and the voice detection device information arranged inside and outside the loudspeaker, the accurate positioning reporting of the data information is realized, and the linkage with the environment monitoring and video monitoring data can be realized.
On the basis, the invention provides algorithms for user voice segment collection, denoising, segmentation and syllable extraction, and provides information such as user area change, centroid position, sharp angle number, circularity and the like as voice criteria, and uses a fuzzy neural network to perform data fusion on the characteristic parameters so as to make voice judgment.
In user recognition, a segmented speech frequency domain feature model is set, which is expressed by the following formula:
the reason for adopting the mode is that the user presents different voice frequency domain characteristics in different sound field environments, the voice frequency domain characteristics of the user can be judged by setting the segmented voice frequency domain characteristic model, and the sound field environment of the user can be primarily deduced by contrasting color plates of different voice frequency domain characteristics. The following sets of user data for different speech frequency domain features are expressed by the following formulas. Through a number of tests, the user's speech frequency domain feature set when speech occurs within the sound field can be expressed as:
calculating the difference between the actual voice frequency domain features and the template sample voice frequency domain features through Euclidean distances by using feature vectors of different voice frequency domain features, wherein the equation is expressed as follows:
in the formula (11), the color of the sample is,xwhen voice occurs in the sound field range, the characteristic vector in the user voice frequency domain characteristic set is represented;yrepresenting that feature vectors to be matched are input when speech occurs within the sound field,x i 、y i representing feature components corresponding to features of the input speech segment information.
The method adopted by the audio information analysis is that loudness evaluation value, sensitivity characteristic and sidetone masking screen evaluation value are analyzed, wherein the loudness evaluation value function is recorded as:
In the formula (12), LR is a loudness evaluation value function, and m represents the transmission medium density; w (w) i For the weighting coefficient of each frequency point S i For sensitivity to the medium during transmission of audio or data information.
In a specific embodiment, the sensitivity characteristic function measures the sound fullness by converting the sound signal into an electrical signal or recovering the electrical signal into a frequency response characteristic of the sound signal, by defining upper and lower limits for the audio data information in the 4kH z range;
in a specific embodiment, the loudness evaluation value is obtained by summing the frequency points (1/3 octaves apart) in the speech frequency band (20 0 hz-4000 hz). When the loudness evaluation value is not satisfactory, adjustments are required to the amplifier (analog or digital) and the ag C, etc. of the terminal, but care should be taken not to introduce too high a gain, which might otherwise cause the amplifier or acoustic device to saturate and cause distortion.
The sensitivity characteristic function is used for measuring the sound fullness degree by converting a sound signal into an electric signal or recovering the electric signal into the frequency response characteristic of the sound signal and defining an upper limit value and a lower limit value for the audio data information in the range of 4kH z;
In the above embodiment, the data information classification module performs smooth classification on the voice or video data information by using a two-dimensional gaussian blur function, where the two-dimensional gaussian blur function is expressed as:
in the formula (13), the amino acid sequence of the compound,xis the distance of the acquired voice or video data information from the origin on the horizontal axis,yis the distance of the acquired voice or video data information from the origin on the vertical axis, σ is the standard deviation of the gaussian distribution, σ is variable, between 3 and 10.5.
In the above embodiment, the output function of the MPEC optimization algorithm model for the equalization constraint planning problem is:
in the formula (14), the amino acid sequence of the compound,
constraint data indicative of the first output waveform cycle, < +.>
Representing constraint conditions of waveform output in a neighborhood range, wherein Y represents a user demand feedback tone quality standard;
calculating the change of the tone quality of the audio information in the transmission process through an MPEC mathematical model, and planning the audio tone quality balance condition between the audio information and a user as follows:
in the formula (15), the amino acid sequence of the compound,
minimum audio waveform representing audio information output under MPEC mathematical model, +.>
Representing the minimum audio waveform of the audio waveform received at the end of the power transmission audio information.
In the above embodiment, the working method of the data information distribution module is as follows:
The classified data information is received through the universal synchronous and asynchronous transceiver HDR7, and the asynchronous data and the synchronous data are received simultaneously without barriers through adding a receiver, a check bit checker, a logic controller, a shift register and a two-stage receiving buffer, and frame errors, overflow data and check errors are detected.
The data to be sent is prepared in the random access memory, the temporary data storage medium of the random access memory is adopted to realize the writing or reading of information from any appointed address, the random access memory is connected with the CPU in a barrier-free manner to realize the data exchange, and the information is directly obtained from the CPU in a circuit communication manner to improve the data information reading and writing speed.
In particular embodiments, data information interaction may be enhanced by MSM82C51A-2RS control or STM32 universal synchronous/asynchronous transceiver, STM32 universal synchronous/asynchronous transceiver.
In the above embodiment, the sharer receiving end divides the transmission start and stop characters by screening the serial data stream to ensure character synchronization, realizes synchronous transmission and asynchronous transmission simultaneously by two channels, and converges into a bit stream through circuit switching to reach the destination; the formula of the data information output function received by the sharer is as follows:
In the formula (16) of the present invention,
for total transmission data information->
Transmitting data information for asynchronous transmission,/->
Transmitting data information for synchronous transmission, wherein a is repeated data information in the transmission process, and dB is the transmission data quantity; the transmission capacity versus output function formula is:
in the formula (17), K is the total transmission loss, Z is the free space loss,
for asynchronous transmission loss>
For synchronous transmission loss.
In the above embodiment, the working method of the signaling data link includes the following steps:
step one, transmitting all single data information through a superior signaling point, wherein the superior signaling point extracts data information type characteristics through c-od-c and groups the data information type characteristics, and the data information type groups comprise heterogeneous information groups and similar data information groups;
step two, the heterogeneous information group and the similar data information group realize transmission request to a subordinate signaling point through a one-to-many signaling link;
step three, the subordinate signaling point completes information verification by judging the validity of the data information, if the verification is passed, the step four operation is executed, and if the verification is failed, the transmission failure is judged;
and step four, processing each piece of different information in the data transmission according to a one-to-one data transmission logic sequence by the lower stage, stopping transmission if the single data transmission fails, stopping transmission, and if the whole data transmission fails, storing and processing data records generated by transmission if all the single data information transmission succeeds, and sending the data records to other nodes for consensus.
In the above embodiment, the control system sends a first data control instruction to the CPU in a preset connection manner, and the control system controls the CPU to execute a first data control operation; the CPU transmits the second data control instruction to the next-stage digital mobile communication module by executing the first data control instruction.
In a specific embodiment, data, pictures and audio information can be implanted in the data information code stream, and the data information code stream is a source code stream, so that compression and unpacking can be performed more quickly, and redundant parts in the information are removed, so that the user terminal analyzes the content contained in the data information.
While specific embodiments of the present invention have been described above, it will be understood by those skilled in the art that these specific embodiments are by way of example only, and that various omissions, substitutions, and changes in the form and details of the methods and systems described above may be made by those skilled in the art without departing from the spirit and scope of the invention. For example, it is within the scope of the present invention to combine the above-described method steps to perform substantially the same function in substantially the same way to achieve substantially the same result. Accordingly, the scope of the invention is limited only by the following claims.
Claims (10)
1. A staff member online live broadcast and voice interaction staff management method is characterized in that: the method comprises the following steps:
step 1, constructing a staff representative meeting organization system, extracting a voice meeting and a live meeting from the staff representative meeting organization system, and collecting voice data information and video data information from the voice meeting and the live meeting respectively, wherein the voice data information at least comprises semantics, grammar, phonemes, a voice conversion protocol and a voice communication protocol; the video data information at least comprises computer visual background, video format, duration, color, tone, data frame and video information conversion protocol and video information communication protocol;
step 2, transmitting voice data information or video data information, and transmitting the received voice data information or video data information to a control system through a mobile communication module, wherein the control system processes the demodulated voice data information or video data information through a digital signal processing unit; the sharing of voice data information or video data information is realized through the sharer; the mobile communication module comprises a GSM radio frequency chip, a baseband processing chip, a memory and a power amplifier device, wherein the baseband processing chip, the memory and the power amplifier device are connected with the GSM radio frequency chip;
The digital signal processing unit comprises a data feature decomposition module, a data information recognition module, a data mining module, a data information classification module and a data information distribution module, wherein the data feature decomposition module is used for decomposing the features of voice data information or video data information, the data information recognition module is used for recognizing the features of the decomposed voice data information or video data information, the data mining module is used for analyzing the features of the decomposed voice data information or video data information, the data information classification module is used for classifying the features of the voice data information or video data information so as to facilitate user recognition or application, and the data information distribution module is used for transmitting the classified features of the voice data information or video data information from one data terminal to the other data terminal according to a data communication protocol; the output end of the data characteristic decomposition module is connected with the input end of the data information identification module, the output end of the data information identification module is connected with the input end of the data mining module, the output end of the data mining module is connected with the input end of the data information classification module, and the output end of the data information classification module is connected with the input end of the data information distribution module;
Step 3, carrying out security diagnosis on the data information output by the digital signal processing unit through a parity check method, and intelligently sensing live broadcast and voice data information through a digital line sensing module before the sharer receives the data information, wherein the digital line sensing module realizes digital information transmission fault detection through abnormal digital information sensing, and the abnormal digital information sensing adopts a distributed fault ranging method to realize fault ranging; the parity check method realizes transmission system fault detection by checking and identifying transmission system errors; the parity check method realizes data check by a judging system through odd check or even check, and the data information transmitting end and the receiving end adopt the same check method for check;
step 4, the sharer is subjected to live broadcast and voice information control link through a signaling link control module HDLC, the screened alarm data are analyzed and processed, the live broadcast and voice data are monitored in a centralized manner, and an affected digital transmission channel is detected; the signaling link control module sends signaling information to another signaling point through a signaling data link to ensure reliable transmission of the information between the signaling points, the signaling point adopts a second-stage function to convert signaling information transmitted by an upper stage into signal units with different lengths and transmits the signal units to the signaling link, the signal units comprise the signaling information and control information, and the control information realizes information transmission through the control signaling link;
Step 5, receiving the monitored data information through a work management terminal, wherein the work management terminal is provided with a channel demodulator, and the work management terminal is arranged as a front-end channel demodulation channel and a rear-end information source decoding channel so as to improve the interactive capability of the work data communication; the job management terminal is provided with an independent operating system and GSM
And the functional module is used for radio frequency processing, baseband processing and standard interface providing.
2. The method for managing an online live and voice interaction job title of a job member according to claim 1, wherein: the working method of the data characteristic decomposition module comprises the following steps:
splitting the collected voice data information or video data information into a plurality of small fragments, and recording the fragments as:
in the formula (1), the components are as follows,Prepresents the collection of the collected voice or video data information source voice segment voice frequency domain quantity,prepresenting the parsed pieces of voice or video data information,nthe number of the acquired voice or data information fragments is referred to;
decomposed speech or video segment vectorsv i Each region of (3)k ij The gradient value function of (2) is:
in the formula (2), the amino acid sequence of the compound,
representing a function of the decomposed voice or video clip information, < >>
And->
Representing the function of decomposed voice or video clip information xAndya coordinate gradient function in whichxGradient function of voice or video information in axial directiong ij （x) Gradient function of voice or video information in y direction asg ij （y) The gradient value of the collected voice or video fragment area is recorded ask ij （j=1，2，…，w），iRefers to the number of a voice or video clip,i=（1，2，…，n）。
3. the method for managing an online live and voice interaction job title of a job member according to claim 1, wherein: the working method of the data information identification module is as follows:
and recording the gradient value function of the decomposed voice or video data information as:
in the formula (3), the amino acid sequence of the compound,G i a gradient set representing the frequency domain quantity of the acquired voice or video clip voice,U i S i V i representation ofG i Is a decomposition of the gradient values of (a),S i diagonal 4 x 4 matrix representing principal direction vector of acquired speech or video segment, when obtainedS i Then, a main direction metric is calculatedR，RThe calculation function of (2) is shown as the formula (4):
in the formula (4), the amino acid sequence of the compound,Rrepresenting the primary direction metric and,
and->
Representing adjacent segment data functions of the decomposed speech or video, respectively.
4. The method for managing an online live and voice interaction job title of a job member according to claim 1, wherein: the data mining module is used for mining or analyzing the collected voice or video data information through an MPEC (equalization constraint planning) optimization algorithm model, wherein the output function is M, and the optimal audio data information output function is:
In the formula (5), the amino acid sequence of the compound,
minimum loss function value representing information output waveform of audio or video data, < +.>
Representing the total information data waveform allowed to pass through audio or video in the transmission of audio or video data information, < >>
Representing the energy value that the audio or video information has during the transfer process,/or->
Representing the time of transfer of information of audio or video data, +.>
Representing a degree of distortion in the transfer of audio or video data information;
when the waveform balance data function of the audio or video data information meets the following identity, the novel distortion degree of the decomposed voice or video data is minimum, and the balance data function is as follows:
in the formula (6), P represents the energy value of the audio data information under the condition of no external interference, and U represents the sound after the voice call system is accessedAudio quality of audio information, G ij Representing the amplitude change during the delivery of the audio information,
representing the phase angle formed by the voice information and the external interference data information in the transmission process, < >>
Representing a voice or video information balance factor;
the equilibrium constraint conditions of no distortion in the voice or video data information transfer process are:
in the formula (7) of the present invention,
representing the minimum value of the audio quality allowed by the access point of the audio or video data information, < > >
Indicating that the access point passes the audio quality standard +.>
An audio quality threshold representing total audio information of the access point;
the method adopted by the audio information analysis is that loudness evaluation value, sensitivity characteristic and sidetone masking screen evaluation value are analyzed, wherein the loudness evaluation value function is recorded as:
in the formula (8), LR is a loudness evaluation value function, and m represents the transmission medium density; w (w) i For the weighting coefficient of each frequency point S i For sensitivity to the medium during transmission of audio or data information.
5. The method for managing an online live and voice interaction job title of a job member according to claim 1, wherein:
the data information classification module adopts a two-dimensional Gaussian blur function to carry out smooth classification on voice or video data information, and the two-dimensional Gaussian blur function is expressed as:
in the formula (9), the amino acid sequence of the compound,xis the distance of the acquired voice or video data information from the origin on the horizontal axis,yis the distance of the acquired voice or video data information from the origin on the vertical axis, σ is the standard deviation of the gaussian distribution, σ is variable, between 3 and 10.5.
6. The method for managing an online live and voice interaction job title of a staff member according to claim 4, wherein: the output function of the MPEC optimization algorithm model of the equalization constraint planning problem is as follows:
In the formula (10), the amino acid sequence of the compound,
constraint data indicative of the first output waveform cycle, < +.>
Representing constraint conditions of waveform output in a neighborhood range, wherein Y represents a user demand feedback tone quality standard;
calculating the change of the tone quality of the audio information in the transmission process through an MPEC mathematical model, and planning the audio tone quality balance condition between the audio information and a user as follows:
in the formula (11), the amino acid sequence of the compound,
minimum audio waveform representing audio information output under MPEC mathematical model, +.>
Representing the minimum audio waveform of the audio waveform received at the end of the power transmission audio information.
7. The method for managing an online live and voice interaction job title of a job member according to claim 1, wherein: the working method of the data information distribution module comprises the following steps:
the classified data information is received through a universal synchronous asynchronous receiver (HDR 7), and the asynchronous data and the synchronous data are received simultaneously without barriers through adding a receiver, a check bit checker, a logic controller, a shift register and a two-stage receiving buffer, and frame errors, overflow data and check errors are detected;
the data to be sent is prepared in the random access memory, the temporary data storage medium of the random access memory is adopted to realize the writing or reading of information from any appointed address, the random access memory is connected with the CPU in a barrier-free manner to realize the data exchange, and the information is directly obtained from the CPU in a circuit communication manner to improve the data information reading and writing speed.
8. The method for managing an online live and voice interaction job title of a job member according to claim 2, wherein: the receiving end of the sharing device divides the transmission start and stop characters through screening serial data streams to ensure character synchronization, realizes synchronous transmission and asynchronous transmission through double channels, and converges the synchronous transmission and the asynchronous transmission into bit streams through circuit switching to directly reach the destination; the formula of the data information output function received by the sharer is as follows:
in the formula (12) of the present invention,
for total transmission data information->
Transmitting data information for asynchronous transmission,/->
Transmitting data information for synchronous transmission, wherein a is repeated data information in the transmission process, and dB is the transmission data quantity; the transmission capacity versus output function formula is:
in the formula (13), K is the total transmission loss, Z is the free space loss,
for asynchronous transmission loss>
For synchronous transmission loss.
9. The method for managing an online live and voice interaction job title of a job member according to claim 1, wherein: the working method of the signaling data link comprises the following steps:
step one, transmitting all single data information through a superior signaling point, wherein the superior signaling point extracts data information type characteristics through c-od-c and groups the data information type characteristics, and the data information type groups comprise heterogeneous information groups and similar data information groups;
Step two, the heterogeneous information group and the similar data information group realize transmission request to a subordinate signaling point through a one-to-many signaling link;
step three, the subordinate signaling point completes information verification by judging the validity of the data information, if the verification is passed, the step four operation is executed, and if the verification is failed, the transmission failure is judged;
and step four, processing each piece of different information in the data transmission according to a one-to-one data transmission logic sequence by the lower stage, stopping transmission if the single data transmission fails, stopping transmission, and if the whole data transmission fails, storing and processing data records generated by transmission if all the single data information transmission succeeds, and sending the data records to other nodes for consensus.
10. The method for managing an online live and voice interaction job title of a job member according to claim 1, wherein: the control system sends a first data control instruction to the CPU in a preset connection mode, and the control system controls the CPU to execute a first data control operation; the CPU transmits the second data control instruction to the next-stage digital mobile communication module by executing the first data control instruction.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310468783.5A CN116192815B (en) | 2023-04-27 | 2023-04-27 | Online live broadcast and voice interaction job conference management method for staff members |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310468783.5A CN116192815B (en) | 2023-04-27 | 2023-04-27 | Online live broadcast and voice interaction job conference management method for staff members |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN116192815A true CN116192815A (en) | 2023-05-30 |
| CN116192815B CN116192815B (en) | 2023-08-01 |
Family
ID=86446601
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310468783.5A Active CN116192815B (en) | 2023-04-27 | 2023-04-27 | Online live broadcast and voice interaction job conference management method for staff members |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116192815B (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103905833A (en) * | 2013-07-12 | 2014-07-02 | 吉首大学 | Distributed network video data mining and collecting system based on cloud calculation |
| WO2015017836A2 (en) * | 2013-08-02 | 2015-02-05 | Prospero Analytics, Inc. | Real-time data analtyitcs for enhancing sales and other support functions |
| US20160227282A1 (en) * | 2013-10-10 | 2016-08-04 | The Trustees Of Columbia University In The City Of New York | Methods and systems for aggregation and organization of multimedia data acquired from a plurality of sources |
| CN110569720A (en) * | 2019-07-31 | 2019-12-13 | 安徽四创电子股份有限公司 | audio and video intelligent identification processing method based on audio and video processing system |
| CN110598075A (en) * | 2019-08-21 | 2019-12-20 | 成都信息工程大学 | Internet media content safety monitoring system and method based on artificial intelligence |
| CN114861038A (en) * | 2022-03-31 | 2022-08-05 | 广州方硅信息技术有限公司 | Live broadcast service data processing method and device, equipment and medium thereof |
-
2023
- 2023-04-27 CN CN202310468783.5A patent/CN116192815B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103905833A (en) * | 2013-07-12 | 2014-07-02 | 吉首大学 | Distributed network video data mining and collecting system based on cloud calculation |
| WO2015017836A2 (en) * | 2013-08-02 | 2015-02-05 | Prospero Analytics, Inc. | Real-time data analtyitcs for enhancing sales and other support functions |
| US20160227282A1 (en) * | 2013-10-10 | 2016-08-04 | The Trustees Of Columbia University In The City Of New York | Methods and systems for aggregation and organization of multimedia data acquired from a plurality of sources |
| CN110569720A (en) * | 2019-07-31 | 2019-12-13 | 安徽四创电子股份有限公司 | audio and video intelligent identification processing method based on audio and video processing system |
| CN110598075A (en) * | 2019-08-21 | 2019-12-20 | 成都信息工程大学 | Internet media content safety monitoring system and method based on artificial intelligence |
| CN114861038A (en) * | 2022-03-31 | 2022-08-05 | 广州方硅信息技术有限公司 | Live broadcast service data processing method and device, equipment and medium thereof |
Also Published As
| Publication number | Publication date |
|---|---|
| CN116192815B (en) | 2023-08-01 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US20200075012A1 (en) | Methods, apparatuses, systems, devices, and computer-readable storage media for processing speech signals | |
| US8204759B2 (en) | Social analysis in multi-participant meetings | |
| CN108564941A (en) | Audio recognition method, device, equipment and storage medium | |
| CN108062212A (en) | A kind of voice operating method and device based on scene | |
| CN107578770A (en) | Networking telephone audio recognition method, device, computer equipment and storage medium | |
| CN113762377B (en) | Network traffic identification method, device, equipment and storage medium | |
| CN110232553A (en) | Meeting support system and computer-readable recording medium | |
| CN112165599A (en) | Automatic conference summary generation method for video conference | |
| CN109671430A (en) | A kind of method of speech processing and device | |
| CN108538290A (en) | A kind of intelligent home furnishing control method based on audio signal detection | |
| CN108345251A (en) | Processing method, system, equipment and the medium of robot perception data | |
| CN112672086B (en) | Audio and video equipment data acquisition, analysis, early warning system | |
| WO2024099359A1 (en) | Voice detection method and apparatus, electronic device and storage medium | |
| CN101950564A (en) | Remote digital voice acquisition, analysis and identification system | |
| CN116192815B (en) | Online live broadcast and voice interaction job conference management method for staff members | |
| CN110444225B (en) | Sound source target identification method based on feature fusion network | |
| CN113688953B (en) | Industrial control signal classification method, device and medium based on multilayer GAN network | |
| CN112417974A (en) | Public health monitoring method | |
| CN113689855A (en) | Conference record generation system, method, device and storage medium | |
| CN114155845A (en) | Service determination method and device, electronic equipment and storage medium | |
| WO2021103589A1 (en) | Signaling analysis method and related apparatus | |
| CN112420146A (en) | Information security management method and system | |
| CN116189706A (en) | Data transmission method, device, electronic equipment and computer readable storage medium | |
| CN112800035A (en) | GIS (geographic information System) -based power grid data communication sharing system | |
| CN113593603A (en) | Audio category determination method and device, storage medium and electronic device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |