CN110363639A - A kind of financial management system based on artificial intelligence - Google Patents
A kind of financial management system based on artificial intelligence Download PDFInfo
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Abstract
The invention discloses a kind of financial management systems based on artificial intelligence, including sound recording module, speech-to-text unit, voice print matching module, vocal print to log in library, intelligent decision module, authority keys library, processor, display module, storage unit, financial system access unit and financial system；The present invention passes through sound groove recognition technology in e, obtain the user of corresponding voice secret order, but it at this time will not be simply by the user's checking, it later can be according to the pet name of user, voice data is largely logged in front of obtaining it, it can be according to the interval habit of speaking of user when voice data is enough, by the interval time between each word of this voice, it is compared with the mass data library established before, obtain whether this meets corresponding rule, it is verified if meeting by this, just will continue to verifying other business, guarantee the safety of this system.
Description
Technical field
The invention belongs to financial management field, it is related to a kind of artificial intelligence technology, it is specifically a kind of based on artificial intelligence
Financial management system.
Background technique
Financial management system divides traditional financial management system and modern financial management system.Traditional financial management system is main
It is to expand other some financial operations on this basis based on accounting event.Such as general ledger management, production financial statement
Deng.Modern financial management system is on traditional financial management system basis, then has expanded some other financial operations.Big portion
It point is such as Individual Income Tax calculator, financial budget in terms of financing.Currently, modern financial management system software master
There are Oracle e-commerce suite, golden dish, UF, Workflow's ERP series etc..
Currently, the security protection of financial system is more rudimentary, logs in and is common in by simple username and password progress
It logs in, for financial system, safety cannot get sufficient guarantee for this；And the financial system of a company can be described as
One of core of company, therefore the importance for carrying out security protection to financial system is self-evident, in order to make up the prior art
Deficiency now provides a solution.
Summary of the invention
The purpose of the present invention is to provide a kind of financial management systems based on artificial intelligence.
The purpose of the present invention can be achieved through the following technical solutions:
A kind of financial management system based on artificial intelligence, including sound recording module, speech-to-text unit, vocal print
Library is logged in module, vocal print, intelligent decision module, authority keys library, processor, display module, storage unit, financial system connect
Enter unit and financial system；
Wherein, the sound recording module is used to obtain the voice secret order of login user, and voice secret order includes regular speech
And characteristic voice, voice key when regular speech logs in for user, characteristic voice are to embody each user to financial system
The voice of operating right, characteristic voice present position and content self are arranged and stored in vocal print for user and log in library, feature language
Sound and all regular speech contents are inconsistent；And the voice secret order of all users does not duplicate content；The sound typing
Module is used to voice secret order being transferred to speech-to-text unit and vocal print matching module；
The vocal print, which logs in, to be stored with the vocal print feature for allowing login user and logs in voice data in library, log in voice number
According to the recording to say voice secret order before user when logging in；The vocal print, which logs in Ku Nei and is also stored with, allows login user corresponding
Authority credentials, authority credentials be user can to financial system carry out operating right；
The voice print matching module, which is used to that vocal print to be combined to log in library, carries out identification operation, concrete operation step to voice secret order
Are as follows:
Step 1: the identity of current speaker is tentatively recognized according to sound groove recognition technology in e, speaker is marked wait log in
User；
Step 2: logging in obtain in library from vocal print and log in voice data to all before login user, to logging in language
Sound database carries out Data Summary processing, specific processing step are as follows:
S1: get it is all log in voice data, voice data will be logged in labeled as Yi, i=1...n；
S2: optional one logs in voice data Yi；
S3: the total number of word S1 that this logs in voice data is got, specific acquisition methods are, when detecting the presence of default
Between T1 when not monitoring that user speaks, be demarcated as finishing a word, obtain total number of word S1；And T1 is preset value；
S4: pronunciation interval time the group Gi, i=1...S1-1 of all numbers of words between any two are got；This item is obtained to log in
The pronunciation interval time group Gi of voice data；
S5: choosing next and log in voice data Yi, repeat step S3-S4, obtains this corresponding and logs in voice data
Pronunciation interval time group；
S6: step S5 is repeated, obtains all pronunciation interval time groups for logging in voice data, and be marked as Gij, i
=1...S1-1, j=1...n；Wherein Gij can indicate that j-th strip logs between i-th of word of voice data and i+1 word
Time interval；
Step 3: data rejecting, specific steps are carried out to Gij are as follows:
S1: enabling i=1, gets G1j；
S2: getting the average value of G1j, is marked as calculating all G1j and an ancient unit of weight every the difference of time every the time；
S3: being ranked up G1j according to difference, rejects G1j and corresponds to the maximum value and minimum value of difference, and recalculates flat
Mean value, by the average value labeled as mark mean value B1；
S4: enabling i=i+1, repeats step S3-S5 and obtains all Gij, corresponding mark mean value Bi；
Step 4: it gets the current vocal print of user and logs in all item number j for logging in voice data in library；
Step 5: when j >=X2 then carries out step 6 to step 7 when X2 is preset value；Otherwise eight are gone to step；
Step 6: it gets to this voice secret order of login user, it is close that voice is got according to the principle of step S3-S4
The interval time Di, i=1...S1-1 of order；
Step 7: formula is utilizedBe calculated interval time Di and mark mean value Bi it
Between the steady value Q of difference；When surely value Q is lower than preset value X1 to difference, labeled as the first login user and will be generated to login user
Correct signal, while the authority credentials of corresponding first login user is obtained, and the voice secret order of this user is transferred to vocal print and is stepped on
Lu Ku is stored as voice data is logged in；Otherwise error signal is generated；
The voice print matching module is used to correct signal, the first login user and corresponding authority value being transferred to intelligent decision
Module；
The speech-to-text unit receives sound recording module and is transferred to voice secret order, and the speech-to-text unit is used
In carrying out speech-to-text operation to voice secret order, text secret order is obtained；The speech-to-text unit is used for text secret order
It is transferred to intelligent decision module；
The authority keys inventory contains login user and its corresponding standard feature text；The intelligent decision module is used
It is obtained in combining authority keys library to carry out approval process to text secret order, correct signal, the first login user and corresponding authority value
Access signal and corresponding access user and refusal signal；
Access signal, access user and corresponding authority value are transferred to by the intelligent decision module when generating access signal
Processor；When the processor receives access signal, the first login user and the corresponding authority value of intelligent decision module transfer,
First login user is given to access financial system according to corresponding authority value automatically by financial system access unit.
Further, the specific processing step of the approval process are as follows:
SS1: by voice command, it is converted to text, gets the corresponding real-time characteristic text in characteristic voice part；
It: being compared with standard feature text by real-time characteristic text, obtain its corresponding authority credentials by SS2, and
By the value labeled as approval authority credentials；
SS3: the corresponding authority value of the first login user is compared with authority credentials is checked and approved, when the two is identical, is generated
First login user is simultaneously labeled as access user by access signal, otherwise generates refusal signal.
Further, the processor is also used to log in the access signal for receiving intelligent decision module transfer, first
User and when corresponding authority value, stamps timestamp for the first login user and corresponding authority value and forms access record, the processing
Device is transferred to storage unit progress real-time storage for that will access record.
Further, the processor drives display module to show that " your identity is secondary automatically when generating and refusing signal
Validation failure is please verified again ".
Further, the voice print matching module when generating error signal to intelligent decision module transfer it fails to match letter
Number, the intelligent decision module receives voice print matching module transfer it fails to match signal and is transmitted to processor；It is described
Processor receives intelligent decision module transfer it fails to match signal and display module is driven show that " voice print matching fails, and please weigh
It newly logs in ".
Beneficial effects of the present invention:
The present invention obtains the user of corresponding voice secret order by sound groove recognition technology in e, but at this time will not be simply by
The user's checking largely can log in voice data before obtaining it, when voice data is enough according to the pet name of user later
It can be according to the interval habit of speaking of user, by the interval time between each word of this voice, with a large amount of numbers established before
It is compared according to library, obtains whether this meets corresponding rule, verified if meeting by this, while by setting in language
Characteristic voice in sound secret order is identified as corresponding feature text, and the corresponding permission of feature text is tested with user speech
It demonstrate,proves obtained voice to be compared, only on the basis of this is compared also correctly, financial system can be just accessed, in this process
In, it, will not access system as long as there is any one to malfunction；When vocal print logs in the data sample deficiency in library, then it can pass through it
His mobile phone verification mode verifies user identity and then verifies whether its permission corresponds to.Only all in corresponding situation, just meeting
Access financial system.
Detailed description of the invention
In order to facilitate the understanding of those skilled in the art, the present invention will be further described below with reference to the drawings.
Fig. 1 is system block diagram of the invention.
Specific embodiment
As shown in Figure 1, a kind of financial management system based on artificial intelligence, including sound recording module, speech-to-text
Unit, voice print matching module, vocal print log in library, intelligent decision module, authority keys library, processor, display module, storage list
Member, financial system access unit and financial system；
Wherein, the sound recording module is used to obtain the voice secret order of login user, and voice secret order includes regular speech
And characteristic voice, voice key when regular speech logs in for user, characteristic voice are to embody each user to financial system
The voice of operating right, characteristic voice present position and content self are arranged and stored in vocal print for user and log in library, feature language
Sound and all regular speech contents are inconsistent；And the voice secret order of all users does not duplicate content；The sound typing
Module is used to voice secret order being transferred to speech-to-text unit and vocal print matching module；
The vocal print, which logs in, to be stored with the vocal print feature for allowing login user and logs in voice data in library, log in voice number
According to the recording to say voice secret order before user when logging in；The vocal print, which logs in Ku Nei and is also stored with, allows login user corresponding
Authority credentials, authority credentials be user can to financial system carry out operating right；
The voice print matching module, which is used to that vocal print to be combined to log in library, carries out identification operation, concrete operation step to voice secret order
Are as follows:
Step 1: the identity of current speaker is tentatively recognized according to sound groove recognition technology in e, speaker is marked wait log in
User；
Step 2: logging in obtain in library from vocal print and log in voice data to all before login user, to logging in language
Sound database carries out Data Summary processing, specific processing step are as follows:
S1: get it is all log in voice data, voice data will be logged in labeled as Yi, i=1...n；
S2: optional one logs in voice data Yi；
S3: the total number of word S1 that this logs in voice data is got, specific acquisition methods are, when detecting the presence of default
Between T1 when not monitoring that user speaks, be demarcated as finishing a word, obtain total number of word S1；And T1 is preset value；
S4: pronunciation interval time the group Gi, i=1...S1-1 of all numbers of words between any two are got；This item is obtained to log in
The pronunciation interval time group Gi of voice data；
S5: choosing next and log in voice data Yi, repeat step S3-S4, obtains this corresponding and logs in voice data
Pronunciation interval time group；
S6: step S5 is repeated, obtains all pronunciation interval time groups for logging in voice data, and be marked as Gij, i
=1...S1-1, j=1...n；Wherein Gij can indicate that j-th strip logs between i-th of word of voice data and i+1 word
Time interval；
Step 3: data rejecting, specific steps are carried out to Gij are as follows:
S1: enabling i=1, gets G1j；
S2: getting the average value of G1j, is marked as calculating all G1j and an ancient unit of weight every the difference of time every the time；
S3: being ranked up G1j according to difference, rejects G1j and corresponds to the maximum value and minimum value of difference, and recalculates flat
Mean value, by the average value labeled as mark mean value B1；
S4: enabling i=i+1, repeats step S3-S5 and obtains all Gij, corresponding mark mean value Bi；
Step 4: it gets the current vocal print of user and logs in all item number j for logging in voice data in library；
Step 5: when j >=X2 then carries out step 6 to step 7 when X2 is preset value；Otherwise eight are gone to step；
Step 6: it gets to this voice secret order of login user, it is close that voice is got according to the principle of step S3-S4
The interval time Di, i=1...S1-1 of order；
Step 7: formula is utilizedBe calculated interval time Di and mark mean value Bi it
Between the steady value Q of difference；When surely value Q is lower than preset value X1 to difference, labeled as the first login user and will be generated to login user
Correct signal, while the authority credentials of corresponding first login user is obtained, and the voice secret order of this user is transferred to vocal print and is stepped on
Lu Ku is stored as voice data is logged in；Otherwise error signal is generated；
Step 8: identity verification is carried out using the cell-phone number of user binding；It will be labeled as to login user after verification
First login user simultaneously generates correct signal, while obtaining the authority credentials of corresponding first login user, and by the language of this user
Sound secret order be transferred to vocal print log in library as log in voice data storage；Otherwise error signal is generated；
The voice print matching module is used to correct signal, the first login user and corresponding authority value being transferred to intelligent decision
Module；
The speech-to-text unit receives sound recording module and is transferred to voice secret order, and the speech-to-text unit is used
In carrying out speech-to-text operation to voice secret order, text secret order is obtained；The speech-to-text unit is used for text secret order
It is transferred to intelligent decision module；
The authority keys inventory contains login user and its corresponding standard feature text；The intelligent decision module is used
In combining authority keys library to carry out approval process to text secret order, correct signal, the first login user and corresponding authority value, specifically
Processing step are as follows:
SS1: by voice command, it is converted to text, gets the corresponding real-time characteristic text in characteristic voice part；
It: being compared with standard feature text by real-time characteristic text, obtain its corresponding authority credentials by SS2, and
By the value labeled as approval authority credentials；
SS3: the corresponding authority value of the first login user is compared with authority credentials is checked and approved, when the two is identical, is generated
First login user is simultaneously labeled as access user by access signal, otherwise generates refusal signal；
Access signal, access user and corresponding authority value are transferred to by the intelligent decision module when generating access signal
Processor；When the processor receives access signal, the first login user and the corresponding authority value of intelligent decision module transfer,
First login user is given to access financial system according to corresponding authority value automatically by financial system access unit；
The processor is also used in access signal, the first login user and the correspondence for receiving intelligent decision module transfer
When authority credentials, the first login user and corresponding authority value are stamped into timestamp and form access record, the processor will be for that will visit
Ask that record is transferred to storage unit and carries out real-time storage；
The processor generate refuse signal when driving display module show automatically " the secondary validation failure of your identity,
It please verifies again "；
The voice print matching module is when generating error signal to intelligent decision module transfer it fails to match signal, the intelligence
It can determine that module receives voice print matching module transfer it fails to match signal and is transmitted to processor；The processor receives
Intelligent decision module transfer it fails to match signal simultaneously drives display module to show " voice print matching failure, please log in again ".
A kind of financial management system based on artificial intelligence first by sound groove recognition technology in e, is corresponded at work
The user of voice secret order, but will not can obtain its it according to the pet name of user later simply by the user's checking at this time
Preceding largely logs in voice data, can be each by this voice according to the interval habit of speaking of user when voice data is enough
Interval time between a word is compared with the mass data library established before, obtains whether this meets corresponding rule, such as
Fruit, which meets, then to be verified by this, while by the characteristic voice being arranged in voice secret order, being identified as corresponding feature
The corresponding permission of feature text is compared text with the voice that user speech is verified, only in this comparison
On the basis of correctly, financial system can be just accessed, it in the process, will not access system as long as there is any one to malfunction；Work as sound
When line logs in the data sample deficiency in library, then user identity can be verified by other mobile phone verification modes and then verifies it
Whether permission corresponds to.Only financial system can be just all accessed in corresponding situation.
Above content is only to structure of the invention example and explanation, affiliated those skilled in the art couple
Described specific embodiment does various modifications or additions or is substituted in a similar manner, without departing from invention
Structure or beyond the scope defined by this claim, is within the scope of protection of the invention.
Claims (5)
1. a kind of financial management system based on artificial intelligence, which is characterized in that including sound recording module, speech-to-text list
Member, voice print matching module, vocal print log in library, intelligent decision module, authority keys library, processor, display module, storage unit,
Financial system access unit and financial system；
Wherein, the sound recording module is used to obtain the voice secret order of login user, and voice secret order includes regular speech and spy
Voice, voice key when regular speech logs in for user are levied, characteristic voice is to embody each user to operate financial system
The voice of permission, characteristic voice present position and content are that user self is arranged and stored in vocal print and logs in library, characteristic voice with
All regular speech contents are inconsistent；And the voice secret order of all users does not duplicate content；The sound recording module
For voice secret order to be transferred to speech-to-text unit and vocal print matching module；
The vocal print, which logs in, to be stored with the vocal print feature for allowing login user and logs in voice data in library, logging in voice data is
User says the recording of voice secret order when logging in front of；The vocal print, which logs in Ku Nei and is also stored with, allows the corresponding power of login user
Limit value, authority credentials are the operating right that user can carry out financial system；
The voice print matching module, which is used to that vocal print to be combined to log in library, carries out identification operation, concrete operation step to voice secret order are as follows:
Step 1: tentatively recognizing the identity of current speaker according to sound groove recognition technology in e, and speaker is marked to login user；
Step 2: logging in obtain in library from vocal print and log in voice data to all before login user, to logging in voice number
Data Summary processing, specific processing step are carried out according to library are as follows:
S1: get it is all log in voice data, voice data will be logged in labeled as Yi, i=1...n；
S2: optional one logs in voice data Yi；
S3: getting the total number of word S1 that this logs in voice data, and specific acquisition methods are, when detecting the presence of preset time T 1
When not monitoring that user speaks, it is demarcated as finishing a word, obtains total number of word S1；And T1 is preset value；
S4: pronunciation interval time the group Gi, i=1...S1-1 of all numbers of words between any two are got；It obtains this item and logs in voice
The pronunciation interval time group Gi of data；
S5: choosing next and log in voice data Yi, repeat step S3-S4, obtains the pronunciation that this corresponding logs in voice data
Interval time group；
S6: step S5 is repeated, obtains all pronunciation interval time groups for logging in voice data, and be marked as Gij, i=
1...S1-1, j=1...n；Wherein Gij can indicate that j-th strip logs between i-th of word of voice data and i+1 word
Time interval；
Step 3: data rejecting, specific steps are carried out to Gij are as follows:
S1: enabling i=1, gets G1j；
S2: getting the average value of G1j, is marked as calculating all G1j and an ancient unit of weight every the difference of time every the time；
S3: being ranked up G1j according to difference, rejects G1j and corresponds to the maximum value and minimum value of difference, and recalculates average
Value, by the average value labeled as mark mean value B1；
S4: enabling i=i+1, repeats step S3-S5 and obtains all Gij, corresponding mark mean value Bi；
Step 4: it gets the current vocal print of user and logs in all item number j for logging in voice data in library；
Step 5: when j >=X2 then carries out step 6 to step 7 when X2 is preset value；Otherwise eight are gone to step；
Step 6: it gets to this voice secret order of login user, voice secret order is got according to the principle of step S3-S4
Interval time Di, i=1...S1-1；
Step 7: formula is utilizedIt is calculated between interval time Di and mark mean value Bi
The steady value Q of difference；When surely value Q is lower than preset value X1 to difference, labeled as the first login user and will be generated correct to login user
Signal, while the authority credentials of corresponding first login user is obtained, and the voice secret order of this user is transferred to vocal print and logs in library
It is stored as voice data is logged in；Otherwise error signal is generated；
The voice print matching module is used to correct signal, the first login user and corresponding authority value being transferred to intelligent decision mould
Block；
The speech-to-text unit receives sound recording module and is transferred to voice secret order, the speech-to-text unit for pair
Voice secret order carries out speech-to-text operation, obtains text secret order；The speech-to-text unit is for transmitting text secret order
To intelligent decision module；
The authority keys inventory contains login user and its corresponding standard feature text；The intelligent decision module is for tying
It closes authority keys library and access is obtained to text secret order, correct signal, the first login user and corresponding authority value progress approval process
Signal and corresponding access user and refusal signal；
Access signal, access user and corresponding authority value are transferred to processing when generating access signal by the intelligent decision module
Device；When the processor receives access signal, the first login user and the corresponding authority value of intelligent decision module transfer, automatically
First login user is given to access financial system according to corresponding authority value by financial system access unit.
2. a kind of financial management system based on artificial intelligence according to claim 1, which is characterized in that at the approval
The specific processing step of reason are as follows:
SS1: by voice command, it is converted to text, gets the corresponding real-time characteristic text in characteristic voice part；
SS2: it is compared with standard feature text by real-time characteristic text, obtains its corresponding authority credentials, and should
Value is labeled as approval authority credentials；
SS3: the corresponding authority value of the first login user is compared with authority credentials is checked and approved, when the two is identical, generates access
First login user is simultaneously labeled as access user by signal, otherwise generates refusal signal.
3. a kind of financial management system based on artificial intelligence according to claim 1, which is characterized in that the processor
It is also used to step in access signal, the first login user and the corresponding authority value for receiving intelligent decision module transfer by first
Land user and corresponding authority value stamp timestamp formation and access record, and the processor stores list for that will access to record to be transferred to
Member carries out real-time storage.
4. a kind of financial management system based on artificial intelligence according to claim 1, which is characterized in that the processor
Display module is driven to show " the secondary validation failure of your identity, please verify again " automatically when generating and refusing signal.
5. a kind of financial management system based on artificial intelligence according to claim 1, which is characterized in that the vocal print
With module when generating error signal to intelligent decision module transfer it fails to match signal, the intelligent decision module receives vocal print
Matching module transmission it fails to match signal is simultaneously transmitted to processor；The processor receives intelligent decision module transfer
It fails to match signal simultaneously drives display module to show " voice print matching failure, please log in again ".
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110855660A (en) * | 2019-11-08 | 2020-02-28 | 珠海市鸿瑞信息技术股份有限公司 | Power industry network management system based on virtual link |
| CN111090696A (en) * | 2019-11-04 | 2020-05-01 | 上海科技网络通信有限公司 | Internal resource comprehensive management system based on big data |
| CN111340449A (en) * | 2020-02-27 | 2020-06-26 | 吴雅君 | Shared service system for human resources |
| CN111741369A (en) * | 2020-07-10 | 2020-10-02 | 安徽芯智科技有限公司 | Smart television set top box based on voice recognition |
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