CN107864121A - User ID authentication method and application server - Google Patents
User ID authentication method and application server Download PDFInfo
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- CN107864121A CN107864121A CN201710914890.0A CN201710914890A CN107864121A CN 107864121 A CN107864121 A CN 107864121A CN 201710914890 A CN201710914890 A CN 201710914890A CN 107864121 A CN107864121 A CN 107864121A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/08—Network architectures or network communication protocols for network security for authentication of entities
- H04L63/0861—Network architectures or network communication protocols for network security for authentication of entities using biometrical features, e.g. fingerprint, retina-scan
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
- G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
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Abstract
The invention discloses a kind of user ID authentication method, this method includes：Vocal print pretreatment and feature extraction are carried out by voice acquisition device, obtain the vocal print feature data of user；Obtain sound-groove model corresponding to the user；The vocal print feature data extracted are contrasted with the acquired sound-groove model, obtain confidence score；The authentication result of the user is judged according to the confidence score and predetermined threshold value.The present invention also provides a kind of application server and computer-readable recording medium.User ID authentication method, application server and computer-readable recording medium provided by the invention can sentence checking user identity based on sound groove recognition technology in e, so as to effectively reduce risk.
Description
Technical field
The present invention relates to data analysis technique field, more particularly to a kind of user ID authentication method and application server.
Background technology
Authenticating user identification is always a continuation risk in the internet finance epoch, online loan application, is threatened
Transaction security.The identity identifying technologies such as static password, dynamic password, digital certificate in traditional loan application are different degrees of
In the presence of the risk being broken, risk can not also be excluded completely based on traditional identity identifying method.
Present mobile phone terminal often carries out subscriber authentication with the mode of recognition of face, but recognition of face be easy at PC ends by
Break through, greater risk be present.Therefore other are needed more to be applicable with the mode of safety to carry out consumer's risk checking.
The content of the invention
In view of this, the present invention proposes a kind of user ID authentication method and application server, to solve how effectively to drop
The problem of low identity risk.
First, to achieve the above object, the present invention proposes a kind of user ID authentication method, and the method comprising the steps of：
Vocal print pretreatment and feature extraction are carried out by voice acquisition device, obtain the vocal print feature data of user；
Obtain sound-groove model corresponding to the user；
The vocal print feature data extracted are contrasted with the acquired sound-groove model, obtain confidence level
Score；And
The authentication result of the user is judged according to the confidence score and predetermined threshold value.
Alternatively, this method also includes step before the step of obtaining sound-groove model corresponding to the user：
Vocal print In vivo detection is carried out to the vocal print feature data extracted；
When detection passes through, described the step of obtaining sound-groove model corresponding to the user is performed；
When detection not by when, immediately arrive at the result of subscriber authentication failure.
Alternatively, this method also includes step：
The predetermined threshold value is improved by continuous regression test.
Alternatively, the step of the authentication result that the user is judged according to the confidence score and predetermined threshold value
Suddenly specifically include：
When the confidence score is more than or equal to the predetermined threshold value, the authentication result of the user is judged to test
Card passes through；
When the confidence score is less than the predetermined threshold value, judge that the authentication result of the user is lost for checking
Lose.
Alternatively, described the step of improving the predetermined threshold value by continuous regression test, specifically includes：
When authentication times corresponding to the user reach preset times, according to multiple authentication result and reality
Situation carries out regression test, reversely judges the reasonability of the predetermined threshold value.
In addition, to achieve the above object, the present invention also provides a kind of application server, including memory, processor, described
The subscriber identity authentication system that can be run on the processor is stored with memory, the subscriber identity authentication system is by institute
Following steps are realized when stating computing device：
Vocal print pretreatment and feature extraction are carried out by voice acquisition device, obtain the vocal print feature data of user；
Obtain sound-groove model corresponding to the user；
The vocal print feature data extracted are contrasted with the acquired sound-groove model, obtain confidence level
Score；And
The authentication result of the user is judged according to the confidence score and predetermined threshold value.
Alternatively, the subscriber identity authentication system by the computing device when also realize step：
Vocal print In vivo detection is carried out to the vocal print feature data extracted；
When detection passes through, described the step of obtaining sound-groove model corresponding to the user is performed；
When detection not by when, immediately arrive at the result of subscriber authentication failure.
Alternatively, the subscriber identity authentication system by the computing device when also realize step：
The predetermined threshold value is improved by continuous regression test.
Alternatively, the step of the authentication result that the user is judged according to the confidence score and predetermined threshold value
Suddenly specifically include：
When the confidence score is more than or equal to the predetermined threshold value, the authentication result of the user is judged to test
Card passes through；
When the confidence score is less than the predetermined threshold value, judge that the authentication result of the user is lost for checking
Lose.
Further, to achieve the above object, the present invention also provides a kind of computer-readable recording medium, the computer
Readable storage medium storing program for executing is stored with subscriber identity authentication system, and the subscriber identity authentication system can be held by least one processor
OK, so that the step of at least one computing device user ID authentication method described above.
Compared to prior art, user ID authentication method proposed by the invention, application server and computer-readable
Storage medium, it can be gathered by voice acquisition device and pre-process to obtain user's vocal print feature data, and it is corresponding with the user
Credit passport in sound-groove model contrasted, according to comparing result and predetermined threshold value judge the user authentication whether
By so as to effectively reduce risk.Furthermore it is also possible to regression test is carried out according to multiple authentication result and actual state,
The reasonability of the predetermined threshold value is reversely judged, so as to adjust and improve the value of the predetermined threshold value.
Brief description of the drawings
Fig. 1 is each optional application environment schematic diagram of embodiment one of the present invention；
Fig. 2 is the schematic diagram of one optional hardware structure of application server in Fig. 1；
Fig. 3 is the program module schematic diagram of subscriber identity authentication system first embodiment of the present invention；
Fig. 4 is the program module schematic diagram of subscriber identity authentication system second embodiment of the present invention；
Fig. 5 is the program module schematic diagram of subscriber identity authentication system 3rd embodiment of the present invention；
Fig. 6 is the schematic flow sheet of user ID authentication method first embodiment of the present invention；
Fig. 7 is the schematic flow sheet of user ID authentication method second embodiment of the present invention；
Fig. 8 is the schematic flow sheet of user ID authentication method 3rd embodiment of the present invention.
Reference：
| Voice acquisition device | 1 |
| Application server | 2 |
| Network | 3 |
| Memory | 11 |
| Processor | 12 |
| Network interface | 13 |
| Subscriber identity authentication system | 200 |
| Extraction module | 201 |
| Acquisition module | 202 |
| Contrast module | 203 |
| Judge module | 204 |
| Detection module | 205 |
| Regression block | 206 |
The realization, functional characteristics and advantage of the object of the invention will be described further referring to the drawings in conjunction with the embodiments.
Embodiment
In order to make the purpose , technical scheme and advantage of the present invention be clearer, it is right below in conjunction with drawings and Examples
The present invention is further elaborated.It should be appreciated that specific embodiment described herein is only to explain the present invention, not
For limiting the present invention.Based on the embodiment in the present invention, those of ordinary skill in the art are not before creative work is made
The every other embodiment obtained is put, belongs to the scope of protection of the invention.
It should be noted that the description for being related to " first ", " second " etc. in the present invention is only used for describing purpose, and can not
It is interpreted as indicating or implies its relative importance or imply the quantity of the technical characteristic indicated by indicating.Thus, define " the
One ", at least one this feature can be expressed or be implicitly included to the feature of " second ".In addition, the skill between each embodiment
Art scheme can be combined with each other, but must can be implemented as basis with those of ordinary skill in the art, when technical scheme
With reference to occurring conflicting or will be understood that the combination of this technical scheme is not present when can not realize, also not in application claims
Protection domain within.
As shown in fig.1, it is each optional application environment schematic diagram of embodiment one of the present invention.
In the present embodiment, present invention can apply to include but not limited to, voice acquisition device 1, application server 2,
In the application environment of network 3.Wherein, the voice acquisition device 1 can be the electronic equipment of individual subscriber, such as computer, hand
Machine or bank carry out terminal device of online loan application etc..The voice acquisition device 1 is cheap, only needs electricity
Words, mobile phone or microphone, cost-effective without customizing collecting device, equipment cost is low.The application server 2 can be with
It is the computing devices such as rack-mount server, blade server, tower server or Cabinet-type server, the application server 2
It can be the server cluster that independent server or multiple servers are formed.The network 3 can be in enterprise
Portion's net (Intranet), internet (Internet), global system for mobile communications (Global System of Mobile
Communication, GSM), WCDMA (Wideband Code Division Multiple Access,
WCDMA), the wirelessly or non-wirelessly network such as 4G networks, 5G networks, bluetooth (Bluetooth), Wi-Fi, speech path network.
Wherein, the application server 2 is logical with one or more voice acquisition devices 1 respectively by the network 3
Letter connection, to carry out data transmission and interact.
As shown in fig.2, it is the schematic diagram of 2 one optional hardware structure of application server in Fig. 1.In the present embodiment, institute
Stating application server 2 may include, but be not limited only to, and connection memory 11, processor 12, net can be in communication with each other by system bus
Network interface 13.It is pointed out that Fig. 2 illustrate only the application server 2 with component 11-13, it should be understood that simultaneously
All components shown realistic are not applied, the more or less component of the implementation that can be substituted.
Wherein, the memory 11 comprises at least a type of readable storage medium storing program for executing, and the readable storage medium storing program for executing includes
Flash memory, hard disk, multimedia card, card-type memory (for example, SD or DX memories etc.), random access storage device (RAM), it is static with
Machine access memory (SRAM), read-only storage (ROM), Electrically Erasable Read Only Memory (EEPROM), it is programmable only
Read memory (PROM), magnetic storage, disk, CD etc..In certain embodiments, the memory 11 can be described answers
With the hard disk or internal memory of the internal storage unit of server 2, such as the application server 2.In further embodiments, it is described to deposit
Reservoir 11 can also be that the plug-in type being equipped with the External memory equipment of the application server 2, such as the application server 2 is hard
Disk, intelligent memory card (Smart Media Card, SMC), secure digital (Secure Digital, SD) card, flash card
(Flash Card) etc..Certainly, the memory 11 can also both include the internal storage unit of the application server 2 or wrap
Include its External memory equipment.In the present embodiment, the memory 11 is generally used for the behaviour that storage is installed on the application server 2
Make system and types of applications software, such as program code of subscriber identity authentication system 200 etc..In addition, the memory 11 is also
It can be used for temporarily storing the Various types of data that has exported or will export.
The processor 12 can be in certain embodiments central processing unit (Central Processing Unit,
CPU), controller, microcontroller, microprocessor or other data processing chips.The processor 12 is generally used for should described in control
With the overall operation of server 2, such as the control that execution is related to the voice acquisition device 1 progress data interaction or communication
With processing etc..In the present embodiment, the processor 12 is used to run the program code stored in the memory 11 or processing
Data, such as run described subscriber identity authentication system 200 etc..
The network interface 13 may include radio network interface or wired network interface, and the network interface 13 is generally used for
Communication connection is established between the application server 2 and other electronic equipments.In the present embodiment, the network interface 13 is mainly used
In the application server 2 is connected with one or more voice acquisition devices 1 by the network 3, in the application
Data transmission channel and communication connection are established between server 2 and one or more of voice acquisition devices 1.
So far, oneself is through describing the application environment of each embodiment of the present invention and the hardware configuration and work(of relevant device in detail
Energy.Below, above-mentioned application environment and relevant device will be based on, proposes each embodiment of the present invention.
First, the present invention proposes a kind of subscriber identity authentication system 200.
As shown in fig.3, it is the Program modual graph of the first embodiment of subscriber identity authentication system 200 of the present invention.This implementation
In example, described subscriber identity authentication system 200 includes a series of computer program instructions being stored on memory 11, when
When the computer program instructions are performed by processor 12, it is possible to achieve the subscriber authentication operation of various embodiments of the present invention.
In some embodiments, the specific operation realized based on the computer program instructions each several part, subscriber identity authentication system 200
One or more modules can be divided into.For example, in figure 3, the subscriber identity authentication system 200, which can be divided into, to be carried
Modulus block 201, acquisition module 202, contrast module 203, judge module 204.Wherein：
The extraction module 201, for carrying out the pretreatment of Remote Non-touch vocal print and feature by voice acquisition device 1
Extraction.
Specifically, when some user, which is based on mobile Internet, carries out loan application, adopted with the voice acquisition device 1
Collect the voice print database of the user, and the voice print database is pre-processed, extract effective vocal print feature data.In this reality
Apply in example, can be according to the name inputted online, user described in the data separation such as identification card number.
The security that Application on Voiceprint Recognition is provided can compare favourably with other biological identification technology (such as face, iris), and vocal print is known
Not there is uniqueness and can not distort, technology maturation is with a high credibility.Voice acquisition device 1 is cheap, only needs electricity
Words, mobile phone or microphone, cost-effective without customizing collecting device, equipment cost is low.
Application on Voiceprint Recognition is unrelated with language of speaking, unrelated with dialect intonation, and adaptation population's scope is very wide, is not related to privacy and asks
Topic, user privacy are good.Simple to operate, process is naturally, user's acceptance is high.Phone or networking are only needed, is especially suitable for
Remote authentication.
The acquisition module 202, for obtaining sound-groove model corresponding to the user.
Specifically, sound-groove model corresponding to the user can be obtained from the storage location pre-set.For example, can be from this
The sound-groove model is obtained in credit passport corresponding to user, have collected in the credit passport essential information corresponding to the user,
The biological information such as credit information and reserved sound-groove model
The contrast module 203, for the vocal print feature data extracted to be entered with the acquired sound-groove model
Row contrast, obtains confidence score.
Specifically, when getting sound-groove model corresponding with the user, by the vocal print feature data and the sound-groove model
Contrasted item by item, to obtain the confidence score of the vocal print feature data.It is understood that the vocal print feature data are with being somebody's turn to do
The similarity of sound-groove model is higher, and the confidence score is higher.
The judge module 204, for judging the authentication of the user according to the confidence score and predetermined threshold value
As a result.
Specifically, the predetermined threshold value is sentencing for the vocal print feature data and the similarity degree of the sound-groove model
Severed finger mark, such as 60 points.When the confidence score reaches and (be more than or equal to) predetermined threshold value, the identity of the user is judged
The result is to be verified.When the confidence score not up to (is less than) predetermined threshold value, the body of the user is judged
Part the result is authentication failed.
In addition, vocal print feature can also be combined by the present embodiment with the existing verification mode such as password, digital certificate, work as sound
When line feature, password, digital certificate etc. are without exception, it is verified.
As shown in fig.4, it is the Program modual graph of the second embodiment of subscriber identity authentication system 200 of the present invention.This implementation
In example, described subscriber identity authentication system 200 is except including the extraction module 201, the acquisition module in first embodiment
202nd, outside contrast module 203, judge module 204, in addition to detection module 205.
The detection module 205, for carrying out vocal print In vivo detection to the vocal print feature data extracted.
Specifically, after the extraction module 201 extracts the vocal print feature data, the extraction module 201 is to this
Vocal print feature data carry out vocal print In vivo detection.If detection passes through, continue to trigger the acquisition module 202 and obtain the user couple
The sound-groove model answered；If detection is not by immediately arriving at the result that the subscriber authentication fails.
As shown in fig.5, it is the Program modual graph of the 3rd embodiment of subscriber identity authentication system 200 of the present invention.This implementation
In example, described subscriber identity authentication system 200 is on the basis of second embodiment, in addition to regression block 206.
The regression block 206, for improving the predetermined threshold value by continuous regression test.
Specifically, can be according to multiple authentication when authentication times corresponding to the user reach to a certain degree
As a result regression test is carried out with actual state, reversely judges the reasonability of the predetermined threshold value.It is it is understood that described default
The value of threshold value is bigger, and checking accuracy rate is higher；And the value of the predetermined threshold value is smaller, it is higher to be verified rate.By not
It is disconnected to carry out regression test, an equalization point can be found between the rate that is verified and checking accuracy rate, improve the default threshold
The value of value, it is set to tend to be optimal.
In addition, the present invention also proposes a kind of user ID authentication method.
As shown in fig.6, it is the schematic flow sheet of user ID authentication method first embodiment of the present invention.In the present embodiment
In, according to different demands, the execution sequence of the step in flow chart shown in Fig. 6 can change, and some steps can be omitted.
Step S600, the pretreatment of Remote Non-touch vocal print and feature extraction are carried out by voice acquisition device 1, used
The vocal print feature data at family.
Specifically, when some user, which is based on mobile Internet, carries out loan application, adopted with the voice acquisition device 1
Collect the voice print database of the user, and the voice print database is pre-processed, extract effective vocal print feature data.In this reality
Apply in example, can be according to the name inputted online, user described in the data separation such as identification card number.
The security that Application on Voiceprint Recognition is provided can compare favourably with other biological identification technology (such as face, iris), and vocal print is known
Not there is uniqueness and can not distort, technology maturation is with a high credibility.Voice acquisition device 1 is cheap, only needs electricity
Words, mobile phone or microphone, cost-effective without customizing collecting device, equipment cost is low.
Application on Voiceprint Recognition is unrelated with language of speaking, unrelated with dialect intonation, and adaptation population's scope is very wide, is not related to privacy and asks
Topic, user privacy are good.Simple to operate, process is naturally, user's acceptance is high.Phone or networking are only needed, is especially suitable for
Remote authentication.
Step S602, obtain sound-groove model corresponding to the user.
Specifically, sound-groove model corresponding to the user can be obtained from the storage location pre-set.For example, can be from this
The sound-groove model is obtained in credit passport corresponding to user, have collected in the credit passport essential information corresponding to the user,
The biological information such as credit information and reserved sound-groove model.
Step S604, the vocal print feature data extracted are contrasted with the acquired sound-groove model, obtained
Confidence score.
Specifically, when getting sound-groove model corresponding with the user, by the vocal print feature data and the sound-groove model
Contrasted item by item, to obtain the confidence score of the vocal print feature data.It is understood that the vocal print feature data are with being somebody's turn to do
The similarity of sound-groove model is higher, and the confidence score is higher.
Step S606, the authentication result of the user is judged according to the confidence score and predetermined threshold value.
Specifically, the predetermined threshold value is sentencing for the vocal print feature data and the similarity degree of the sound-groove model
Severed finger mark, such as 60 points.When the confidence score reaches and (be more than or equal to) predetermined threshold value, the identity of the user is judged
The result is to be verified.When the confidence score not up to (is less than) predetermined threshold value, the body of the user is judged
Part the result is authentication failed.
In addition, vocal print feature can also be combined by the present embodiment with the existing verification mode such as password, digital certificate, work as sound
When line feature, password, digital certificate etc. are without exception, it is verified.
The user ID authentication method that the present embodiment is proposed, it can gather and pre-process by voice acquisition device 1
To user's vocal print feature data, and the sound-groove model in credit passport corresponding with the user is contrasted, according to comparing result
Judge the authentication of the user whether by so as to effectively reduce risk with predetermined threshold value.
As shown in fig. 7, it is the schematic flow sheet of the second embodiment of user ID authentication method of the present invention.The present embodiment
In, the step S700 and S704-S708 of the user ID authentication method and the step S600-S606 of first embodiment are similar
Seemingly, difference is that this method also includes step S702.
This method comprises the following steps：
Step S700, the pretreatment of Remote Non-touch vocal print and feature extraction are carried out by voice acquisition device 1, used
The vocal print feature data at family.
Specifically, when some user, which is based on mobile Internet, carries out loan application, adopted with the voice acquisition device 1
Collect the voice print database of the user, and the voice print database is pre-processed, extract effective vocal print feature data.In this reality
Apply in example, can be according to the name inputted online, user described in the data separation such as identification card number.
The security that Application on Voiceprint Recognition is provided can compare favourably with other biological identification technology (such as face, iris), and vocal print is known
Not there is uniqueness and can not distort, technology maturation is with a high credibility.Voice acquisition device 1 is cheap, only needs electricity
Words, mobile phone or microphone, cost-effective without customizing collecting device, equipment cost is low.
Application on Voiceprint Recognition is unrelated with language of speaking, unrelated with dialect intonation, and adaptation population's scope is very wide, is not related to privacy and asks
Topic, user privacy are good.Simple to operate, process is naturally, user's acceptance is high.Phone or networking are only needed, is especially suitable for
Remote authentication.
Step S702, vocal print In vivo detection is carried out to the vocal print feature data extracted.
Specifically, after the vocal print feature data are extracted, vocal print In vivo detection is carried out to the vocal print feature data.If
Detection passes through, then continues executing with next step；If detection is not by immediately arriving at the checking knot that the subscriber authentication fails
Fruit.
Step S704, obtain sound-groove model corresponding to the user.
Specifically, sound-groove model corresponding to the user can be obtained from the storage location pre-set.For example, can be from this
The sound-groove model is obtained in credit passport corresponding to user, have collected in the credit passport essential information corresponding to the user,
The biological information such as credit information and reserved sound-groove model.
Step S706, the vocal print feature data extracted are contrasted with the acquired sound-groove model, obtained
Confidence score.
Specifically, when getting sound-groove model corresponding with the user, by the vocal print feature data and the sound-groove model
Contrasted item by item, to obtain the confidence score of the vocal print feature data.It is understood that the vocal print feature data are with being somebody's turn to do
The similarity of sound-groove model is higher, and the confidence score is higher.
Step S708, the authentication result of the user is judged according to the confidence score and predetermined threshold value.
Specifically, the predetermined threshold value is sentencing for the vocal print feature data and the similarity degree of the sound-groove model
Severed finger mark, such as 60 points.When the confidence score reaches and (be more than or equal to) predetermined threshold value, the identity of the user is judged
The result is to be verified.When the confidence score not up to (is less than) predetermined threshold value, the body of the user is judged
Part the result is authentication failed.
In addition, vocal print feature can also be combined by the present embodiment with the existing verification mode such as password, digital certificate, work as sound
When line feature, password, digital certificate etc. are without exception, it is verified.
The user ID authentication method that the present embodiment is proposed, it can gather and pre-process by voice acquisition device 1
To user's vocal print feature data, and the sound-groove model in credit passport corresponding with the user is contrasted, according to comparing result
Judge the authentication of the user whether by so as to effectively reduce risk with predetermined threshold value.
As shown in figure 8, it is the schematic flow sheet of the 3rd embodiment of user ID authentication method of the present invention.The present embodiment
In, the step S800-S808 of the user ID authentication method and the step S700-S708 of second embodiment are similar, difference
It is that this method also includes step S810.
This method comprises the following steps：
Step S800, the pretreatment of Remote Non-touch vocal print and feature extraction are carried out by voice acquisition device 1, used
The vocal print feature data at family.
Specifically, when some user, which is based on mobile Internet, carries out loan application, adopted with the voice acquisition device 1
Collect the voice print database of the user, and the voice print database is pre-processed, extract effective vocal print feature data.In this reality
Apply in example, can be according to the name inputted online, user described in the data separation such as identification card number.
The security that Application on Voiceprint Recognition is provided can compare favourably with other biological identification technology (such as face, iris), and vocal print is known
Not there is uniqueness and can not distort, technology maturation is with a high credibility.Voice acquisition device 1 is cheap, only needs electricity
Words, mobile phone or microphone, cost-effective without customizing collecting device, equipment cost is low.
Application on Voiceprint Recognition is unrelated with language of speaking, unrelated with dialect intonation, and adaptation population's scope is very wide, is not related to privacy and asks
Topic, user privacy are good.Simple to operate, process is naturally, user's acceptance is high.Phone or networking are only needed, is especially suitable for
Remote authentication.
Step S802, vocal print In vivo detection is carried out to the vocal print feature data extracted.
Specifically, after the vocal print feature data are extracted, vocal print In vivo detection is carried out to the vocal print feature data.If
Detection passes through, then continues executing with next step；If detection is not by immediately arriving at the checking knot that the subscriber authentication fails
Fruit.
Step S804, obtain sound-groove model corresponding to the user.
Specifically, sound-groove model corresponding to the user can be obtained from the storage location pre-set.For example, can be from this
The sound-groove model is obtained in credit passport corresponding to user, have collected in the credit passport essential information corresponding to the user,
The biological information such as credit information and reserved sound-groove model.
Step S806, the vocal print feature data extracted are contrasted with the acquired sound-groove model, obtained
Confidence score.
Specifically, when getting sound-groove model corresponding with the user, by the vocal print feature data and the sound-groove model
Contrasted item by item, to obtain the confidence score of the vocal print feature data.It is understood that the vocal print feature data are with being somebody's turn to do
The similarity of sound-groove model is higher, and the confidence score is higher.
Step S808, the authentication result of the user is judged according to the confidence score and predetermined threshold value.
Specifically, the predetermined threshold value is sentencing for the vocal print feature data and the similarity degree of the sound-groove model
Severed finger mark, such as 60 points.When the confidence score reaches and (be more than or equal to) predetermined threshold value, the identity of the user is judged
The result is to be verified.When the confidence score not up to (is less than) predetermined threshold value, the body of the user is judged
Part the result is authentication failed.
In addition, vocal print feature can also be combined by the present embodiment with the existing verification mode such as password, digital certificate, work as sound
When line feature, password, digital certificate etc. are without exception, it is verified.
Step S810, the predetermined threshold value is improved by continuous regression test.
Specifically, when authentication times corresponding to the user reach (such as preset times) to a certain degree, Ke Yigen
Regression test is carried out according to multiple authentication result and actual state, reversely judges the reasonability of the predetermined threshold value.It can manage
Solution, the value of the predetermined threshold value is bigger, and checking accuracy rate is higher；And the value of the predetermined threshold value is smaller, checking is logical
It is higher to cross rate.By constantly carrying out regression test, an equalization point can be found between the rate that is verified and checking accuracy rate,
The value of the predetermined threshold value is improved, it is tended to be optimal.
The user ID authentication method that the present embodiment is proposed, it can gather and pre-process by voice acquisition device 1
To user's vocal print feature data, and the sound-groove model in credit passport corresponding with the user is contrasted, according to comparing result
Judge the authentication of the user whether by so as to effectively reduce risk with predetermined threshold value.Furthermore it is also possible to according to multiple body
Part the result and actual state carry out regression test, the reasonability of the predetermined threshold value are reversely judged, so as to adjust and improve
State the value of predetermined threshold value.
The embodiments of the present invention are for illustration only, do not represent the quality of embodiment.
Through the above description of the embodiments, those skilled in the art can be understood that above-described embodiment side
Method can add the mode of required general hardware platform to realize by software, naturally it is also possible to by hardware, but in many cases
The former is more preferably embodiment.Based on such understanding, technical scheme is substantially done to prior art in other words
Going out the part of contribution can be embodied in the form of software product, and the computer software product is stored in a storage medium
In (such as ROM/RAM, magnetic disc, CD), including some instructions to cause a station terminal equipment (can be mobile phone, computer, clothes
Be engaged in device, air conditioner, or network equipment etc.) perform method described in each embodiment of the present invention.
The preferred embodiments of the present invention are these are only, are not intended to limit the scope of the invention, it is every to utilize this hair
The equivalent structure or equivalent flow conversion that bright specification and accompanying drawing content are made, or directly or indirectly it is used in other related skills
Art field, is included within the scope of the present invention.
Claims (10)
1. a kind of user ID authentication method, applied to application server, it is characterised in that methods described includes step：
Vocal print pretreatment and feature extraction are carried out by voice acquisition device, obtain the vocal print feature data of user；
Obtain sound-groove model corresponding to the user；
The vocal print feature data extracted are contrasted with the acquired sound-groove model, confidence level is obtained and obtains
Point；And
The authentication result of the user is judged according to the confidence score and predetermined threshold value.
2. user ID authentication method as claimed in claim 1, it is characterised in that this method is being obtained corresponding to the user
Also include step before the step of sound-groove model：
Vocal print In vivo detection is carried out to the vocal print feature data extracted；
When detection passes through, described the step of obtaining sound-groove model corresponding to the user is performed；
When detection not by when, immediately arrive at the result of subscriber authentication failure.
3. user ID authentication method as claimed in claim 2, it is characterised in that this method also includes step：
The predetermined threshold value is improved by continuous regression test.
4. user ID authentication method as claimed in claim 1, it is characterised in that described according to the confidence score and pre-
If the step of authentication result of user described in threshold decision, specifically includes：
When the confidence score is more than or equal to the predetermined threshold value, judge that the authentication result of the user is logical to verify
Cross；
When the confidence score is less than the predetermined threshold value, judge the authentication result of the user for authentication failed.
5. user ID authentication method as claimed in claim 3, it is characterised in that described that institute is improved by continuous regression test
The step of stating predetermined threshold value specifically includes：
When authentication times corresponding to the user reach preset times, according to multiple authentication result and actual state
Regression test is carried out, reversely judges the reasonability of the predetermined threshold value.
6. a kind of application server, it is characterised in that the application server includes memory, processor, on the memory
The subscriber identity authentication system that can be run on the processor is stored with, the subscriber identity authentication system is by the processor
Following steps are realized during execution：
Vocal print pretreatment and feature extraction are carried out by voice acquisition device, obtain the vocal print feature data of user；
Obtain sound-groove model corresponding to the user；
The vocal print feature data extracted are contrasted with the acquired sound-groove model, confidence level is obtained and obtains
Point；And
The authentication result of the user is judged according to the confidence score and predetermined threshold value.
7. application server as claimed in claim 6, it is characterised in that the subscriber identity authentication system is by the processor
Step is also realized during execution：
Vocal print In vivo detection is carried out to the vocal print feature data extracted；
When detection passes through, described the step of obtaining sound-groove model corresponding to the user is performed；
When detection not by when, immediately arrive at the result of subscriber authentication failure.
8. application server as claimed in claim 7, it is characterised in that the subscriber identity authentication system is by the processor
Step is also realized during execution：
The predetermined threshold value is improved by continuous regression test.
9. application server as claimed in claim 6, it is characterised in that described according to the confidence score and predetermined threshold value
The step of authentication result for judging the user, specifically includes：
When the confidence score is more than or equal to the predetermined threshold value, judge that the authentication result of the user is logical to verify
Cross；
When the confidence score is less than the predetermined threshold value, judge the authentication result of the user for authentication failed.
10. a kind of computer-readable recording medium, the computer-readable recording medium storage has subscriber identity authentication system, institute
Stating enterprise's recommended program can be by least one computing device, so that at least one computing device such as claim 1-5
Any one of user ID authentication method the step of.
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| CN201710914890.0A CN107864121A (en) | 2017-09-30 | 2017-09-30 | User ID authentication method and application server |
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| CN110738998A (en) * | 2019-09-11 | 2020-01-31 | 深圳壹账通智能科技有限公司 | Voice-based personal credit evaluation method, device, terminal and storage medium |
| CN111382593A (en) * | 2018-12-27 | 2020-07-07 | 浙江宇视科技有限公司 | Identity verification method and device and electronic equipment |
| CN112084106A (en) * | 2019-06-14 | 2020-12-15 | 中国移动通信集团浙江有限公司 | Test data selection method and device, computing equipment and computer storage medium |
| CN112351047A (en) * | 2021-01-07 | 2021-02-09 | 北京远鉴信息技术有限公司 | Double-engine based voiceprint identity authentication method, device, equipment and storage medium |
| CN112652314A (en) * | 2020-12-30 | 2021-04-13 | 太平金融科技服务（上海）有限公司 | Method, device, equipment and medium for verifying disabled object based on voiceprint shading |
| CN112951247A (en) * | 2021-03-23 | 2021-06-11 | 上海掌数科技有限公司 | Method for quickly verifying voiceprint based on application scene and application thereof |
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| CN112652314A (en) * | 2020-12-30 | 2021-04-13 | 太平金融科技服务（上海）有限公司 | Method, device, equipment and medium for verifying disabled object based on voiceprint shading |
| CN112351047A (en) * | 2021-01-07 | 2021-02-09 | 北京远鉴信息技术有限公司 | Double-engine based voiceprint identity authentication method, device, equipment and storage medium |
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