CN111613228A - Identity and content recognition system based on voiceprint codes - Google Patents
Identity and content recognition system based on voiceprint codes Download PDFInfo
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- CN111613228A CN111613228A CN202010297005.0A CN202010297005A CN111613228A CN 111613228 A CN111613228 A CN 111613228A CN 202010297005 A CN202010297005 A CN 202010297005A CN 111613228 A CN111613228 A CN 111613228A
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- 238000007781 pre-processing Methods 0.000 claims description 7
- 238000009432 framing Methods 0.000 claims description 3
- 210000000056 organ Anatomy 0.000 claims description 3
- 230000001755 vocal effect Effects 0.000 claims description 3
- 230000000694 effects Effects 0.000 claims 1
- 230000006870 function Effects 0.000 description 3
- 230000007613 environmental effect Effects 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 1
- 238000013135 deep learning Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
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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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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1097—Protocols in which an application is distributed across nodes in the network for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]
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Abstract
The invention discloses an identity and content recognition system based on a voiceprint code, which comprises a voice input module, a voiceprint library module, a cloud storage module, a voiceprint code generation module, a publishing and issuing module and an inquiry module, wherein the voice input module is used for inputting a voiceprint code; the identity and content recognition system based on the voiceprint codes utilizes the uniqueness of the voiceprints to identify the identity information of a speaker, automatically generates a timestamp to mark the time point of the generation of the voice, simple voice input is quicker and more convenient than character expression and input, all language units contained in the voice have identity recognition information, namely, any sentence, word and single character contain the voiceprint which can identify the identity information, meaning that any factor in a section of voice cannot be imitated, the voiceprint codes are completely different from character contracts, seals or face recognition and fingerprint recognition only used as identity recognition, and the voiceprint codes ensure the authenticity of the speaker and the speaking content by 100 percent.
Description
Technical Field
The invention relates to the technical field of identity recognition, in particular to an identity and content recognition system based on a voiceprint code.
Background
In the prior art, the functions of bearing identification, credit, contract and content are mainly seals, identity documents or passports and contracts, agreements, certificates and the like, and the problems of counterfeiting, loss, dependence on hardware, complex operation and the like exist. When virtual commerce and online trade are popularized, a safe, reliable, simple and fast identity authentication mode and a content carrier are needed, defined voice information is converted into key information with an identity recognition function and unique voiceprint information through voiceprint codes, and the problems of credit granting, content transmission and storage in the network and the real world can be perfectly solved through the combination of the key information with the identity recognition function and the unique voiceprint information.
Disclosure of Invention
The invention aims to provide a voiceprint code-based identity and content identification system which is good in safety, high in reliability and rapid in speed.
The technical solution for realizing the purpose of the invention is as follows:
a voiceprint code-based identity and content recognition system is characterized by comprising a voice input module, a voiceprint library module, a cloud storage module, a voiceprint code generation module, a publishing and issuing module and an inquiry module;
the voice input module collects voice sent by a user through a microphone, a mobile phone or a computer, collects voiceprint information and voice content sent by the user, automatically generates a timestamp, and uploads the timestamp to the voiceprint library module after preprocessing;
the voice print library module collects voice print information, voice content and time stamps sent by a user through the voice input module and continuously learns the set of the specific voice prints of the user; if the voice uploaded by the voice input module is compared with the voiceprint information of the voiceprint library, the corresponding speaker can be found and the identity can be confirmed, and the voice uploaded by the voice input module is subjected to secondary processing and then transmitted to the cloud storage module;
the cloud storage module combines and stores the voiceprint information, the voice content and the timestamp information of each user in the voiceprint library module by using a block chain technology;
the voiceprint code generation module generates a two-dimensional code from each combined information in the cloud storage module by using a live code technology and generates a related cloud address;
the publishing and issuing module authenticates and identifies the two-dimensional code and the cloud address generated by the voiceprint code generating module, and publishes and backs up the two-dimensional code and the cloud address;
the query module is used for enabling a user to read voiceprint information, voice content and timestamps of the voice content on the application platform according to the two-dimensional codes or the cloud addresses.
Preferably, the preprocessing adopts pre-emphasis, framing and windowing operations, and filters environmental sounds to eliminate the influence of aliasing, higher harmonic distortion and high-frequency factors on the quality of voice signals, which are caused by the human vocal organs and devices for acquiring the voice signals.
Preferably, the voiceprint library module can continuously train learning and upgrade to improve the speed and accuracy of accurate recognition.
Preferably, the two-dimensional code generated by the voiceprint code generation module and the associated cloud address can be encrypted.
Compared with the prior art, the invention has the following remarkable advantages:
the identity and content recognition system based on the voiceprint codes utilizes the uniqueness of the voiceprints to identify the identity information of a speaker, automatically generates a timestamp to mark the time point of the generation of the voice, simple voice input is quicker and more convenient than character expression and input, all language units contained in the voice have identity recognition information, namely, any sentence, word and single character contain the voiceprint which can identify the identity information, meaning that any factor in a section of voice cannot be imitated, the voiceprint codes are completely different from character contracts, seals or face recognition and fingerprint recognition only used as identity recognition, and the voiceprint codes ensure the authenticity of the speaker and the speaking content by 100 percent; the identity and content identification system based on the voiceprint code has the characteristics of safety, reliability, simplicity and convenience.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic structural diagram of a voiceprint code-based identity and content recognition system according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1:
as shown in fig. 1, an identity and content recognition system based on a voiceprint code is characterized by comprising a voice input module, a voiceprint library module, a cloud storage module, a voiceprint code generation module, a publishing and issuing module and an inquiry module;
the voice input module collects voice sent by a user through a microphone, a mobile phone or a computer, collects voiceprint information and voice content sent by the user, automatically generates a timestamp, and uploads the timestamp to the voiceprint library module after preprocessing; the preprocessing adopts pre-emphasis, framing and windowing operations, so that the environmental sound is filtered, and the influences of aliasing, higher harmonic distortion and high-frequency factors on the quality of the voice signals, which are caused by the human vocal organs and equipment for acquiring the voice signals, are eliminated; the preprocessing aims to ensure that signals obtained by subsequent voice processing are more uniform and smooth as much as possible, provide high-quality parameters for signal parameter extraction and improve the voice processing quality;
the voice print library module collects voice print information, voice content and time stamps sent by a user through the voice input module and continuously learns the set of the specific voice prints of the user; if the voice uploaded by the voice input module is compared with the voiceprint information of the voiceprint library, the corresponding speaker can be found and the identity can be confirmed, and the voice uploaded by the voice input module is subjected to secondary processing and then transmitted to the cloud storage module; the voiceprint library module can continuously train, learn and upgrade to improve the speed and accuracy of accurate identification, and each user has a unique voice print for authentication;
the cloud storage module combines and stores the voiceprint information, the voice content and the timestamp information of each user in the voiceprint library module by using a block chain technology;
the voiceprint code generation module generates a two-dimensional code from each combined information in the cloud storage module by using a live code technology and generates a related cloud address; the two-dimensional code generated by the voiceprint code generation module and the associated cloud address can be encrypted;
the publishing and issuing module authenticates and identifies the two-dimensional code and the cloud address generated by the voiceprint code generating module, and publishes and backs up the two-dimensional code and the cloud address;
the query module is used for enabling a user to read voiceprint information, voice content and timestamps of the voice content on the application platform according to the two-dimensional codes or the cloud addresses.
In summary, the identification and content recognition system based on the voiceprint code identifies the identification information of the speaker by utilizing the uniqueness of the voiceprint, automatically generates the timestamp to mark the time point of the voice generation, the simple voice input is quicker and more convenient than character expression and input, all language units contained in the voice have identification information, namely, any sentence, word and single character contain the voiceprint which can identify the identification information, which means that any factor in a section of voice can not be imitated, and the voiceprint code is completely different from character contract, seal or face recognition and fingerprint recognition only used as identification, and the voiceprint code ensures the authenticity of the speaker and the content of the speaker 100%; the identity and content identification system based on the voiceprint code has the characteristics of safety, reliability, simplicity and convenience.
If the speaker is threatened, threatened and even uttered under the illusion condition, the voice intonation of the speaker is greatly different from that of other ordinary voices, and the voiceprint library module in the system identifies whether the speaker speaks normally or abnormally through deep learning and self evolution modes so as to identify the effectiveness of the voiceprint, namely, only the voice expressed by the unique speaker under the normal emotional state can be matched with the voiceprint library and generate the voiceprint two-dimensional code.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (4)
1. A voiceprint code-based identity and content recognition system is characterized by comprising a voice input module, a voiceprint library module, a cloud storage module, a voiceprint code generation module, a publishing and issuing module and an inquiry module;
the voice input module collects voice sent by a user through a microphone, a mobile phone or a computer, collects voiceprint information and voice content sent by the user, automatically generates a timestamp, and uploads the timestamp to the voiceprint library module after preprocessing;
the voice print library module collects voice print information, voice content and time stamps sent by a user through the voice input module and continuously learns the set of the specific voice prints of the user; if the voice uploaded by the voice input module is compared with the voiceprint information of the voiceprint library, the corresponding speaker can be found and the identity can be confirmed, and the voice uploaded by the voice input module is subjected to secondary processing and then transmitted to the cloud storage module;
the cloud storage module combines and stores the voiceprint information, the voice content and the timestamp information of each user in the voiceprint library module by using a block chain technology;
the voiceprint code generation module generates a two-dimensional code from each combined information in the cloud storage module by using a live code technology and generates a related cloud address;
the publishing and issuing module authenticates and identifies the two-dimensional code and the cloud address generated by the voiceprint code generating module, and publishes and backs up the two-dimensional code and the cloud address;
the query module is used for enabling a user to read voiceprint information, voice content and timestamps of the voice content on the application platform according to the two-dimensional codes or the cloud addresses.
2. The voiceprint code based identity and content recognition system of claim 1 wherein the pre-processing employs pre-emphasis, framing, windowing operations to filter the ambient sound, eliminating the effects of aliasing, higher harmonic distortion, high frequency factors on the quality of the voice signal due to the human vocal organs themselves and due to the equipment used to collect the voice signal.
3. The voiceprint code based identity and content recognition system of claim 1, wherein the voiceprint library module can be continuously trained to learn and upgraded to improve speed and accuracy of accurate recognition.
4. The system of claim 1, wherein the two-dimensional code generated by the voiceprint code generation module and the associated cloud address are configured to be encrypted.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113011318A (en) * | 2021-03-16 | 2021-06-22 | 南京新知艺测科技有限公司 | Identity recognition system in on-computer evaluation |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2010109618A (en) * | 2008-10-29 | 2010-05-13 | Ntt Communications Kk | Authentication device, authentication method, and program |
| CN103794207A (en) * | 2012-10-29 | 2014-05-14 | 西安远声电子科技有限公司 | Dual-mode voice identity recognition method |
| WO2015039568A1 (en) * | 2013-09-18 | 2015-03-26 | Tencent Technology (Shenzhen) Company Limited | Method and system for providing authorization by using mobile terminal |
| US20170365259A1 (en) * | 2015-02-05 | 2017-12-21 | Beijing D-Ear Technologies Co., Ltd. | Dynamic password voice based identity authentication system and method having self-learning function |
| CN107579817A (en) * | 2017-09-12 | 2018-01-12 | 广州广电运通金融电子股份有限公司 | User ID authentication method, apparatus and system based on block chain |
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- 2020-04-15 CN CN202010297005.0A patent/CN111613228A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2010109618A (en) * | 2008-10-29 | 2010-05-13 | Ntt Communications Kk | Authentication device, authentication method, and program |
| CN103794207A (en) * | 2012-10-29 | 2014-05-14 | 西安远声电子科技有限公司 | Dual-mode voice identity recognition method |
| WO2015039568A1 (en) * | 2013-09-18 | 2015-03-26 | Tencent Technology (Shenzhen) Company Limited | Method and system for providing authorization by using mobile terminal |
| US20170365259A1 (en) * | 2015-02-05 | 2017-12-21 | Beijing D-Ear Technologies Co., Ltd. | Dynamic password voice based identity authentication system and method having self-learning function |
| CN107579817A (en) * | 2017-09-12 | 2018-01-12 | 广州广电运通金融电子股份有限公司 | User ID authentication method, apparatus and system based on block chain |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113011318A (en) * | 2021-03-16 | 2021-06-22 | 南京新知艺测科技有限公司 | Identity recognition system in on-computer evaluation |
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