CN104618616A - System and method for recognizing identity of participants of conference call based on voice characteristic extraction - Google Patents

System and method for recognizing identity of participants of conference call based on voice characteristic extraction Download PDF

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Publication number
CN104618616A
CN104618616A CN201510022211.XA CN201510022211A CN104618616A CN 104618616 A CN104618616 A CN 104618616A CN 201510022211 A CN201510022211 A CN 201510022211A CN 104618616 A CN104618616 A CN 104618616A
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China
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participant
cloud server
videoconference
meeting
terminal
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CN201510022211.XA
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CN104618616B (en
Inventor
王学宗
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Sichuan Juncheng Interactive Technology Co ltd
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Sichuan Lianyou Telecom Technology Co Ltd
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Abstract

The invention provides system and method for recognizing identity of participants of a conference call based on voice characteristic extraction. The system comprises a conference cloud server, a plurality of participating terminals, a plurality of mobile exchange networks for connecting the participating terminals and the conference cloud server, and internet; the conference cloud server comprises a storing module for storing standard voice characteristics signals of members, an extracting module for extracting real-time voice characteristics, and a comparing module for comparing the standard voice characteristics signals with real-time voice characteristics signals; each participating terminal comprises a microphone. According to the system, the standard voice characteristics signals of the participants are pre-stored; the real-time voices of the participants are subjected to characteristics extraction through the server during each conference, and then whether the voice is the owner is analyzed; if mismatching, the participant is automatically shielded, and therefore, the security of the conference information can be ensured.

Description

Based on videoconference participant identification system and the method for speech feature extraction
Technical field
The present invention relates to a kind of videoconference participant identification system based on speech feature extraction and method.
Background technology
So-called videoconference is exactly generally utilize telephone set as instrument, utilizes the novel conference model that telephone wire is had a meeting as carrier.Compared with traditional meeting, there is meeting schedule rapid, not free, region restriction, the features such as low cost.Compared with the point-to-point telephone service of tradition, functionally, break the boundary that call can only be confined to 2 sides, more than 3 sides can be met (according to the product of different provider, the highlyest realize 300 sides and converse simultaneously) to have the communication that phone cannot realize more smooth and easy, information is more true, the features such as scope is more extensive.The restriction majority being subject to rate is applied in enterprise's routine work.In order to realize linking up efficiency, avoid information distortion, videoconference market is risen rapidly in recent years, is widely used in various types of enterprise.
But the fail safe of existing videoconference is not high, all use with telephone terminal can add per family; Even if having certain examination outpost of the tax office, its effect is also not obvious.
Summary of the invention
The object of the invention is to overcome the deficiencies in the prior art, a kind of videoconference participant identification system based on speech feature extraction and method are provided, during each meeting, server carries out feature extraction to participant's real-time phonetic, whether be I, solve the problem that the fail safe of existing telephone conferencing information is not high if analyzing its sound.
The object of the invention is to be achieved through the following technical solutions: based on the videoconference participant identification system of speech feature extraction, it comprises meeting Cloud Server, multiple participant terminal, the mobile telephone exchange network of multiple connection participant terminal and meeting Cloud Server and the Internet, described meeting Cloud Server comprises the memory module that stores the received pronunciation characteristic signal of member, one is carried out the extraction module of feature extraction to real-time phonetic, the comparison module of a standard of comparison phonetic feature signal and real-time phonetic characteristic signal, described participant terminal comprises a microphone.
Described participant terminal comprises host's participant terminal and at least one participant's participant terminal.
Described participant terminal comprises non-intelligent mobile terminal, intelligent mobile terminal and PC terminal, described non-intelligent mobile terminal is connected with the first mobile telephone exchange network by GSM/CDMA/WCDMA, and the first mobile telephone exchange network passes through SMTP/SMGP and is connected with meeting Cloud Server; Described intelligent mobile terminal is connected with the second mobile telephone exchange network by 2G/3G/TCP.IP, second mobile telephone exchange network passes through TCP/IP and is connected with meeting Cloud Server, described intelligent mobile terminal is also connected with the Internet by WIFI/TCP.IP, and the Internet passes through TCP/IP and is connected with meeting Cloud Server; Described PC terminal is connected with the Internet by WEB, and the Internet passes through TCP/IP and is connected with meeting Cloud Server.
Based on the recognition methods of the videoconference participant identification system of speech feature extraction, it comprises the following steps:
S1: the member for participating in videoconference sends membership application;
S2: host receives membership application, carries out role's authentication to member, comprises following sub-step:
S21: host receives membership application, sends authentication instruction to the member for participating in videoconference;
S22: the member for participating in videoconference passes through microphone and sends real-time phonetic to meeting Cloud Server;
S23: meeting Cloud Server carries out feature extraction to real-time phonetic, compares with the received pronunciation characteristic signal of this member prestored and mates, and whether analyze its sound is me:
(1) if sound does not mate, meeting Cloud Server is this member of automatic shield then, sends notice, and terminate to this member APP;
(2) if Sound Match, then step S3 is entered;
S3: meeting Cloud Server judges that whether member is in meeting:
(1) if in meeting, then advise fate is to host;
(2) if not in meeting, this member is added videoconference by meeting Cloud Server, notifies that all participant members have member to add, simultaneously according to member type synchronous regime on member's mobile phone.
Based on the videoconference participant personal identification method of speech feature extraction, also comprise a pre-stored voice characteristic signal step: all users are before participation videoconference, and server can prestore participant's received pronunciation characteristic signal.
Described microphone is mobile phone microphone or External microphone.
Described member type comprises mobile phone member and APP member.
Described sends SMS Tip to member's mobile phone and mobile phone A PP prompting according to member type synchronous regime to member's mobile phone comprises by office side's note switching network.
The invention has the beneficial effects as follows: (1) the present invention prestores participant's received pronunciation characteristic signal, during each meeting, server carries out feature extraction to participant's real-time phonetic, and whether be I, if do not mated if analyzing its sound, then this participant of automatic shield, guarantees the fail safe of conferencing information; (2) pass through to use meeting Cloud Server, make the present invention can be applicable to simultaneous voice videoconference and the asynchronous meeting of fragmentation simultaneously; (3) the present invention is applicable to the cross-reference of multiple terminal, is not limited to one.
Accompanying drawing explanation
Fig. 1 is block diagram of the present invention;
Fig. 2 is the inventive method flow chart.
Embodiment
Below in conjunction with accompanying drawing, technical scheme of the present invention is described in further detail: as shown in Figure 1, based on the videoconference participant identification system of speech feature extraction, it comprises meeting Cloud Server, multiple participant terminal, the mobile telephone exchange network of multiple connection participant terminal and meeting Cloud Server and the Internet, described meeting Cloud Server comprises the memory module that stores the received pronunciation characteristic signal of member, one is carried out the extraction module of feature extraction to real-time phonetic, the comparison module of a standard of comparison phonetic feature signal and real-time phonetic characteristic signal, described participant terminal comprises a microphone.
Described participant terminal comprises host's participant terminal and at least one participant's participant terminal.
Described participant terminal comprises non-intelligent mobile terminal, intelligent mobile terminal and PC terminal, described non-intelligent mobile terminal is connected with the first mobile telephone exchange network by GSM/CDMA/WCDMA, and the first mobile telephone exchange network passes through SMTP/SMGP and is connected with meeting Cloud Server; Described intelligent mobile terminal is connected with the second mobile telephone exchange network by 2G/3G/TCP.IP, second mobile telephone exchange network passes through TCP/IP and is connected with meeting Cloud Server, described intelligent mobile terminal is also connected with the Internet by WIFI/TCP.IP, and the Internet passes through TCP/IP and is connected with meeting Cloud Server; Described PC terminal is connected with the Internet by WEB, and the Internet passes through TCP/IP and is connected with meeting Cloud Server.
As shown in Figure 2, based on the recognition methods of the videoconference participant identification system of speech feature extraction, it comprises the following steps:
S1: the member for participating in videoconference sends membership application;
S2: host receives membership application, carries out role's authentication to member, comprises following sub-step:
S21: host receives membership application, sends authentication instruction to the member for participating in videoconference;
S22: the member for participating in videoconference passes through microphone and sends real-time phonetic to meeting Cloud Server;
S23: meeting Cloud Server carries out feature extraction to real-time phonetic, compares with the received pronunciation characteristic signal of this member prestored and mates, and whether analyze its sound is me:
(1) if sound does not mate, meeting Cloud Server is this member of automatic shield then, sends notice, and terminate to this member APP;
(2) if Sound Match, then step S3 is entered;
S3: meeting Cloud Server judges that whether member is in meeting:
(1) if in meeting, then advise fate is to host;
(2) if not in meeting, this member is added videoconference by meeting Cloud Server, notifies that all participant members have member to add, simultaneously according to member type synchronous regime on member's mobile phone.
Based on the videoconference participant personal identification method of speech feature extraction, also comprise a pre-stored voice characteristic signal step: all users are before participation videoconference, and server can prestore participant's received pronunciation characteristic signal.
Described microphone is mobile phone microphone or External microphone.
Described member type comprises mobile phone member and APP member.
Described sends SMS Tip to member's mobile phone and mobile phone A PP prompting according to member type synchronous regime to member's mobile phone comprises by office side's note switching network.

Claims (8)

1. based on the videoconference participant identification system of speech feature extraction, it is characterized in that: it comprises mobile telephone exchange network and the Internet of meeting Cloud Server, multiple participant terminal, multiple connection participant terminal and meeting Cloud Server, described meeting Cloud Server comprises memory module, comparison module real-time phonetic being carried out to the extraction module of feature extraction, a standard of comparison phonetic feature signal and real-time phonetic characteristic signal that stores the received pronunciation characteristic signal of member, and described participant terminal comprises a microphone.
2. the videoconference participant identification system based on speech feature extraction according to claim 1, is characterized in that: described participant terminal comprises host's participant terminal and at least one participant's participant terminal.
3. the videoconference participant identification system based on speech feature extraction according to claim 1, it is characterized in that: described participant terminal comprises non-intelligent mobile terminal, intelligent mobile terminal and PC terminal, described non-intelligent mobile terminal is connected with the first mobile telephone exchange network by GSM/CDMA/WCDMA, and the first mobile telephone exchange network passes through SMTP/SMGP and is connected with meeting Cloud Server; Described intelligent mobile terminal is connected with the second mobile telephone exchange network by 2G/3G/TCP.IP, second mobile telephone exchange network passes through TCP/IP and is connected with meeting Cloud Server, described intelligent mobile terminal is also connected with the Internet by WIFI/TCP.IP, and the Internet passes through TCP/IP and is connected with meeting Cloud Server; Described PC terminal is connected with the Internet by WEB, and the Internet passes through TCP/IP and is connected with meeting Cloud Server.
4. the recognition methods of the videoconference participant identification system based on speech feature extraction as described in claim 1 ~ 3, is characterized in that: it comprises the following steps:
S1: the member for participating in videoconference sends membership application;
S2: host receives membership application, carries out role's authentication to member, comprises following sub-step:
S21: host receives membership application, sends authentication instruction to the member for participating in videoconference;
S22: the member for participating in videoconference passes through microphone and sends real-time phonetic to meeting Cloud Server;
S23: meeting Cloud Server carries out feature extraction to real-time phonetic, compares with the received pronunciation characteristic signal of this member prestored and mates, and whether analyze its sound is me:
(1) if sound does not mate, meeting Cloud Server is this member of automatic shield then, sends notice, and terminate to this member APP;
(2) if Sound Match, then step S3 is entered;
S3: meeting Cloud Server judges that whether member is in meeting:
(1) if in meeting, then advise fate is to host;
(2) if not in meeting, this member is added videoconference by meeting Cloud Server, notifies that all participant members have member to add, simultaneously according to member type synchronous regime on member's mobile phone.
5. the videoconference participant personal identification method based on speech feature extraction according to claim 4, it is characterized in that: it also comprises a pre-stored voice characteristic signal step: all users are before participation videoconference, and server can prestore participant's received pronunciation characteristic signal.
6. the videoconference participant personal identification method based on speech feature extraction according to claim 4, is characterized in that: described microphone is mobile phone microphone or External microphone.
7. the videoconference participant personal identification method based on speech feature extraction according to claim 4, is characterized in that: described member type comprises mobile phone member and APP member.
8. the videoconference participant personal identification method based on speech feature extraction according to claim 7, is characterized in that: described sends SMS Tip to member's mobile phone and mobile phone A PP prompting according to member type synchronous regime to member's mobile phone comprises by office side's note switching network.
CN201510022211.XA 2015-01-16 2015-01-16 Videoconference participant identification system and method based on speech feature extraction Expired - Fee Related CN104618616B (en)

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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105827616A (en) * 2016-04-25 2016-08-03 四川联友电讯技术有限公司 Video information secure sending and receiving method of fragment asynchronous conference
CN107170452A (en) * 2017-04-27 2017-09-15 广东小天才科技有限公司 The Adding Way and device of a kind of electronic meeting
CN107993665A (en) * 2017-12-14 2018-05-04 科大讯飞股份有限公司 Spokesman role determines method, intelligent meeting method and system in multi-conference scene
CN110348011A (en) * 2019-06-25 2019-10-18 武汉冠科智能科技有限公司 A kind of with no paper meeting shows that object determines method, apparatus and storage medium

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101291239A (en) * 2008-05-20 2008-10-22 华为技术有限公司 Method and apparatus for enhancing effect of meeting
US20110115877A1 (en) * 2009-11-17 2011-05-19 Kang Sung Suk Method for user authentication, and video communication apparatus and display apparatus thereof
CN102630004A (en) * 2012-04-12 2012-08-08 华为技术有限公司 Authentication method for video conference and related device

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101291239A (en) * 2008-05-20 2008-10-22 华为技术有限公司 Method and apparatus for enhancing effect of meeting
US20110115877A1 (en) * 2009-11-17 2011-05-19 Kang Sung Suk Method for user authentication, and video communication apparatus and display apparatus thereof
CN102630004A (en) * 2012-04-12 2012-08-08 华为技术有限公司 Authentication method for video conference and related device

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105827616A (en) * 2016-04-25 2016-08-03 四川联友电讯技术有限公司 Video information secure sending and receiving method of fragment asynchronous conference
CN107170452A (en) * 2017-04-27 2017-09-15 广东小天才科技有限公司 The Adding Way and device of a kind of electronic meeting
CN107993665A (en) * 2017-12-14 2018-05-04 科大讯飞股份有限公司 Spokesman role determines method, intelligent meeting method and system in multi-conference scene
CN110348011A (en) * 2019-06-25 2019-10-18 武汉冠科智能科技有限公司 A kind of with no paper meeting shows that object determines method, apparatus and storage medium

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Effective date of registration: 20200922

Address after: Room 412, block B, national advertising industrial park, Beijing East Road, Jiujiang District, Wuhu City, Anhui Province 241000

Patentee after: Song Qinggang

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