WO2017084591A1 - 恶意电话的识别方法和装置 - Google Patents

恶意电话的识别方法和装置 Download PDF

Info

Publication number
WO2017084591A1
WO2017084591A1 PCT/CN2016/106145 CN2016106145W WO2017084591A1 WO 2017084591 A1 WO2017084591 A1 WO 2017084591A1 CN 2016106145 W CN2016106145 W CN 2016106145W WO 2017084591 A1 WO2017084591 A1 WO 2017084591A1
Authority
WO
WIPO (PCT)
Prior art keywords
phone
voice
malicious
party
call
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/CN2016/106145
Other languages
English (en)
French (fr)
Inventor
王务志
王军
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing Qihoo Technology Co Ltd
Qizhi Software Beijing Co Ltd
Original Assignee
Beijing Qihoo Technology Co Ltd
Qizhi Software Beijing Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Beijing Qihoo Technology Co Ltd, Qizhi Software Beijing Co Ltd filed Critical Beijing Qihoo Technology Co Ltd
Publication of WO2017084591A1 publication Critical patent/WO2017084591A1/zh
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

Links

Images

Classifications

    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00—Speech recognition
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04M—TELEPHONIC COMMUNICATION
    • H04M1/00—Substation equipment, e.g. for use by subscribers
    • H04M1/66—Substation equipment, e.g. for use by subscribers with means for preventing unauthorised or fraudulent calling
    • H04M1/663—Preventing unauthorised calls to a telephone set

Definitions

  • the invention belongs to the technical field of mobile devices, and in particular to a method and device for identifying a malicious phone.
  • the present application provides a method and apparatus for identifying a malicious phone, which can intercept a malicious phone by matching a voice feature point.
  • An embodiment of the present invention provides a method for identifying a malicious phone, including:
  • the voice of the other party is sent to the cloud server, so that the cloud server performs voice analysis on the voice of the other party to obtain the voice feature point of the voice of the other party, and matches the voice feature point of the voice of the other party with the voice feature point in the voice database of the pre-established malicious phone voice feature database. , when the match is successful, return a prompt for a malicious call;
  • the prompt of the malicious phone fed back by the cloud server is displayed on the call interface.
  • the method further includes:
  • the other party's incoming call is identified as a malicious call, and the voice of the malicious phone is recorded for a certain period of time;
  • the malicious phone comprises an intermediary phone, a sales phone, a fraud phone, a harassing phone or a custom phone;
  • the other party's call is identified as a malicious call, including:
  • a phone label option is displayed on the call interface, including the label of the intermediary phone, the tag of the promotional phone, the tag of the scam phone, the tag of the harassing phone, or the option of the custom phone tag.
  • the user selects any label according to the voice of the other party in the phone label option, the user identifies the other party's incoming call as the malicious phone corresponding to the label selected by the user.
  • the method further includes:
  • the tag information is added to the voice of the recorded malicious phone according to the tag selected by the user.
  • the method further includes:
  • the malicious phone voice feature database includes: caller number information of multiple malicious phones, voice feature point information of multiple malicious phones, and tag information of voices of multiple malicious phones;
  • the malicious phone voice feature database further includes: a correspondence between a caller number of the malicious phone and a voice feature point of the malicious phone, a correspondence relationship between the voice feature point of the malicious phone and the tag, a caller number of the malicious phone, and a voice feature point. And a one-to-one correspondence between tags.
  • the prompt of the malicious phone includes the tag information
  • displaying the prompt of the malicious phone on the call interface according to the prompt of the malicious phone fed back by the cloud server including:
  • the user equipment displays the malicious phone label corresponding to the label information on the call interface according to the label information included in the prompt of the malicious phone.
  • the method further includes:
  • the voice of the other party is sent to the cloud server, so that the cloud server performs voice analysis on the voice of the other party to obtain the voice feature point of the voice of the other party, and matches the voice feature point of the voice of the other party with the voice feature point in the pre-established whitelist voice feature database. If the match is unsuccessful, return whether the other party's phone is a selection prompt for a malicious call;
  • the cloud server feeds back the selection prompt of the malicious phone, if the user selects the malicious phone option, the malicious phone option selected by the user is sent to the cloud server, so that the cloud server saves the voice feature point of the voice of the other party to the malicious phone.
  • the voice feature database In the voice feature database.
  • An embodiment of the present invention further provides an apparatus for identifying a malicious phone, including:
  • the acquisition module is configured to collect the voice of the other party for a certain period of time during the process of answering the call;
  • the sending module is configured to send the voice of the other party to the cloud server, so that the cloud server performs voice analysis on the voice of the other party to obtain a voice feature point of the voice of the other party, and the voice feature point of the voice of the other party is in a pre-established voice feature database of the malicious phone.
  • the voice feature points are matched, and when the matching is successful, the prompt of the malicious phone is returned;
  • the display module is configured to display the prompt of the malicious phone on the call interface according to the prompt of the malicious phone fed back by the cloud server.
  • the device further includes:
  • a detecting module configured to detect, according to a user instruction, a user selecting a malicious phone option during the answering call
  • the collecting module is further configured to identify the other party's incoming call as a malicious call, and record the voice of the malicious phone for a certain period of time;
  • the sending module is further configured to send the voice of the malicious phone to the cloud server, so that the cloud server performs voice analysis on the voice of the malicious phone, obtains a voice feature point of the malicious phone, and sets a voice feature point of the malicious phone. Save to the malicious phone voice feature database.
  • the malicious phone comprises an intermediary phone, a sales phone, a fraud phone, a harassing phone or a custom phone;
  • the detecting module is specifically configured to display a phone label option on the call interface during the answering call, where the phone label option includes a label of the intermediary phone, a label of the sales phone, a label of the fraud phone, a label of the harassing phone, or Customize the option of the phone label so that when the user selects any tag in the phone tag option according to the voice of the other party, the other party's caller is identified as the malicious phone corresponding to the tag selected by the user.
  • the device further includes:
  • Adding a module for adding the tag information to the voice of the recorded malicious phone according to the tag selected by the user Adding a module for adding the tag information to the voice of the recorded malicious phone according to the tag selected by the user.
  • the adding module is further configured to add an incoming call number in the voice of the recorded malicious phone.
  • the malicious phone voice feature database includes: caller number information of multiple malicious phones, voice feature point information of multiple malicious phones, and tag information of voices of multiple malicious phones;
  • the malicious phone voice feature database further includes: a correspondence between a caller number of the malicious phone and a voice feature point of the malicious phone, a correspondence relationship between the voice feature point of the malicious phone and the tag, a caller number of the malicious phone, and a voice feature point. And a one-to-one correspondence between tags.
  • the display module is configured to: display the malicious phone corresponding to the tag information on the call interface according to the tag information included in the prompt of the malicious phone label.
  • the collecting module is further configured to collect a voice of the other party for a certain period of time during the process of answering the call;
  • the sending module is further configured to send the voice of the counterpart to the cloud server, so that the cloud server performs voice analysis on the voice of the counterpart, obtains a voice feature point of the voice of the counterpart, and sets the voice feature point of the voice of the opposite party with the pre-established whitelist voice feature.
  • the voice feature points in the database are matched, and when the matching is unsuccessful, the returning party's phone is a selection prompt of the malicious phone;
  • the detecting module is further configured to: according to whether the cloud server feeds back a selection prompt of a malicious phone, when detecting that the user selects a malicious phone option, the malicious phone option selected by the user is passed through
  • the sending module sends the cloud module to the cloud server, so that the cloud server saves the voice feature points of the counterpart voice to the malicious phone voice feature database.
  • Embodiments of the present invention provide a computer program comprising computer readable code that, when run on a computing device, causes the computing device to perform the method of identifying the malicious phone described above.
  • Embodiments of the present invention provide a computer readable medium in which the above computer program is stored.
  • the embodiment of the present invention is based on a malicious phone voice feature database.
  • the user can collect the voice of the other party for a certain period of time; and send the voice of the other party to the cloud server, so that the cloud server performs voice analysis on the voice of the other party to obtain the voice of the other party.
  • the voice feature point matches the voice feature point of the voice of the other party with the voice feature point in the voice feature database of the malicious phone.
  • the prompt of the malicious phone is returned; further, according to the prompt of the malicious phone fed back by the cloud server, The prompt of the malicious phone is displayed on the call interface, so that the user hangs up the malicious call in time to prevent being deceived, thereby improving the security of the user's use of the phone.
  • FIG. 1 is a schematic flowchart of a method for configuring a voice feature database of a malicious phone according to an embodiment of the present application
  • FIG. 2 is a schematic flowchart of a method for identifying a malicious phone according to an embodiment of the present application
  • FIG. 3 is a schematic structural diagram of an apparatus for identifying a malicious phone according to an embodiment of the present application
  • FIG. 4 is a block diagram of a computing device for performing a method for identifying a malicious phone according to an embodiment of the present invention
  • FIG. 5 is a storage unit of a program code for maintaining or carrying a method for recognizing a malicious phone according to an embodiment of the present invention.
  • a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
  • processors CPUs
  • input/output interfaces network interfaces
  • memory volatile and non-volatile memory
  • the memory may include non-persistent memory, random access memory (RAM), and/or non-volatile memory in a computer readable medium, such as read only memory (ROM) or flash memory.
  • RAM random access memory
  • ROM read only memory
  • Memory is an example of a computer readable medium.
  • Computer readable media includes both permanent and non-persistent, removable and non-removable media.
  • Information storage can be implemented by any method or technology.
  • the information can be computer readable instructions, data structures, modules of programs, or other data.
  • Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read only memory. (ROM), electrically erasable programmable read only memory (EEPROM), flash memory or other memory technology, compact disk read only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, Magnetic tape cartridges, magnetic tape storage or other magnetic storage devices or any other non-transportable media can be used to store information that can be accessed by a computing device.
  • computer readable media does not include non-transitory computer readable media, such as modulated data signals and carrier waves.
  • a first device is coupled to a second device
  • the first device can be directly electrically coupled to the second device, or electrically coupled indirectly through other devices or coupling means. Connected to the second device.
  • the description of the preferred embodiments of the present invention is intended to be illustrative of the general principles of the invention, and is not intended to limit the scope of the invention. Wai. The scope of the invention is defined by the appended claims.
  • the method for identifying a malicious phone is based on a malicious phone voice feature database.
  • the user can collect the voice of the other party for a certain period of time; and send the voice of the other party to the cloud server, so that the cloud server can voice the other party.
  • speech analysis to obtain the speech feature points of the other party's speech, matching the speech feature points of the other party's speech with the speech feature points in the malicious phone speech feature database, and returning the prompt of the malicious phone when the matching is successful; further, according to the cloud server
  • the feedback of the malicious phone prompts the prompt of the malicious phone on the call interface, so that the user hangs up the malicious call in time to prevent being deceived.
  • the embodiment of the present invention first describes a method for configuring a voice feature database of a malicious phone:
  • FIG. 1 is a schematic flowchart of a method for configuring a voice feature database of a malicious phone according to an embodiment of the present application. As shown in FIG. 1, the method includes:
  • the phone label option is displayed on the call interface
  • the malicious phone in this embodiment includes, for example, an intermediary phone, a sales phone, a fraud phone, a harassing phone, or a custom phone.
  • a corresponding phone tag is set for each malicious phone, wherein the phone tag option Examples include labels for intermediaries, labels for sales calls, labels for fraudulent calls, tags for harassing calls, or options for custom phone labels.
  • the user selects any label according to the voice of the other party in the phone label option, the user identifies the other party's incoming call as a malicious phone corresponding to the label selected by the user;
  • the intermediary telephone label may be selected in the telephone label option to identify the other party's incoming call identification as an intermediary telephone; and, for example, when the user determines that the incoming call is a fraudulent telephone according to the voice of the opposite party, You can select the scam phone label in the phone label option to identify the other party's caller ID as a scam phone.
  • the method further includes: adding a phone label selected by the user to the voice of the recorded malicious phone according to the phone label selected by the user;
  • the method further includes: adding a caller number in the voice of the recorded malicious phone.
  • the cloud server performs voice analysis on the voice of the malicious phone, and obtains a voice feature point of the malicious phone;
  • the voice recognition feature may be extracted by using a voice recognition technology, which specifically includes:
  • the medium-average power spectrum of the noisy speech is obtained by means of frame averaging
  • the speech recognition technology of the present invention may be any existing speech recognition technology that can implement speech feature point lifting, and the present invention does not limit this.
  • the step 106 is specifically implemented to:
  • the step 106 is specifically implemented to:
  • the cloud server may further identify the voice of the malicious phone as corresponding text information; establish text information of the malicious phone and the Corresponding relationship between the voice feature points of the malicious phone, and storing the correspondence between the text information of the malicious phone and the voice feature point of the malicious phone in the malicious phone voice feature database.
  • the embodiment of the present invention further includes:
  • the voice of the other party is sent to the cloud server, so that the cloud server performs voice analysis on the voice of the other party to obtain the voice feature point of the voice of the other party, and matches the voice feature point of the voice of the other party with the voice feature point in the pre-established whitelist voice feature database. If the match is unsuccessful, return whether the other party's phone is a selection prompt for a malicious call;
  • the cloud server feeds back the selection prompt of the malicious phone, if the user selects the malicious phone option, the malicious phone option selected by the user is sent to the cloud server, so that the cloud server saves the voice feature point of the voice of the other party to the malicious phone.
  • the voice feature database In the voice feature database.
  • the establishment of the pre-established whitelist voice feature database is as follows: user equipment Receiving the contact phone number in the white list, collecting the phone voice of the contact in the white list and sending it to the cloud server, and the cloud server extracts the voice feature point of the phone voice of the contact in the white list, and the voice of the phone voice of the contact in the white list Feature points are saved to the whitelist voice feature database.
  • the malicious phone voice feature database obtained by the method for configuring the voice feature database of the malicious phone according to the embodiment of the present invention includes, but is not limited to, caller number information of multiple malicious phones, and voice feature points of multiple malicious phones. Information, tag information of voices of a plurality of malicious phones, and text information corresponding to voices of a plurality of malicious phones.
  • the malicious phone voice feature database obtained according to the configuration method of the voice feature database of the malicious phone provided by the embodiment of the present invention may further include: a correspondence between the caller number of the malicious phone and the voice feature point of the malicious phone, and malicious The correspondence between the voice feature points of the phone and the tag, the correspondence between the voice feature points of the malicious phone and the text information, the correspondence between the caller number of the malicious phone and the text information, the correspondence between the tag and the text information of the malicious phone, and the malicious phone A one-to-one correspondence between the caller number and the voice feature point and the one-to-one correspondence between the tags, the caller number of the malicious call, the voice feature point, the tag, and the text information.
  • FIG. 2 is a schematic flowchart of a method for identifying a malicious phone according to an embodiment of the present application. As shown in FIG. 2, the method includes:
  • the cloud server performs voice analysis on the voice of the other party to obtain a voice feature point of the voice of the other party, and includes, for example:
  • the medium-average power spectrum of the noisy speech is obtained by means of frame averaging
  • the cepstral coefficient is subjected to mean normalization processing to obtain a speech feature point of the counterpart speech.
  • the voice feature points of the counterpart voice are matched with the voice feature points in the pre-established malicious phone voice feature database, and the implementation includes, for example:
  • the match may be determined to be successful, otherwise the match may fail.
  • step 203 includes:
  • the user equipment displays the malicious phone label corresponding to the label information on the call interface according to the label information included in the prompt of the malicious phone.
  • the prompt of the malicious phone fed back by the cloud server includes the scam phone tag, and the prompt is displayed as a scam call on the call interface;
  • the prompt of the malicious phone fed back by the cloud server includes the advertisement phone label, and the call interface is Displayed as a reminder for an ad call.
  • the malicious phone voice feature database obtained by the method for configuring the voice feature database of the malicious phone provided by the embodiment of the present invention can collect the voice of the other party for a certain period of time and send the voice of the other party to the cloud server during the process of answering the call.
  • the cloud server performs voice analysis on the voice of the other party to obtain a voice feature point of the voice of the other party, and matches the voice feature point of the voice of the other party with the voice feature point in the voice feature database of the malicious phone, and returns a malicious call when the match is successful.
  • the prompt of the malicious phone is displayed on the call interface, so that the user hangs up the malicious call in time to prevent being deceived, thereby improving the security of the user using the phone.
  • FIG. 3 is a schematic structural diagram of a device for identifying a malicious phone according to an embodiment of the present application. As shown in FIG. 3, the method includes:
  • the collecting module 31 is configured to collect a voice of the other party for a certain period of time during the process of answering the call;
  • the sending module 32 is configured to send the voice of the other party to the cloud server, so that the cloud server performs voice analysis on the voice of the partner, obtains a voice feature point of the voice of the other party, and the voice feature point of the voice of the other party is in a pre-established voice feature database of the malicious phone.
  • the voice feature points are matched, and when the matching is successful, the prompt of the malicious call is returned;
  • the display module 33 is configured to display a prompt of the malicious phone on the call interface according to the prompt of the malicious phone fed back by the cloud server.
  • the device further includes:
  • the detecting module 34 is configured to detect, according to a user instruction, a user selecting a malicious phone option during the answering call;
  • the collecting module 31 is further configured to identify the other party's incoming call as a malicious call, and record the voice of the malicious phone for a certain period of time;
  • the sending module 33 is further configured to send the voice of the malicious phone to the cloud server, so that the cloud server performs voice analysis on the voice of the malicious phone, obtains a voice feature point of the malicious phone, and uses the voice feature of the malicious phone. The point is saved to the malicious phone voice feature database.
  • the malicious phone includes an intermediary phone, a sales phone, a fraud phone, a harassing phone or a custom phone;
  • the detecting module 34 is specifically configured to display a phone label option on the call interface during the answering call, where the phone label option includes a label of the intermediary phone, a label of the sales phone, a label of the fraud phone, and a label of the harassing phone. Or customize the option of the phone label, so that when the user selects any tag in the phone tag option according to the voice of the other party, the other party's caller is identified as the malicious phone corresponding to the tag selected by the user.
  • the device further includes:
  • the adding module 35 is configured to add the label information to the voice of the recorded malicious phone according to the label selected by the user.
  • the adding module 35 is further configured to add an incoming call number in the voice of the recorded malicious phone.
  • the malicious phone voice feature database includes: caller number information of multiple malicious phones, voice feature point information of multiple malicious phones, and tag information of voices of multiple malicious phones;
  • the malicious phone voice feature database further includes: a correspondence between a caller number of the malicious phone and a voice feature point of the malicious phone, a correspondence relationship between the voice feature point of the malicious phone and the tag, a caller number of the malicious phone, and a voice feature point. And a one-to-one correspondence between tags.
  • the display module 33 is configured to display the malicious phone tag corresponding to the tag information on the call interface according to the tag information included in the prompt of the malicious phone.
  • the collecting module 31 is further configured to collect a voice of the other party for a certain period of time during the process of answering the call;
  • the sending module 32 is further configured to send the voice of the other party to the cloud server, so that the cloud server performs voice analysis on the voice of the partner, obtains a voice feature point of the voice of the partner, and sets the voice feature point of the voice of the partner with the pre-established whitelist voice.
  • the voice feature points in the feature database are matched, and when the matching is unsuccessful, the returning party's phone is a selection prompt of the malicious phone;
  • the detecting module 34 is further configured to: according to whether the cloud server feeds back a selection prompt of the malicious phone, when detecting the user selecting the malicious phone option, sending the malicious phone option selected by the user to the cloud server through the sending module, The cloud server saves the voice feature points of the counterpart voice to the malicious phone voice feature database.
  • the apparatus shown in FIG. 3 can perform the method described in the embodiment shown in FIG. 1 and FIG. 2, and the implementation principle and technical effects are not described again.
  • Figure 4 illustrates a computing device that can implement a method of identifying a malicious phone in accordance with the present invention.
  • the computing device conventionally includes a processor 410 and a computer program product or computer readable medium in the form of a storage device 420.
  • Storage device 420 can be an electronic memory such as a flash memory, EEPROM (Electrically Erasable Programmable Read Only Memory), EPROM, hard disk, or ROM.
  • Storage device 420 has storage for storing program code 431 for performing any of the method steps described above Space 430.
  • storage space 430 storing program code may include various program code 431 for implementing various steps in the above methods, respectively.
  • the program code can be read from or written to one or more computer program products.
  • These computer program products include program code carriers such as a hard disk, a compact disk (CD), a memory card, or a floppy disk.
  • Such computer program products are typically portable or fixed storage units such as those shown in FIG.
  • the storage unit may have storage segments, storage spaces, and the like that are similarly arranged to storage device 420 in the computing device of FIG.
  • the program code can be compressed, for example, in an appropriate form.
  • the storage unit comprises computer readable code 431' for performing the steps of the method according to the invention, ie code that can be read by a processor such as 410, which when executed by the computing device causes the computing device Perform the various steps in the method described above.

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Security & Cryptography (AREA)
  • Signal Processing (AREA)
  • Computational Linguistics (AREA)
  • Health & Medical Sciences (AREA)
  • Audiology, Speech & Language Pathology (AREA)
  • Human Computer Interaction (AREA)
  • Physics & Mathematics (AREA)
  • Acoustics & Sound (AREA)
  • Multimedia (AREA)
  • Telephonic Communication Services (AREA)
  • Telephone Function (AREA)

Abstract

一种恶意电话的识别方法和装置，在接听电话过程中，采集一定时长的对方语音（201）；将对方语音发送给云端服务器，以使云端服务器将对方语音进行语音分析，得到对方语音的语音特征点，将对方语音的语音特征点与预先建立的恶意电话语音特征数据库中的语音特征点进行匹配，在匹配成功时，返回恶意电话的提示（202）；根据云端服务器反馈的恶意电话的提示，在通话界面上显示恶意电话的提示（203）。

Description

恶意电话的识别方法和装置
相关申请的交叉参考
本申请主张在2015年11月20日在中国提交的中国专利申请号No.201510808754.4的优先权，其全部内容通过引用包含于此。
技术领域
本发明属于移动设备技术领域，具体地说，涉及一种恶意电话的识别方法和装置。
背景技术
当前社会上利用电话不经受话方许可，进行强制性非法电话广告、电话宣传和传真，他们不但在白天也经常在深夜，连续不断地拨打骚扰电话，肆无忌惮地干扰人们正常的生活环境和工作环境，由于骚扰电话很多是通过网络电话的方法实施骚扰话动，现有的公共电话网又无法识别骚扰电话的来源，也很难分辨骚扰电话和正常电话，而且由于当前的电话机只能通过由用户自己预置信任电话号码，隔离其它所有电话的方法防止骚扰电话，这就大大限制了电话机的用途，因此骚扰电话很难杜绝。电话已被社会上破坏分子及不良的商业竞争所利用，进行不法骚扰活动。
发明内容
有鉴于此，本申请提供了一种恶意电话的识别方法和装置，可以实现通过语音特征点的匹配对恶意电话进行拦截。
本发明实施例提供一种恶意电话的识别方法，包括：
在接听电话过程中，采集一定时长的对方语音；
将对方语音发送给云端服务器，以使云端服务器将对方语音进行语音分析，得到对方语音的语音特征点，将对方语音的语音特征点与预先建立的恶意电话语音特征数据库中的语音特征点进行匹配，在匹配成功时，返回恶意电话的提示；
根据云端服务器反馈的恶意电话的提示，在通话界面上显示所述恶意电话的提示。
可选地，所述的方法，还包括：
在接听电话过程中，根据用户指令，在检测到用户选择恶意电话选项时，将对方来电标识为恶意电话，并对恶意电话的语音进行一定时长的录音；
将恶意电话的语音发送给云端服务器，以使所述云端服务器对恶意电话的语音进行语音分析，得到恶意电话的语音特征点，将所述恶意电话的语音特征点保存到恶意电话语音特征数据库中。
可选地，所述恶意电话包括中介电话、推销电话、诈骗电话、骚扰电话或自定义电话；
在接听电话过程中，根据用户指令，在检测到用户选择恶意电话选项时，将对方来电标识为恶意电话，包括：
在接听电话过程中，在通话界面上显示电话标签选项，所述电话标签选项中包括中介电话的标签、推销电话的标签、诈骗电话的标签、骚扰电话的标签或自定义电话标签的选项，以便用户根据对方语音在电话标签选项中选择任一标签时，将对方来电标识为用户选择的标签所对应的恶意电话。
可选地，对恶意电话的语音进行一定时长的录音之后，还包括：
根据用户选择的标签，在录制的恶意电话的语音中添加所述标签信息。
可选地，对恶意电话的语音进行一定时长的录音之后，还包括：
在录制的恶意电话的语音中添加来电号码。
可选地，所述恶意电话语音特征数据库中包括：多个恶意电话的来电号码信息、多个恶意电话的语音特征点信息、多个恶意电话的语音的标签信息；
所述恶意电话语音特征数据库中还包括：恶意电话的来电号码与恶意电话的语音特征点之间的对应关系、恶意电话的语音特征点与标签的对应关系、恶意电话的来电号码和语音特征点以及标签之间的一一对应关系。
可选地，若所述恶意电话的提示中包括标签信息，则根据云端服务器反馈的恶意电话的提示，在通话界面上显示所述恶意电话的提示，包括：
用户设备根据所述恶意电话的提示中包括的标签信息，在通话界面上显示所述标签信息对应的恶意电话标签。
可选地，所述的方法还包括：
在接听电话过程中，采集一定时长的对方语音；
将对方语音发送给云端服务器，以使云端服务器将对方语音进行语音分析，得到对方语音的语音特征点，将对方语音的语音特征点与预先建立的白名单语音特征数据库中的语音特征点进行匹配，在匹配不成功时，返回对方电话是否是恶意电话的选择提示；
根据云端服务器反馈的是否是恶意电话的选择提示，若检测到用户选择恶意电话选项时，将用户选择的恶意电话选项发送给云端服务器，以使云端服务器将对方语音的语音特征点保存到恶意电话语音特征数据库中。
本发明实施例还提供一种恶意电话的识别装置，包括：
采集模块，用于在接听电话过程中，采集一定时长的对方语音；
发送模块，用于将对方语音发送给云端服务器，以使云端服务器将对方语音进行语音分析，得到对方语音的语音特征点，将对方语音的语音特征点与预先建立的恶意电话语音特征数据库中的语音特征点进行匹配，在匹配成功时，返回恶意电话的提示；
显示模块，用于根据云端服务器反馈的恶意电话的提示，在通话界面上显示所述恶意电话的提示。
可选地，所述的装置还包括：
检测模块，用于在接听电话过程中，根据用户指令，检测到用户选择恶意电话选项；
所述采集模块，还用于将对方来电标识为恶意电话，并对恶意电话的语音进行一定时长的录音；
所述发送模块，还用于将恶意电话的语音发送给云端服务器，以使所述云端服务器对恶意电话的语音进行语音分析，得到恶意电话的语音特征点，将所述恶意电话的语音特征点保存到恶意电话语音特征数据库中。
可选地，所述恶意电话包括中介电话、推销电话、诈骗电话、骚扰电话或自定义电话；
所述检测模块具体用于：在接听电话过程中，在通话界面上显示电话标签选项，所述电话标签选项中包括中介电话的标签、推销电话的标签、诈骗电话的标签、骚扰电话的标签或自定义电话标签的选项，以便用户根据对方语音在电话标签选项中选择任一标签时，将对方来电标识为用户选择的标签所对应的恶意电话。
可选地，所述的装置还包括：
添加模块，用于根据用户选择的标签，在录制的恶意电话的语音中添加所述标签信息。
可选地，所述添加模块，还用于在录制的恶意电话的语音中添加来电号码。
可选地，所述恶意电话语音特征数据库中包括：多个恶意电话的来电号码信息、多个恶意电话的语音特征点信息、多个恶意电话的语音的标签信息；
所述恶意电话语音特征数据库中还包括：恶意电话的来电号码与恶意电话的语音特征点之间的对应关系、恶意电话的语音特征点与标签的对应关系、恶意电话的来电号码和语音特征点以及标签之间的一一对应关系。
可选地，若所述恶意电话的提示中包括标签信息，则所述显示模块用于：根据所述恶意电话的提示中包括的标签信息，在通话界面上显示所述标签信息对应的恶意电话标签。
可选地，所述采集模块，还用于在接听电话过程中，采集一定时长的对方语音；
所述发送模块，还用于将对方语音发送给云端服务器，以使云端服务器将对方语音进行语音分析，得到对方语音的语音特征点，将对方语音的语音特征点与预先建立的白名单语音特征数据库中的语音特征点进行匹配，在匹配不成功时，返回对方电话是否是恶意电话的选择提示；
所述检测模块，还用于根据云端服务器反馈的是否是恶意电话的选择提示，当检测到用户选择恶意电话选项时，将用户选择的恶意电话选项通过所 述发送模块发送给云端服务器，以使云端服务器将对方语音的语音特征点保存到恶意电话语音特征数据库中。
本发明实施例提供一种计算机程序，其包括计算机可读代码，当计算机可读代码在计算设备上运行时，导致计算设备执行上述的恶意电话的识别方法。
本发明实施例提供一种计算机可读介质，其中存储了上述计算机程序。
本发明实施例基于恶意电话语音特征数据库，当用户在接听电话过程中，可以采集一定时长的对方语音；并将对方语音发送给云端服务器，以使云端服务器将对方语音进行语音分析，得到对方语音的语音特征点，将对方语音的语音特征点与恶意电话语音特征数据库中的语音特征点进行匹配，在匹配成功时，返回恶意电话的提示；进一步地，根据云端服务器反馈的恶意电话的提示，在通话界面上显示所述恶意电话的提示，以便用户及时挂断恶意电话，防止上当受骗，因此可以提高用户使用电话的安全性。
附图概述
此处所说明的附图用来提供对本申请的进一步理解，构成本申请的一部分，本申请的示意性实施例及其说明用于解释本申请，并不构成对本申请的不当限定。在附图中：
图1是本申请实施例的提供的一种恶意电话的语音特征库的配置方法的流程示意图；
图2是本申请实施例的提供的一种恶意电话的识别方法的流程示意图；
图3是本申请实施例的提供的一种恶意电话的识别装置的结构示意图；
图4是本申请实施例提供的用于执行根据本发明实施例的恶意电话的识别方法的计算设备的框图；
图5本申请实施例的提供的用于保持或者携带实现根据本发明实施例的恶意电话的识别方法的程序代码的存储单元。
本发明的较佳实施方式
以下将配合附图及实施例来详细说明本发明的实施方式，藉此对本发明如何应用技术手段来解决技术问题并达成技术功效的实现过程能充分理解并据以实施。
在一个典型的配置中，计算设备包括一个或多个处理器(CPU)、输入/输出接口、网络接口和内存。
内存可能包括计算机可读介质中的非永久性存储器，随机存取存储器(RAM)和/或非易失性内存等形式，如只读存储器(ROM)或闪存(flash RAM)。内存是计算机可读介质的示例。
计算机可读介质包括永久性和非永久性、可移动和非可移动媒体可以由任何方法或技术来实现信息存储。信息可以是计算机可读指令、数据结构、程序的模块或其他数据。计算机的存储介质的例子包括，但不限于相变内存(PRAM)、静态随机存取存储器(SRAM)、动态随机存取存储器(DRAM)、其他类型的随机存取存储器(RAM)、只读存储器(ROM)、电可擦除可编程只读存储器(EEPROM)、快闪记忆体或其他内存技术、只读光盘只读存储器(CD-ROM)、数字多功能光盘(DVD)或其他光学存储、磁盒式磁带，磁带磁磁盘存储或其他磁性存储设备或任何其他非传输介质，可用于存储可以被计算设备访问的信息。按照本文中的界定，计算机可读介质不包括非暂存电脑可读媒体(transitory media)，如调制的数据信号和载波。
如在说明书及权利要求当中调用了某些词汇来指称特定组件。本领域技术人员应可理解，硬件制造商可能会用不同名词来称呼同一个组件。本说明书及权利要求并不以名称的差异来作为区分组件的方式，而是以组件在功能上的差异来作为区分的准则。如在通篇说明书及权利要求当中所提及的“包含”为一开放式用语，故应解释成“包含但不限定于”。“大致”是指在可接收的误差范围内，本领域技术人员能够在一定误差范围内解决所述技术问题，基本达到所述技术效果。此外，“耦接”一词在此包含任何直接及间接的电性耦接手段。因此，若文中描述一第一装置耦接于一第二装置，则代表所述第一装置可直接电性耦接于所述第二装置，或通过其他装置或耦接手段间接地电性耦接至所述第二装置。说明书后续描述为实施本发明的较佳实施方式，然所述描述乃以说明本发明的一般原则为目的，并非用以限定本发明的范 围。本发明的保护范围当视所附权利要求所界定者为准。
还需要说明的是，术语“包括”、“包含”或者其任何其他变体意在涵盖非排他性的包含，从而使得包括一系列要素的商品或者系统不仅包括那些要素，而且还包括没有明确列出的其他要素，或者是还包括为这种商品或者系统所固有的要素。在没有更多限制的情况下，由语句“包括一个……”限定的要素，并不排除在包括所述要素的商品或者系统中还存在另外的相同要素
本发明实施例的恶意电话的识别方法是基于恶意电话语音特征数据库，当用户在接听电话过程中，可以采集一定时长的对方语音；并将对方语音发送给云端服务器，以使云端服务器将对方语音进行语音分析，得到对方语音的语音特征点，将对方语音的语音特征点与恶意电话语音特征数据库中的语音特征点进行匹配，在匹配成功时，返回恶意电话的提示；进一步地，根据云端服务器反馈的恶意电话的提示，在通话界面上显示所述恶意电话的提示，以便用户及时挂断电话恶意电话，防止上当受骗。
因此，在详细介绍本发明实施例提供的恶意电话的识别方法之前，本发明实施例首先说明一下恶意电话的语音特征库的配置方法：
图1是本申请实施例的提供的一种恶意电话的语音特征库的配置方法的流程示意图，如图1所示，包括：
101、接听电话过程中，在通话界面上显示电话标签选项；
本实施例的恶意电话例如包括中介电话、推销电话、诈骗电话、骚扰电话或自定义电话等，相对应，本实施例中，对每一恶意电话设置有对应的电话标签，其中，电话标签选项例如包括中介电话的标签、推销电话的标签、诈骗电话的标签、骚扰电话的标签或自定义电话标签的选项。
102、用户根据对方语音在电话标签选项中选择任一标签时，将对方来电标识为用户选择的标签所对应的恶意电话；
具体地，例如，当用户根据对方语音确定来电是中介电话，可以在电话标签选项中选择中介电话标签，将对方来电标识标识为中介电话；又例如，当用户根据对方语音确定来电是诈骗电话，可以在电话标签选项中选择诈骗电话标签，将对方来电标识标识为诈骗电话，这里不一一举例说明。
103、对恶意电话的语音进行一定时长的录音；
可选地，步骤103中对恶意电话的语音进行一定时长的录音之后，还包括:根据用户选择的电话标签，在录制的恶意电话的语音中添加用户选择的电话标签；
可选地，步骤103中对恶意电话的语音进行一定时长的录音之后，还包括：在录制的恶意电话的语音中添加来电号码。
104、将恶意电话的语音发送给云端服务器；
105、云端服务器对恶意电话的语音进行语音分析，得到恶意电话的语音特征点；
具体地，步骤105具体实现时可以利用语音识别技术进行语音特征点的提取，具体包括：
获取所述恶意电话的语音的功率谱；
将所获得的功率谱通过滤波处理，获得含噪语音的短时功率谱；
根据所获得的含噪语音的短时功率谱，采用帧平均的方式求取含噪语音的中等时长功率谱；
对所获得的含噪语音的中等时长功率谱进行不对称滤波和掩蔽抗噪处理，以得到纯净语音的中等时长功率谱；
根据所述纯净语音的中等时长功率谱、含噪语音的中等时长功率谱和含噪语音的短时功率谱获取纯净语音的短时功率谱；
对纯净语音的短时功率谱进行能量归一化处理，以消除乘性噪音；
对消除了乘性噪音的纯净语音的短时功率谱进行等响度加重；
对等响度加重后的纯净语音的短时功率谱进行指数非线性操作；
对进行了指数非线性操作后的纯净语音的短时功率谱进行傅立叶逆变换，以求取倒谱系数；
对倒谱系数进行均值归一化处理，得到所述恶意电话的语音特征点。
本发明所述的语音识别技术可以是现有的任何可以实现语音特征点提起的语音识别技术，本发明对此不作任何限定。
106、将恶意电话的语音特征点保存到恶意电话语音特征数据库中。
在一种可选的实施方式中，若所述恶意电话的语音中携带有所述恶意电话的标签；则步骤106在具体实现时包括：
根据所述恶意电话的语音中携带的标签，建立所述恶意电话的语音特征点与所述标签的对应关系；
将所述恶意电话的语音特征点与所述标签的对应关系保存到恶意电话语音特征数据库。
在一种可选的实施方式中，若所述恶意电话的语音中携带有所述恶意电话的来电号码；则步骤106在具体实现时包括：
根据所述恶意电话的语音中携带的来电号码，建立所述恶意电话的语音特征点与所述来电号码的对应关系；
将所述恶意电话的语音特征点与所述来电号码的对应关系保存到恶意电话语音特征数据库中。
在一种可选的实施方式中，云端服务器接收用户设备发送的恶意电话的语音之后，还可以将所述恶意电话的语音识别成对应的文字信息；建立所述恶意电话的文字信息与所述恶意电话的语音特征点之间的对应关系，并将所述恶意电话的文字信息与所述恶意电话的语音特征点之间的对应关系保存到恶意电话语音特征数据库中。
在一种可选的实施方式中，本发明实施例还包括：
在接听电话过程中，采集一定时长的对方语音；
将对方语音发送给云端服务器，以使云端服务器将对方语音进行语音分析，得到对方语音的语音特征点，将对方语音的语音特征点与预先建立的白名单语音特征数据库中的语音特征点进行匹配，在匹配不成功时，返回对方电话是否是恶意电话的选择提示；
根据云端服务器反馈的是否是恶意电话的选择提示，若检测到用户选择恶意电话选项时，将用户选择的恶意电话选项发送给云端服务器，以使云端服务器将对方语音的语音特征点保存到恶意电话语音特征数据库中。
其中，预先建立的白名单语音特征数据库的建立例如为如下：用户设备 接收白名单中联系人电话，采集白名单中联系人的电话语音并发送给云端服务器，云端服务器对白名单中联系人的电话语音进行语音特征点提取，将白名单中联系人的电话语音的语音特征点保存到白名单语音特征数据库中。
由此可知，根据本发明实施例提供的恶意电话的语音特征库的配置方法得到的恶意电话语音特征数据库中包括但不限于：多个恶意电话的来电号码信息、多个恶意电话的语音特征点信息、多个恶意电话的语音的标签信息、多个恶意电话的语音对应的文字信息。
进一步地，本发明实施例提供的根据恶意电话的语音特征库的配置方法得到的恶意电话语音特征数据库中还可以包括：恶意电话的来电号码与恶意电话的语音特征点之间的对应关系、恶意电话的语音特征点与标签的对应关系、恶意电话的语音特征点与文字信息的对应关系、恶意电话的来电号码与文字信息的对应关系、恶意电话的标签与文字信息的对应关系、恶意电话的来电号码和语音特征点以及标签之间的一一对应关系、恶意电话的来电号码、语音特征点、标签以及文字信息之间的一一对应关系。
以下通过具体实施例对本发明的恶意电话的识别方法进行详细的描述。
图2是本申请实施例的提供的一种恶意电话的识别方法的流程示意图，如图2所示，包括：
201、在接听电话过程中，采集一定时长的对方语音；
202、将对方语音发送给云端服务器，以使云端服务器将对方语音进行语音分析，得到对方语音的语音特征点，将对方语音的语音特征点与预先建立的恶意电话语音特征数据库中的语音特征点进行匹配，在匹配成功时，返回恶意电话的提示；
具体地，云端服务器将对方语音进行语音分析，得到对方语音的语音特征点，在实现时包括例如：
获取所述对方语音的功率谱；
将所获得的功率谱通过滤波处理，获得含噪语音的短时功率谱；
根据所获得的含噪语音的短时功率谱，采用帧平均的方式求取含噪语音的中等时长功率谱；
对所获得的含噪语音的中等时长功率谱进行不对称滤波和掩蔽抗噪处理，以得到纯净语音的中等时长功率谱；
根据所述纯净语音的中等时长功率谱、含噪语音的中等时长功率谱和含噪语音的短时功率谱获取纯净语音的短时功率谱；
对纯净语音的短时功率谱进行能量归一化处理，以消除乘性噪音；
对消除了乘性噪音的纯净语音的短时功率谱进行等响度加重处理；
对等响度加重后的纯净语音的短时功率谱进行指数非线性操作；
对进行了指数非线性操作后的纯净语音的短时功率谱进行傅立叶逆变换，以求取倒谱系数；
对倒谱系数进行均值归一化处理，得到所述对方语音的语音特征点。
具体地，将对方语音的语音特征点与预先建立的恶意电话语音特征数据库中的语音特征点进行匹配，在实现时包括例如：
将对方语音的语音特征点与预先建立的恶意电话语音特征数据库中的语音特征点进行匹配时，若相符合的特征点个数大于等于预设的阈值时，则可以确定匹配成功，否则匹配失败。
203、根据云端服务器反馈的恶意电话的提示，在通话界面上显示所述恶意电话的提示。
若所述恶意电话的提示中包括标签信息，则步骤203包括：
用户设备根据所述恶意电话的提示中包括的标签信息，在通话界面上显示所述标签信息对应的恶意电话标签。例如，云端服务器反馈的恶意电话的提示中包括诈骗电话标签，则在通话界面上显示为诈骗电话的提示；又例如，云端服务器反馈的恶意电话的提示中包括广告电话标签，则在通话界面上显示为广告电话的提示。
基于本发明实施例提供的恶意电话的语音特征库的配置方法得到的恶意电话语音特征数据库，当用户在接听电话过程中，可以采集一定时长的对方语音，并将对方语音发送给云端服务器，以使云端服务器将对方语音进行语音分析，得到对方语音的语音特征点，将对方语音的语音特征点与恶意电话语音特征数据库中的语音特征点进行匹配，在匹配成功时，返回恶意电话 的提示；进一步地，根据云端服务器反馈的恶意电话的提示，在通话界面上显示所述恶意电话的提示，以便用户及时挂断电话恶意电话，防止上当受骗，因此可以提高用户使用电话的安全性。
图3是本申请实施例的提供的一种恶意电话的识别装置的结构示意图，如图3所示，包括：
采集模块31，用于在接听电话过程中，采集一定时长的对方语音；
发送模块32，用于将对方语音发送给云端服务器，以使云端服务器将对方语音进行语音分析，得到对方语音的语音特征点，将对方语音的语音特征点与预先建立的恶意电话语音特征数据库中的语音特征点进行匹配，在匹配成功时，返回恶意电话的提示；
显示模块33，用于根据云端服务器反馈的恶意电话的提示，在通话界面上显示所述恶意电话的提示。
可选地，所述的装置还包括：
检测模块34，用于在接听电话过程中，根据用户指令，检测到用户选择恶意电话选项；
所述采集模块31，还用于将对方来电标识为恶意电话，并对恶意电话的语音进行一定时长的录音；
所述发送模块33，还用于将恶意电话的语音发送给云端服务器，以使所述云端服务器对恶意电话的语音进行语音分析，得到恶意电话的语音特征点，将所述恶意电话的语音特征点保存到恶意电话语音特征数据库中。
所述恶意电话包括中介电话、推销电话、诈骗电话、骚扰电话或自定义电话；
所述检测模块34具体用于：在接听电话过程中，在通话界面上显示电话标签选项，所述电话标签选项中包括中介电话的标签、推销电话的标签、诈骗电话的标签、骚扰电话的标签或自定义电话标签的选项，以便用户根据对方语音在电话标签选项中选择任一标签时，将对方来电标识为用户选择的标签所对应的恶意电话。
可选地，所述的装置还包括：
添加模块35，用于根据用户选择的标签，在录制的恶意电话的语音中添加所述标签信息。
所述添加模块35，还用于在录制的恶意电话的语音中添加来电号码。
所述恶意电话语音特征数据库中包括：多个恶意电话的来电号码信息、多个恶意电话的语音特征点信息、多个恶意电话的语音的标签信息；
所述恶意电话语音特征数据库中还包括：恶意电话的来电号码与恶意电话的语音特征点之间的对应关系、恶意电话的语音特征点与标签的对应关系、恶意电话的来电号码和语音特征点以及标签之间的一一对应关系。
若所述恶意电话的提示中包括标签信息，则所述显示模块33用于：根据所述恶意电话的提示中包括的标签信息，在通话界面上显示所述标签信息对应的恶意电话标签。
所述采集模块31，还用于在接听电话过程中，采集一定时长的对方语音；
所述发送模块32，还用于将对方语音发送给云端服务器，以使云端服务器将对方语音进行语音分析，得到对方语音的语音特征点，将对方语音的语音特征点与预先建立的白名单语音特征数据库中的语音特征点进行匹配，在匹配不成功时，返回对方电话是否是恶意电话的选择提示；
所述检测模块34，还用于根据云端服务器反馈的是否是恶意电话的选择提示，当检测到用户选择恶意电话选项时，将用户选择的恶意电话选项通过所述发送模块发送给云端服务器，以使云端服务器将对方语音的语音特征点保存到恶意电话语音特征数据库中。
图3所示装置可以执行图1和图2所示实施例中所述的方法，其实现原理和技术效果不再赘述。
图4示出了可以实现根据本发明的恶意电话的识别方法的计算设备。该计算设备传统上包括处理器410和以存储设备420形式的计算机程序产品或者计算机可读介质。存储设备420可以是诸如闪存、EEPROM(电可擦除可编程只读存储器)、EPROM、硬盘或者ROM之类的电子存储器。存储设备420具有存储用于执行上述方法中的任何方法步骤的程序代码431的存储 空间430。例如，存储程序代码的存储空间430可以包括分别用于实现上面的方法中的各种步骤的各个程序代码431。这些程序代码可以从一个或者多个计算机程序产品中读出或者写入到这一个或者多个计算机程序产品中。这些计算机程序产品包括诸如硬盘、紧致盘(CD)、存储卡或者软盘之类的程序代码载体。这样的计算机程序产品通常为例如图5所示的便携式或者固定存储单元。该存储单元可以具有与图4的计算设备中的存储设备420类似布置的存储段、存储空间等。程序代码可以例如以适当形式进行压缩。通常，存储单元包括用于执行根据本发明的方法步骤的计算机可读代码431＇，即可以由诸如410之类的处理器读取的代码，当这些代码由计算设备运行时，导致该计算设备执行上面所描述的方法中的各个步骤。
上述说明示出并描述了本发明的若干优选实施例，但如前所述，应当理解本发明并非局限于本文所披露的形式，不应看作是对其他实施例的排除，而可用于各种其他组合、修改和环境，并能够在本文所述发明构想范围内，通过上述教导或相关领域的技术或知识进行改动。而本领域人员所进行的改动和变化不脱离本发明的精神和范围，则都应在本发明所附权利要求的保护范围内。

Claims (18)

  1. 一种恶意电话的识别方法，位于用户设备侧执行，其特征在于，包括：
    在接听电话过程中，采集一定时长的对方语音；
    将对方语音发送给云端服务器，以使云端服务器将对方语音进行语音分析，得到对方语音的语音特征点，将对方语音的语音特征点与预先建立的恶意电话语音特征数据库中的语音特征点进行匹配，在匹配成功时，返回恶意电话的提示；
    根据云端服务器反馈的恶意电话的提示，在通话界面上显示所述恶意电话的提示。
  2. 如权利要求1所述的方法，其特征在于，还包括：
    在接听电话过程中，根据用户指令，在检测到用户选择恶意电话选项时，将对方来电标识为恶意电话，并对恶意电话的语音进行一定时长的录音；
    将恶意电话的语音发送给云端服务器，以使所述云端服务器对恶意电话的语音进行语音分析，得到恶意电话的语音特征点，将所述恶意电话的语音特征点保存到恶意电话语音特征数据库中。
  3. 如权利要求2所述的方法，其特征在于，所述恶意电话包括中介电话、推销电话、诈骗电话、骚扰电话或自定义电话；
    在接听电话过程中，根据用户指令，在检测到用户选择恶意电话选项时，将对方来电标识为恶意电话，包括：
    在接听电话过程中，在通话界面上显示电话标签选项，所述电话标签选项中包括中介电话的标签、推销电话的标签、诈骗电话的标签、骚扰电话的标签或自定义电话标签的选项，以便用户根据对方语音在电话标签选项中选择任一标签时，将对方来电标识为用户选择的标签所对应的恶意电话。
  4. 如权利要求3所述的方法，其特征在于，对恶意电话的语音进行一定时长的录音之后，还包括：
    根据用户选择的标签，在录制的恶意电话的语音中添加所述标签信息。
  5. 如权利要求2所述的方法，其特征在于，对恶意电话的语音进行一定时长的录音之后，还包括：
    在录制的恶意电话的语音中添加来电号码。
  6. 如权利要求1-5中任一项所述的方法，其特征在于，所述恶意电话语音特征数据库中包括：多个恶意电话的来电号码信息、多个恶意电话的语音特征点信息、多个恶意电话的语音的标签信息；
    所述恶意电话语音特征数据库中还包括：恶意电话的来电号码与恶意电话的语音特征点之间的对应关系、恶意电话的语音特征点与标签的对应关系、恶意电话的来电号码和语音特征点以及标签之间的一一对应关系。
  7. 如权利要求6所述的方法，其特征在于，若所述恶意电话的提示中包括标签信息，则根据云端服务器反馈的恶意电话的提示，在通话界面上显示所述恶意电话的提示，包括：
    用户设备根据所述恶意电话的提示中包括的标签信息，在通话界面上显示所述标签信息对应的恶意电话标签。
  8. 如权利要求1所述的方法，其特征在于，还包括：
    在接听电话过程中，采集一定时长的对方语音；
    将对方语音发送给云端服务器，以使云端服务器将对方语音进行语音分析，得到对方语音的语音特征点，将对方语音的语音特征点与预先建立的白名单语音特征数据库中的语音特征点进行匹配，在匹配不成功时，返回对方电话是否是恶意电话的选择提示；
    根据云端服务器反馈的是否是恶意电话的选择提示，若检测到用户选择恶意电话选项时，将用户选择的恶意电话选项发送给云端服务器，以使云端服务器将对方语音的语音特征点保存到恶意电话语音特征数据库中。
  9. 一种恶意电话的识别装置，其特征在于，包括：
    采集模块，用于在接听电话过程中，采集一定时长的对方语音；
    发送模块，用于将对方语音发送给云端服务器，以使云端服务器将对方语音进行语音分析，得到对方语音的语音特征点，将对方语音的语音特征点与预先建立的恶意电话语音特征数据库中的语音特征点进行匹配，在匹配成 功时，返回恶意电话的提示；
    显示模块，用于根据云端服务器反馈的恶意电话的提示，在通话界面上显示所述恶意电话的提示。
  10. 如权利要求9所述的装置，其特征在于，还包括：
    检测模块，用于在接听电话过程中，根据用户指令，检测到用户选择恶意电话选项；
    所述采集模块，还用于将对方来电标识为恶意电话，并对恶意电话的语音进行一定时长的录音；
    所述发送模块，还用于将恶意电话的语音发送给云端服务器，以使所述云端服务器对恶意电话的语音进行语音分析，得到恶意电话的语音特征点，将所述恶意电话的语音特征点保存到恶意电话语音特征数据库中。
  11. 如权利要求10所述的装置，其特征在于，所述恶意电话包括中介电话、推销电话、诈骗电话、骚扰电话或自定义电话；
    所述检测模块具体用于：在接听电话过程中，在通话界面上显示电话标签选项，所述电话标签选项中包括中介电话的标签、推销电话的标签、诈骗电话的标签、骚扰电话的标签或自定义电话标签的选项，以便用户根据对方语音在电话标签选项中选择任一标签时，将对方来电标识为用户选择的标签所对应的恶意电话。
  12. 如权利要求11所述的装置，其特征在于，还包括：
    添加模块，用于根据用户选择的标签，在录制的恶意电话的语音中添加所述标签信息。
  13. 如权利要求10所述的装置，其特征在于，所述添加模块，还用于在录制的恶意电话的语音中添加来电号码。
  14. 如权利要求9-13中任一项所述的装置，其特征在于，所述恶意电话语音特征数据库中包括：多个恶意电话的来电号码信息、多个恶意电话的语音特征点信息、多个恶意电话的语音的标签信息；
    所述恶意电话语音特征数据库中还包括：恶意电话的来电号码与恶意电话的语音特征点之间的对应关系、恶意电话的语音特征点与标签的对应关 系、恶意电话的来电号码和语音特征点以及标签之间的一一对应关系。
  15. 如权利要求14所述的装置，其特征在于，若所述恶意电话的提示中包括标签信息，则所述显示模块用于：根据所述恶意电话的提示中包括的标签信息，在通话界面上显示所述标签信息对应的恶意电话标签。
  16. 如权利要求9所述的装置，其特征在于，
    所述采集模块，还用于在接听电话过程中，采集一定时长的对方语音；
    所述发送模块，还用于将对方语音发送给云端服务器，以使云端服务器将对方语音进行语音分析，得到对方语音的语音特征点，将对方语音的语音特征点与预先建立的白名单语音特征数据库中的语音特征点进行匹配，在匹配不成功时，返回对方电话是否是恶意电话的选择提示；
    所述检测模块，还用于根据云端服务器反馈的是否是恶意电话的选择提示，当检测到用户选择恶意电话选项时，将用户选择的恶意电话选项通过所述发送模块发送给云端服务器，以使云端服务器将对方语音的语音特征点保存到恶意电话语音特征数据库中。
  17. 一种计算机程序，包括计算机可读代码，当所述计算机可读代码在计算设备上运行时，导致所述计算设备执行根据权利要求1-8中的任一项所述的恶意电话的识别方法。
  18. 一种计算机可读介质，其中存储了如权利要求17所述的计算机程序。
PCT/CN2016/106145 2015-11-20 2016-11-16 恶意电话的识别方法和装置 Ceased WO2017084591A1 (zh)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201510808754.4A CN106782495A (zh) 2015-11-20 2015-11-20 恶意电话的识别方法和装置
CN201510808754.4 2015-11-20

Publications (1)

Publication Number Publication Date
WO2017084591A1 true WO2017084591A1 (zh) 2017-05-26

Family

ID=58717391

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2016/106145 Ceased WO2017084591A1 (zh) 2015-11-20 2016-11-16 恶意电话的识别方法和装置

Country Status (2)

Country Link
CN (1) CN106782495A (zh)
WO (1) WO2017084591A1 (zh)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110610705A (zh) * 2019-09-20 2019-12-24 上海数鸣人工智能科技有限公司 一种基于人工智能的语音交互提示器
CN112151070A (zh) * 2019-06-26 2020-12-29 杭州海康威视数字技术股份有限公司 一种语音检测的方法、装置及电子设备

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107154996B (zh) * 2017-06-30 2020-02-11 Oppo广东移动通信有限公司 来电拦截方法、装置、存储介质及终端
CN108848507A (zh) * 2018-05-31 2018-11-20 厦门快商通信息技术有限公司 一种不良电信用户信息采集方法
CN109547621A (zh) * 2018-12-11 2019-03-29 平安科技（深圳）有限公司 一种信息提醒方法、装置、电子设备及存储介质

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103095889A (zh) * 2013-01-07 2013-05-08 上海欣方智能系统有限公司 一种基于通话模式识别的垃圾呼叫拦截系统及其工作方法
CN104113466A (zh) * 2013-04-17 2014-10-22 腾讯科技（深圳）有限公司 一种骚扰电话的识别方法、客户端、服务器及系统
CN104184872A (zh) * 2014-09-14 2014-12-03 陈桂芳 一种基于通话内容防骚扰电话的手机实现方法
CN104320529A (zh) * 2014-11-10 2015-01-28 京东方科技集团股份有限公司 一种信息接收处理方法及语音通信设备
CN105120068A (zh) * 2015-07-16 2015-12-02 百度在线网络技术（北京）有限公司 一种语音通信的接听方法及装置
CN105338157A (zh) * 2014-07-29 2016-02-17 小米科技有限责任公司 骚扰电话处理方法、装置及电话

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103095889A (zh) * 2013-01-07 2013-05-08 上海欣方智能系统有限公司 一种基于通话模式识别的垃圾呼叫拦截系统及其工作方法
CN104113466A (zh) * 2013-04-17 2014-10-22 腾讯科技（深圳）有限公司 一种骚扰电话的识别方法、客户端、服务器及系统
CN105338157A (zh) * 2014-07-29 2016-02-17 小米科技有限责任公司 骚扰电话处理方法、装置及电话
CN104184872A (zh) * 2014-09-14 2014-12-03 陈桂芳 一种基于通话内容防骚扰电话的手机实现方法
CN104320529A (zh) * 2014-11-10 2015-01-28 京东方科技集团股份有限公司 一种信息接收处理方法及语音通信设备
CN105120068A (zh) * 2015-07-16 2015-12-02 百度在线网络技术（北京）有限公司 一种语音通信的接听方法及装置

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112151070A (zh) * 2019-06-26 2020-12-29 杭州海康威视数字技术股份有限公司 一种语音检测的方法、装置及电子设备
CN112151070B (zh) * 2019-06-26 2023-05-05 杭州海康威视数字技术股份有限公司 一种语音检测的方法、装置及电子设备
CN110610705A (zh) * 2019-09-20 2019-12-24 上海数鸣人工智能科技有限公司 一种基于人工智能的语音交互提示器
CN110610705B (zh) * 2019-09-20 2023-07-25 上海数鸣人工智能科技有限公司 一种基于人工智能的语音交互提示器

Also Published As

Publication number Publication date
CN106782495A (zh) 2017-05-31

Similar Documents

Publication Publication Date Title
US11140267B1 (en) Voice and speech recognition for call center feedback and quality assurance
US10623557B2 (en) Cognitive telephone fraud detection
CN104966053B (zh) 人脸识别方法及识别系统
US10438591B1 (en) Hotword-based speaker recognition
US9519827B2 (en) Personalized, automated receptionist
US20160301787A1 (en) Identifying a contact based on a voice communication session
WO2017076314A1 (zh) 自适应识别骚扰电话的处理方法及系统
CN105141787A (zh) 服务录音的合规检查方法及装置
WO2017084592A1 (zh) 恶意电话的语音特征库的配置方法和装置
CN107808423A (zh) 一种基于服务机器人的员工考勤签到系统与实现方法
KR102248843B1 (ko) 피호출자의 전자 디바이스에서 연락처 정보를 업데이트하는 방법 및 전자 디바이스
US10706839B1 (en) Electronic signatures via voice for virtual assistants' interactions
CN110290280A (zh) 一种终端状态的识别方法、装置及存储介质
CN106790950A (zh) 恶意电话的识别方法和装置
CN106782495A (zh) 恶意电话的识别方法和装置
WO2017059679A1 (zh) 一种帐号处理方法及装置
CN106558311B (zh) 语音内容提示方法和装置
CN105791712A (zh) 自动还原丢失语音信息的系统与方法
US20160351185A1 (en) Voice recognition device and method
Vittori Ultimate password: is voice the best biometric to beat hackers?
WO2016107274A1 (zh) 一种电话号码标注的方法及装置
WO2016107277A1 (zh) 一种基于电话号码的信息加载方法及装置
GB2523577A (en) Speaker recognition method
CN107154996B (zh) 来电拦截方法、装置、存储介质及终端
US10091353B1 (en) Identical conversation detection systems and processes

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 16865768

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 16865768

Country of ref document: EP

Kind code of ref document: A1