CN113099044A - Method, apparatus, device, medium and product for detecting incoming call device - Google Patents
Method, apparatus, device, medium and product for detecting incoming call device Download PDFInfo
- Publication number
- CN113099044A CN113099044A CN202110380055.XA CN202110380055A CN113099044A CN 113099044 A CN113099044 A CN 113099044A CN 202110380055 A CN202110380055 A CN 202110380055A CN 113099044 A CN113099044 A CN 113099044A
- Authority
- CN
- China
- Prior art keywords
- detection
- incoming call
- detected
- information
- voice information
- 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.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 62
- 238000001514 detection method Methods 0.000 claims abstract description 224
- 230000000977 initiatory effect Effects 0.000 claims abstract description 36
- 238000012360 testing method Methods 0.000 claims description 63
- 238000013515 script Methods 0.000 claims description 55
- 238000006243 chemical reaction Methods 0.000 claims description 20
- 238000004590 computer program Methods 0.000 claims description 20
- 238000013507 mapping Methods 0.000 claims description 20
- 238000004422 calculation algorithm Methods 0.000 claims description 17
- 230000004044 response Effects 0.000 claims description 13
- 230000009977 dual effect Effects 0.000 claims description 7
- 238000013473 artificial intelligence Methods 0.000 abstract description 2
- 238000010586 diagram Methods 0.000 description 16
- 230000015654 memory Effects 0.000 description 16
- 230000006870 function Effects 0.000 description 14
- 238000004891 communication Methods 0.000 description 10
- 230000008569 process Effects 0.000 description 10
- 238000005516 engineering process Methods 0.000 description 5
- 238000012545 processing Methods 0.000 description 5
- 238000005259 measurement Methods 0.000 description 4
- 230000003287 optical effect Effects 0.000 description 3
- 230000002159 abnormal effect Effects 0.000 description 2
- 238000013459 approach Methods 0.000 description 2
- 238000000605 extraction Methods 0.000 description 2
- 230000002452 interceptive effect Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 239000003795 chemical substances by application Substances 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 238000004806 packaging method and process Methods 0.000 description 1
- 230000002441 reversible effect Effects 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 230000008054 signal transmission Effects 0.000 description 1
- 230000011664 signaling Effects 0.000 description 1
- 239000000758 substrate Substances 0.000 description 1
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M3/00—Automatic or semi-automatic exchanges
- H04M3/42—Systems providing special services or facilities to subscribers
- H04M3/50—Centralised arrangements for answering calls; Centralised arrangements for recording messages for absent or busy subscribers ; Centralised arrangements for recording messages
- H04M3/51—Centralised call answering arrangements requiring operator intervention, e.g. call or contact centers for telemarketing
- H04M3/5175—Call or contact centers supervision arrangements
-
- 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
- G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Marketing (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)
Abstract
The present disclosure provides a method for detecting an incoming call device, which can be used in the technical field of finance and the technical field of artificial intelligence. The method for detecting the incoming call device comprises the following steps: based on the acquired detection task, initiating a call to the incoming call device to be detected for which the detection task is directed; recording voice information sent by the incoming call equipment to be detected after a call is answered, and obtaining the voice information aiming at the incoming call equipment to be detected; storing the voice information to a preset storage space; periodically acquiring voice information from a predetermined storage space based on a predetermined period, and converting the acquired voice information into text information; and comparing the text information with a preset text to determine a detection result of the to-be-detected incoming call device, to which the acquired voice information is directed, based on the comparison result. The present disclosure also provides an apparatus, device, medium, and product for detecting an incoming call device.
Description
Technical Field
The present disclosure relates to the field of communications technologies, in particular to the field of financial technologies and artificial intelligence technologies, and more particularly, to a method, an apparatus, a device, a medium, and a product for detecting an incoming call device.
Background
The automatic detection of the call center line plays a crucial role in the active inspection and problem discovery of a call center system, middleware and a database.
In the related art, the detection is usually performed by a spot check method. In the detection process, test voice is sent to the terminal of the seat to be detected, feedback voice about the test voice sent by the terminal of the seat to be detected is received, and whether the line of the seat to be detected is normal is determined in real time according to the feedback voice. The method needs to occupy the voice recognition online interface for a long time, and needs to occupy expensive voice recognition online interface resources for a long time under the conditions of more detection lines, longer detection time of a single line, deeper voice menus and the like.
Disclosure of Invention
In view of the foregoing, the present disclosure provides a method, apparatus, device, medium, and article of manufacture for detecting an incoming device that avoids long term occupation of voice recognition online interface resources.
According to a first aspect of the present disclosure, there is provided a method of detecting an incoming call device, the method comprising: based on the acquired detection task, initiating a call to the incoming call device to be detected for which the detection task is directed; recording voice information sent by the incoming call equipment to be detected after the call is answered, and obtaining the voice information aiming at the incoming call equipment to be detected; storing the voice information to a preset storage space; periodically acquiring voice information from a predetermined storage space based on a predetermined period, and converting the acquired voice information into text information; and comparing the text information with a preset text to determine a detection result of the to-be-detected incoming call device, to which the acquired voice information is directed, based on the comparison result.
According to the embodiment of the disclosure, the detection task comprises a list to be detected and a detection mode, wherein the detection list comprises at least one dial detection number of the incoming call equipment to be detected; the initiating a call to the to-be-detected incoming call device targeted by the detection task includes: acquiring a detection script matched with the detection mode; and running a detection script based on the dial testing number to initiate a call to at least one incoming call device to be tested.
According to an embodiment of the present disclosure, the detection means includes at least one of: a dual tone multi-frequency signal detection mode and a voice detection mode.
According to an embodiment of the present disclosure, the method for detecting an incoming call device further includes generating a detection task, including: in response to the acquisition of detection parameters including identification information of the incoming call device to be detected, extracting a number from a number pool aiming at the incoming call device to be detected based on the identification information of the incoming call device to be detected, and using the number as a dial detection number of the incoming call device to be detected; and generating a detection task for the incoming call device to be detected based on the detection task template, the dial detection number and the detection parameters.
According to an embodiment of the present disclosure, the generating the detection task further includes: generating a task number based on a preset rule in response to the acquisition of the detection parameter; determining the number of the soft switch equipment initiating a call to the incoming call equipment to be detected by adopting a distributed cluster algorithm based on the task number; determining a calling interface and an address corresponding to the number of the soft switching equipment initiating a call to the incoming equipment to be detected as a target calling interface and a target address according to the mapping relation between the number of the soft switching equipment and the address of the soft switching equipment and the mapping relation between the number of the soft switching equipment and the calling interface of the soft switching equipment; and generating a detection task for the incoming call equipment to be detected based on the detection task template, the dial detection number, the detection parameters, the target calling interface and the target address.
According to an embodiment of the present disclosure, the distributed clustering algorithm includes a consistent hashing algorithm.
According to an embodiment of the present disclosure, the comparing the text information with the predetermined text includes: comparing the text information with a preset text to determine whether the text information comprises a character string in the preset text; and determining that the to-be-detected incoming call equipment to which the acquired voice information aims is normal under the condition that the text information comprises the character strings in the preset text.
A second aspect of the present disclosure provides an apparatus for detecting an incoming call device, comprising: the call initiating module is used for initiating a call to the incoming call device to be detected, which is aimed at by the detection task, based on the acquired detection task; the voice recording module is used for recording voice information sent by the incoming call equipment to be detected after the call is answered, and obtaining the voice information aiming at the incoming call equipment to be detected; the voice storage module is used for storing the voice information to a preset storage space; the voice conversion module is used for periodically acquiring voice information from a preset storage space based on a preset period and converting the acquired voice information into text information; and the information comparison module is used for comparing the text information with a preset text so as to determine the detection result of the to-be-detected incoming call equipment aiming at the acquired voice information based on the comparison result.
According to the embodiment of the disclosure, the detection task comprises a list to be detected and a detection mode, wherein the list to be detected comprises at least one dial test number of the incoming call equipment to be detected; the call initiating module comprises: the script acquisition submodule is used for acquiring a detection script matched with the detection mode; and the calling sub-module is used for running the detection script based on the dial testing number so as to initiate a call to at least one incoming call device to be detected.
According to an embodiment of the present disclosure, the detection manner includes at least one of: a dual tone multi-frequency signal detection mode and a voice detection mode.
According to an embodiment of the present disclosure, the apparatus for detecting an incoming call device further includes a task generating module, configured to generate a detection task, where the task generating module includes: the number extraction submodule is used for extracting a number from a number pool aiming at the incoming call equipment to be detected as a dial test number of the incoming call equipment to be detected based on the identification information of the incoming call equipment to be detected in response to the detection parameter which comprises the identification information of the incoming call equipment to be detected; and the task generation submodule is used for generating a detection task for the incoming call equipment to be detected based on the detection task template, the dial detection number and the detection parameters.
According to an embodiment of the present disclosure, the task generating module further includes: the number generation submodule is used for responding to the acquired detection parameters and generating task numbers based on a preset rule; the number determining submodule is used for determining the number of the soft switching equipment initiating a call to the incoming call equipment to be detected by adopting a distributed cluster algorithm based on the task number; the address determination submodule is used for determining a calling interface and an address corresponding to the number of the soft switching equipment initiating a call to the incoming equipment to be detected as a target calling interface and a target address according to the mapping relation between the number of the soft switching equipment and the address of the soft switching equipment and the mapping relation between the number of the soft switching equipment and the calling interface of the soft switching equipment; the task generation submodule is specifically configured to: and generating a detection task aiming at the incoming call equipment to be detected based on the detection task template, the dial detection number, the detection parameters, the target calling interface and the target address.
According to an embodiment of the present disclosure, the distributed clustering algorithm includes a consistent hashing algorithm.
According to an embodiment of the present disclosure, the information comparing module includes: the comparison submodule is used for comparing the text information with the preset text and determining whether the text information comprises character strings in the preset text; and the equipment state determining submodule is used for determining that the to-be-detected incoming call equipment aimed at the acquired voice information is normal under the condition that the text information comprises character strings in the preset text.
A third aspect of the present disclosure provides an electronic device, comprising: one or more processors; memory for storing one or more programs, wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to perform the above-described method of detecting an incoming call device.
A fourth aspect of the present disclosure also provides a computer-readable storage medium having stored thereon executable instructions that, when executed by a processor, cause the processor to perform the method of detecting an incoming call device described above.
A fifth aspect of the present disclosure also provides a computer program product comprising a computer program which, when executed by a processor, implements the method of detecting an incoming call device as described above.
Drawings
The foregoing and other objects, features and advantages of the disclosure will be apparent from the following description of embodiments of the disclosure, which proceeds with reference to the accompanying drawings, in which:
fig. 1 schematically illustrates an application scenario diagram of a method, apparatus, device, medium, and product for detecting an incoming device according to an embodiment of the present disclosure;
fig. 2 schematically shows a flow chart of a method of detecting an incoming call device according to an embodiment of the present disclosure;
fig. 3 schematically illustrates a schematic diagram of initiating a call to an incoming call device to be detected according to an embodiment of the present disclosure;
FIG. 4 schematically shows a flow diagram for generating detection tasks according to an embodiment of the disclosure;
FIG. 5 schematically shows a flow diagram for generating detection tasks according to another embodiment of the present disclosure;
figure 6 schematically illustrates an overall flow diagram of a method of detecting an incoming call device according to an embodiment of the disclosure;
fig. 7 schematically shows a block diagram of an apparatus for detecting an incoming call device according to an embodiment of the present disclosure; and
fig. 8 schematically shows a block diagram of an electronic device adapted to implement a method of detecting an incoming device according to an embodiment of the present disclosure.
Detailed Description
Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. It should be understood that the description is illustrative only and is not intended to limit the scope of the present disclosure. In the following detailed description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the disclosure. It may be evident, however, that one or more embodiments may be practiced without these specific details. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present disclosure.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. The terms "comprises," "comprising," and the like, as used herein, specify the presence of stated features, steps, operations, and/or components, but do not preclude the presence or addition of one or more other features, steps, operations, or components.
All terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art unless otherwise defined. It is noted that the terms used herein should be interpreted as having a meaning that is consistent with the context of this specification and should not be interpreted in an idealized or overly formal sense.
Where a convention analogous to "at least one of A, B and C, etc." is used, in general such a construction is intended in the sense one having skill in the art would understand the convention (e.g., "a system having at least one of A, B and C" would include but not be limited to systems that have a alone, B alone, C alone, a and B together, a and C together, B and C together, and/or A, B, C together, etc.).
The embodiment of the disclosure provides a method for detecting incoming call equipment, which comprises a call initiating stage, a voice recording stage, a voice storage stage, a voice conversion stage and an information comparison stage. And in a call initiating stage, initiating a call to the incoming call device to be detected, which is aimed at by the detection task, based on the acquired detection task. In the voice recording stage, voice information sent by the incoming call device to be detected after the call is answered is recorded, and the voice information aiming at the incoming call device to be detected is obtained. And in the voice storage stage, storing the voice information into a preset storage space. In the speech conversion stage, speech information is periodically acquired from a predetermined storage space on the basis of a predetermined period, and the acquired speech information is converted into text information. In the information comparison stage, the text information is compared with a preset text, so that the detection result of the to-be-detected incoming call device, which is aimed at the acquired voice information, is determined based on the comparison result.
Fig. 1 schematically illustrates an application scenario diagram of a method, apparatus, device, medium, and product for detecting an incoming call device according to an embodiment of the present disclosure.
As shown in FIG. 1, the application scenario 100 of this embodiment may include, for example, an electronic device 110, outgoing call servers 121-123, incoming call servers 131-133, and a telephone 140. The electronic device and the calling server can be connected through network communication, and the calling server, and the telephone and the calling server can transmit signals through a signal base station. The network may comprise, for example, wireless or wired communication links.
The electronic device 110 may be, for example, an electronic device with processing functionality including, but not limited to, a smartphone, a tablet, a laptop convenience computer, a desktop computer, and the like. The electronic device 110 may further be provided with an interactive interface, for example, to obtain a detection parameter for detecting at least one of the incoming call servers 131 to 133 in response to an operation of the electronic device 110 by a user, and generate a detection task based on the detection parameter.
The outgoing call servers 121 to 123 may be, for example, a server based on Session Initiation Protocol (SIP) (for example, Freeswitch), or may be a telephone or a soft phone hung under a user-level switch (Private Branch Exchange) controlled by Computer Telephony Integration (CTI). The outgoing call servers 121-123 are configured to actively initiate a dial test to the incoming call servers 131-133 based on a detection task sent by the electronic device 110.
The incoming call servers 131 to 133 may be, for example, soft switch servers based on SIP and capable of registering extension sets, or Interactive Voice Response (IVR) servers including Voice boards and being suspended under the conventional PXB and controlled by CTI, or agent extension sets. The incoming call servers 131 to 133 can be used as answering devices for providing customer service such as financial institutions and network platform mechanisms, for example, so that when a user dials a customer service hotline through the telephone 140, pre-embedded voice information is broadcasted to the user. It is to be understood that the incoming call device described below is the same device as the incoming call server.
The telephone 140 may be, for example, a communication device having an incoming and outgoing call function, such as a landline telephone, a smart phone, or a smart watch.
According to the embodiment of the disclosure, each incoming call server can be deployed with a plurality of lines, correspondingly, each incoming call server can maintain a number pool corresponding to the plurality of lines, and the outgoing call server can realize signal transmission with the incoming call server by automatically dialing and measuring the numbers in the number pool maintained by each incoming call server. In one embodiment, each of the calling servers may also have multiple lines deployed as calling lines, for example, and accordingly each calling server maintains a pool of numbers corresponding to the multiple lines deployed, the numbers in the pool being used as calling numbers at the time of dial-testing. The detection task referred to in this disclosure is essentially the detection of incoming call servers deploying a line.
According to the embodiment of the present disclosure, the electronic device 110 may further integrate voice recording and voice conversion functions, for example, to record voice sent by the incoming call servers 131 to 133 received via the outgoing call servers 121 to 123 and convert the recorded voice by calling a voice recognition interface. The Speech Recognition interface may be, for example, an API interface provided by a third party capable of providing Automatic Speech Recognition (ASR) technology. It is to be understood that the speech recognition interface may be any interface used in the related art and packaged with speech recognition functions, and the disclosure is not limited thereto.
According to an embodiment of the present disclosure, the electronic device 110 may also be communicatively connected with a predetermined memory, for example, to write data into the predetermined memory, read data from the predetermined memory, make changes to data in the predetermined memory, and the like. In this embodiment, the electronic device 110 may, for example, write the recorded voice into the predetermined memory, and periodically read the recorded voice from the predetermined memory, so as to perform offline conversion on the recorded voice, and obtain text information through conversion.
It should be noted that the method for detecting an incoming call device provided by the present disclosure may be performed by the electronic device 110, and accordingly, the apparatus for detecting an incoming call device provided by the present disclosure may be disposed in the electronic device 110.
It is to be understood that the types and numbers of the electronic device, the outgoing call server, the incoming call server, and the telephone of this embodiment are merely illustrative, and any type and data of the electronic device, the outgoing call server, the incoming call server, and the telephone may be provided according to implementation needs.
Fig. 2 schematically shows a flow chart of a method of detecting an incoming call device according to an embodiment of the disclosure.
As shown in fig. 2, the method of detecting an incoming call device of this embodiment may include operations S210 to S250.
In operation S210, based on the acquired detection task, a call is initiated to the to-be-detected incoming call device for which the detection task is directed.
According to the embodiment of the disclosure, the detection task includes a list to be detected, and the list to be detected includes at least one dial test number of the incoming call device to be detected. The operation S210 may call the aforementioned outgoing call server to actively initiate a dial test through a call interface based on the dial test number.
According to the embodiment of the present disclosure, the number of the incoming call devices to be detected for which the detection task is directed may be plural, for example. When the calling-out server is called to actively initiate dialing, the calling-out server can randomly extract numbers with the number equal to the number of the incoming call devices to be detected from a number pool maintained by the calling-out server to serve as calling numbers, and synchronously initiate dialing test on the incoming call devices to be detected, so that batch detection of the incoming call devices to be detected is realized.
According to an embodiment of the present disclosure, the detection task may further include dial testing time information, which may be, for example, an immediate dial test, a timing dial test, and the like. When the time is set, the dial testing time information can also comprise dial testing time, and the dial testing time can be XXXX year-XX month-XX day, XX hour-XX minute-XX second. After the detection task is obtained, the call can be initiated to the incoming call device to be detected according to the dial detection time.
In operation S220, voice information sent by the to-be-detected incoming call device after the call is answered is recorded, so as to obtain the voice information for the to-be-detected incoming call device.
According to an embodiment of the present disclosure, the electronic device 110 may be integrated with a recording function, for example, the outgoing call server may transmit the received voice information to the electronic device in real time through a network, the electronic device calls the recording function to record the voice information, and uses the recorded voice information as the voice information for the incoming call device to be detected.
After the call is initiated through operation S210, the outgoing call server may send a voice signal "query balance" to the incoming call device, for example, after receiving the voice signal, the incoming call server may convert the voice signal into text information, then determine a response text in a pre-embedded text having a mapping relationship with the text information, convert the response text into voice information "please input a card number (or an account number)", and send the voice information to the outgoing call server through the signal base station, where the voice information recorded through operation S220 is "please input a card number (or an account number)".
It is understood that the electronic device itself may be integrated with a recording function, or the electronic device may also record the voice information by calling a recording node, where the recording function is implemented in a manner similar to that in the related art, but may be different according to different underlying technologies of different call centers, and the disclosure is not limited thereto.
In operation S230, the voice information is stored to a predetermined storage space.
In operation S240, voice information is periodically acquired from a predetermined storage space based on a predetermined period, and the acquired voice information is converted into text information.
According to the embodiment of the present disclosure, after the voice information is recorded, the voice information can be timely stored in the predetermined storage space (which may be the aforementioned predetermined storage). And then, when the voice recognition interface is idle, reading the voice information from the preset storage space for conversion, thereby avoiding the influence of completing other voice conversion tasks on the voice recognition interface.
For example, the voice information may be periodically acquired from the predetermined storage space based on a predetermined period. The predetermined period may be, for example, 1 hour, 6 hours, 12 hours, etc., the number of pieces of acquired voice information may be, for example, 10 pieces, 20 pieces, etc., the predetermined period may be set according to the usage of the voice recognition interface, the number of pieces of acquired voice information may be set according to the processing efficiency of the voice recognition interface, the idle time, etc., or the predetermined period and the number of pieces of acquired voice information may be set according to actual requirements, which is not limited by the disclosure.
By way of example, ASR techniques may be employed to effect conversion between speech information and text information.
According to an embodiment of the present disclosure, in order to facilitate management of execution of detection tasks and to facilitate reading of voice information from a predetermined storage space, an electronic device may be provided with a dial test record table, for example, to maintain a dial test record for each detection task. As shown in the following table, the dial testing record table may include a dial testing start time, an end time, a detection task number, a dial testing result, and a storage path of recorded voice information.
When the voice information is periodically acquired from the predetermined storage space, it can be read based on the deposit path of the voice information. It can be understood that, when the detection task is directed to a plurality of incoming call devices to be detected, the recorded voice information directed to the plurality of incoming call devices to be detected may be stored in the same path or in different paths. If the voice information is stored in different paths, the dial testing record table may further include a dial testing number column to associate the dial testing number with the storage path of the voice information, and the like.
In operation S250, the text information is compared with a predetermined text to determine a detection result of the to-be-detected incoming call device to which the acquired voice information is directed based on the comparison result.
According to the embodiment of the disclosure, after the text information is obtained through conversion, the text information can be compared with the preset text, whether the text information includes the character string in the preset text or not is determined, if the text information includes the character string in the preset text, the comparison result is that the text information is matched with the preset text, the detection result of the incoming call device to be detected, to which the obtained voice information is directed, is determined to be that the incoming call device to be detected is normal, and otherwise, the incoming call device to be detected is determined to be abnormal.
For example, the predetermined text may be different according to a dial testing process during the process of initiating a call. For example, after the dial testing process inputs the dial testing number, if the number "1" for inquiring balance is input, the corresponding predetermined text may include "please input a card number or an account number", and if the number "0" for accessing manual service is input, the corresponding predetermined text may include "welcome manual seat service", and the like.
Illustratively, after entering the dialing test number during the dialing test, the entered number may be randomly generated, for example, based on selections provided by the customer service layer menus. Before the call is initiated to the incoming call device to be detected, for example, the number which is input continuously after the dial-test number is input may be determined, and the script corresponding to the number which is input continuously is called, so that the call of the incoming call device to be detected is realized by running the script. At this time, for example, a predetermined text having a mapping relationship with the script in the predetermined text library may be used as the predetermined text to be compared with the text information. It is to be understood that the above described implementations are merely examples to facilitate understanding of the disclosure, and the disclosure is not limited thereto.
In the dialing test process, the voice information is stored into the preset storage space firstly, and then the voice information is obtained from the preset storage space based on the preset period for conversion, so that the calling time of the voice recognition interface can be reduced, the voice recognition interface can be called by different tasks in different time periods, and the utilization rate of the expensive voice recognition interface can be improved.
Fig. 3 schematically shows a schematic diagram of initiating a call to an incoming call device to be detected according to an embodiment of the present disclosure.
According to an embodiment of the present disclosure, the detection task may further include, for example, a detection mode in addition to the list to be detected, and the detection mode may include, for example, at least one of a dual tone multi-frequency signal detection mode and a voice detection mode.
Illustratively, the Dual Tone Multi-Frequency signal detection mode may be implemented by inputting a voice menu through Dual Tone Multi-Frequency (DTMF) keys, for example. The DTMF consists of a high frequency group and a low frequency group, wherein the high frequency group and the low frequency group respectively comprise 4 frequencies, a high frequency signal and a low frequency signal are superposed to form a combined signal which represents a digit, and the DTMF signal is coded by 16 codes. The dual tone multifrequency is a method for expressing numbers by tones in a voice channel, and can be used for transmitting signaling in an analog voice channel so as to realize number input.
For example, the speech detection approach may employ ASR techniques, i.e., playing a pre-stored audio file to simulate a user speaking. The voice detection mode can be used for detecting whether the incoming call device to be detected is normal when the artificial service is used. The pre-stored audio file may be, for example, a.wav file. Accordingly, the embodiment can maintain an audio file library, and call the audio files in the audio file library according to the requirement.
Because the dial testing principle is different when different detection modes are used, different detection scripts can be maintained in advance according to different detection modes in the embodiment. And initiating a call to the incoming call device to be detected by running a detection script matched with the detection mode.
As shown in fig. 3, after the detection task is obtained, a detection script 321 matching the detection method 310 may be obtained from the detection script library 320 according to the detection method 310 included in the detection task. The detection parameters (dial test number) and the detection script 321 in the detection task are then sent to the calling server 330, and the calling server 330 runs the detection script based on the dial test number, so as to initiate a call to the incoming device to be detected.
Illustratively, when the DTMF detection method is adopted, a random number within the menu number item may be generated by a rand function. The matching script is then retrieved from the script library 320 based on the random number. Accordingly, in the script library 320, the script for the DTMF detection mode may include scripts for various key combinations.
For example, when the voice detection method is used, one of a plurality of pre-stored audio files may be randomly selected, then the selected audio file is identified and converted into a service type that can be provided by the customer service, and then a matching script is obtained from the script library 320 according to the service type. Therefore, in the script library 320, the script for the voice detection mode may include a plurality of scripts for different service types.
In order to facilitate obtaining the matched script, the embodiment may maintain a mapping relation table between the detection mode and the script number. For the DTMF detection mode, the mapping relation table also maintains the mapping relation between the menu numbers of each level and the detection script numbers. For the voice detection mode, the mapping relation table also maintains the mapping relation between the audio content in the audio file and the detection script number. For the case of combining the voice detection mode and the DTMF detection mode, the mapping relation table also maintains the mapping relation between the audio content of the voice detection mode and the detection script number. When the matched script is obtained, the number of the detection script can be determined according to the mapping relation table. The matching detection script is then retrieved from the script library 320 based on the detection script number.
According to the embodiment of the disclosure, the hybrid mode can be used in the business logic that the card number and the account number information need to be input to further trigger the code of the deeper business layer. It is to be understood that the usage scenario of the hybrid approach is merely an example to facilitate understanding of the present disclosure, and the present disclosure is not limited thereto.
According to the embodiment of the disclosure, in order to improve the detection efficiency, for example, a matching detection script number may be preset in the detection task. After acquiring the detection task, the embodiment may acquire the detection script from the script library directly based on the detection script number, for example.
FIG. 4 schematically shows a flow chart for generating detection tasks according to an embodiment of the disclosure.
According to the embodiment of the disclosure, when the incoming call device needs to be detected, the user can directly input the detection parameter, and the electronic device automatically generates the detection task according to the detection parameter. The detection parameters may include, for example, identification information, detection time information, detection mode, and the like of the incoming call device to be detected. The identification information of the incoming call device to be detected may be essentially information that uniquely indicates the incoming call device, such as the number of the incoming call device. One detection task can detect multiple incoming call devices, and therefore, the number of identification information in the detection parameters can be multiple.
To perform the detection, a dial test number should be acquired first. As can be appreciated from the foregoing description, there may be one number pool for each incoming device. As shown in fig. 4, when generating the detection task, in this embodiment, operation S410 may be performed first, and in response to acquiring the detection parameter including the identification information of the to-be-detected incoming call device, a number is extracted from the number pool for the to-be-detected incoming call device based on the identification information, and is used as a dial-test number for the to-be-detected incoming call device. Operation S420 is then performed, and a detection task for the incoming call device to be detected is generated based on the detection task template, the dial test number, and the detection parameters. Wherein, when the number is extracted from the number pool, a predetermined number of numbers can be randomly extracted. The predetermined number may also be selected by the user as a detection parameter, for example.
For example, the detection task may be obtained by using the detection parameter and the dial test number as the values of the variables in the detection task template. For example, by substituting the detection parameters into the detection task template, the following detection tasks can be obtained, for example:
< Dial test type > DTMF </Dial test type >
< Dial test script > (Serial number) 1< Dial test script >
< Dial test List >100010, 100023, 100509. </Dial test List >
< Dial measurement time > immediate </Dial measurement time >
FIG. 5 schematically shows a flow diagram for generating detection tasks according to another embodiment of the present disclosure.
According to the embodiment of the present disclosure, the number of the outgoing call servers may be multiple, and when the detection task is generated, for example, the outgoing call server may be allocated to the detection task. As shown in fig. 5, the method of generating the detection task of this embodiment includes operations S530 to S550 in addition to operations S410 to S420 of fig. 4, and operation S420 may be implemented as operation S520. Operation S530 may be performed, for example, concurrently with operation S410, or in any sequential order.
In operation S530, in response to acquiring the detection parameter, a task number is generated based on a predetermined rule. This embodiment may employ a number generator to generate the task number. The number of bits of the task number may be set according to actual requirements, which is not limited in this disclosure.
In operation S540, based on the task number, the number of the soft switch device initiating a call to the to-be-detected incoming call device is determined by using a distributed cluster algorithm.
According to an embodiment of the present disclosure, the distributed cluster algorithm may be, for example, a hash modulo algorithm, and the embodiment may calculate the total number of the task numbers and the outgoing servers by using the hash modulo algorithm. Specifically, a hash value of the task number may be calculated first, and then the hash value is divided by the total number of the outgoing servers to obtain a remainder. And taking the calling server taking the remainder as the number as the soft switch equipment for initiating a call to the to-be-detected calling equipment. The soft switch device is the aforementioned calling server.
According to the embodiment of the disclosure, for example, a consistent hashing algorithm may be further used to determine the number of the soft switch device initiating a call to the incoming call device to be detected, so as to avoid the problems of low fault tolerance and uneven task allocation caused by frequent failure, frequent drop or frequent expansion of the soft switch device.
In operation S550, according to the mapping relationship between the number of the soft switch device and the address of the soft switch device and the mapping relationship between the number of the soft switch device and the call interface of the soft switch device, the call interface and the address corresponding to the number of the soft switch device initiating a call to the incoming device to be detected are determined as the target call interface and the target address.
In operation S520, a detection task for the incoming call device to be detected is generated based on the detection task template, the dial test number, the detection parameter, the target call interface, and the target address.
According to the embodiment of the disclosure, the detection parameters, the dial test number, the target calling interface and the target address can be used as the values of the variables in the detection task template to obtain the detection task. It is understood that, in this process, the detection script number may also be determined by the method described in the foregoing fig. 3 according to the detection mode in the detection parameter, for example. And substituting the detection script number into the detection template as the value of the variable in the detection task template.
Illustratively, after the calling server is determined, a number may be randomly extracted from a number pool corresponding to the calling server, for example, as the calling number. The number of the extracted calling numbers can be determined according to the number of the incoming call devices to be detected for which the detection task is specific, and the number of the extracted calling numbers can be equal to the number of the incoming call devices to be detected. After the calling number is extracted, the calling number can be used as the value of the variable in the detection task template and substituted into the detection template. Or, the number of the calling numbers may be set according to actual requirements, and may be any value such as 1 that is smaller than the number of the devices to be detected.
Illustratively, the detection task obtained by this embodiment can be expressed as follows:
<？xml version＝"1.0″encoding＝"UTF-8″？>
< Dial test type > ASR </Dial test type >
< SIP softswitch > 172.168.1.1: 6051 SIP softswitch
< SIP Soft-switch calling number >800001 >
< Dial test script > (Serial number) 2< Dial test script >
< Dial test List >100010, 100023, 100509. </Dial test List >
< Dial measurement time > immediate </Dial measurement time >
Fig. 6 schematically shows an overall flow chart of a method of detecting an incoming call device according to an embodiment of the present disclosure.
As shown in fig. 6, the method for detecting an incoming call device is performed by involving a SIP softswitch device, a database, an incoming call device, a recording node, and a conversion and comparison node. The SIP soft switch device, the database, the recording node and the conversion comparison node can be integrated in the same electronic device.
In the execution of the method of detecting an incoming call device, the SIP softswitch may perform operation S611 and operation S612 in response to receiving the detection task.
In operation S611, the detection task is received and analyzed, and the dial test number, the dial test time, the dial test script number, and other parameters are read. The script may then be retrieved from the script library according to the dial-up script code.
In operation S612, a call request is initiated to the input device to be detected based on the obtained script and the analyzed parameters.
The incoming call device, upon receiving the call request, may perform operation S621 to answer the call to implement communication with the SIP softswitch device.
In the process of communicating between the incoming call device and the SIP soft switch device, that is, in the call process, the recording node may perform operation S631, record the voice in the call process, and store the voice information in the database after recording the voice.
The conversion alignment node may periodically perform operations S641 through S642. In operation S641, the stored voice information is acquired from the database and converted into text information. In operation S642, the converted text information is compared with a predetermined text to obtain a comparison result. Subsequently, the comparison result may be stored to the database by accessing the database, i.e., the database is caused to perform operation S651, and the comparison result is recorded.
According to the embodiment of the disclosure, when the comparison result indicates that the incoming call device is abnormal, for example, the operation and maintenance personnel may be notified of the comparison result according to a preset contact manner.
According to an embodiment of the present disclosure, the detection task may be generated by a task generator based on the method described in the foregoing fig. 4, for example, and the detection task is distributed to the softswitch device by the random distributor based on the method described in fig. 5, and is modified to the detection task illustrated in the section described for fig. 5. The task generator and the random distributor can be integrated with the SIP soft switch device, the recording node, the conversion comparison node and the database in the same electronic device and are realized as different functional modules in the same electronic device. The SIP soft switch device may be the aforementioned call server, and is not described herein again.
Fig. 7 schematically shows a block diagram of an apparatus for detecting an incoming call device according to an embodiment of the present disclosure.
As shown in fig. 7, the apparatus 700 for detecting an incoming call device of this embodiment includes a call initiating module 710, a voice recording module 720, a voice storing module 730, a voice converting module 740, and an information comparing module 750.
The call initiating module 710 is configured to initiate a call to the to-be-detected incoming call device for which the detection task is directed, based on the obtained detection task. In an embodiment, the call initiation module 710 may be configured to perform the operation S210 described above, which is not described herein again.
The voice recording module 720 is configured to record voice information sent by the to-be-detected incoming call device after the call is answered, so as to obtain voice information for the to-be-detected incoming call device. In an embodiment, the voice recording module 720 may be configured to perform the operation S220 described above, which is not described herein again.
The voice storage module 730 is used for storing the voice information into a predetermined storage space. In an embodiment, the voice storage module 730 may be configured to perform the operation S230 described above, which is not described herein again.
The voice conversion module 740 is configured to periodically acquire voice information from a predetermined storage space based on a predetermined period and convert the acquired voice information into text information. In an embodiment, the voice conversion module 740 may be configured to perform the operation S240 described above, which is not described herein again.
The information comparison module 750 is configured to compare the text information with a predetermined text, so as to determine, based on the comparison result, a detection result of the to-be-detected incoming call device to which the obtained voice information is directed. In an embodiment, the information comparing module 750 may be configured to perform the operation S250 described above, which is not described herein again.
According to the embodiment of the disclosure, the detection task comprises a list to be detected and a detection mode, wherein the list to be detected comprises at least one dial test number of the incoming call equipment to be detected; the call initiation module 710 includes a script obtaining sub-module and a call sub-module. And the script acquisition submodule is used for acquiring the detection script matched with the detection mode. And the calling sub-module is used for running the detection script based on the dial testing number so as to initiate a call to at least one incoming call device to be detected.
According to an embodiment of the present disclosure, the detection manner includes at least one of: a dual-tone multi-frequency signal detection mode and a text-to-speech detection mode.
According to an embodiment of the present disclosure, the apparatus 700 for detecting an incoming call device further includes a task generating module, configured to generate a detection task, where the task generating module includes a number extracting sub-module and a task generating sub-module. And the number extraction submodule is used for extracting a number from a number pool aiming at the incoming call equipment to be detected as a dial test number of the incoming call equipment to be detected based on the identification information of the incoming call equipment to be detected in response to the detection parameter obtained by the identification information of the incoming call equipment to be detected. And the task generation submodule is used for generating a detection task for the incoming call equipment to be detected based on the detection task template, the dial detection number and the detection parameters.
According to the embodiment of the disclosure, the task generation module further comprises a number generation submodule, a number determination submodule and an address determination submodule. And the number generation submodule is used for responding to the acquired detection parameters and generating the task number based on a preset rule. And the number determining submodule is used for determining the number of the soft switching equipment initiating a call to the incoming equipment to be detected by adopting a distributed cluster algorithm based on the task number. And the address determining submodule is used for determining a calling interface and an address corresponding to the number of the soft switching equipment initiating a call to the incoming equipment to be detected as a target calling interface and a target address according to the mapping relation between the number of the soft switching equipment and the address of the soft switching equipment and the mapping relation between the number of the soft switching equipment and the calling interface of the soft switching equipment. The task generation submodule is specifically used for generating a detection task for the incoming call device to be detected based on the detection task template, the dial detection number, the detection parameters, the target calling interface and the target address.
According to an embodiment of the present disclosure, the distributed clustering algorithm includes a consistent hashing algorithm.
According to the embodiment of the disclosure, the information comparison module comprises a comparison sub-module and an equipment state determination sub-module. The comparison submodule is used for comparing the text information with the preset text and determining whether the text information comprises character strings in the preset text. The device state determining submodule is used for determining that the to-be-detected incoming call device aimed at the acquired voice information is normal under the condition that the text information comprises character strings in a preset text.
According to the embodiment of the present disclosure, any plurality of the call initiation module 710, the voice recording module 720, the voice storage module 730, the voice conversion module 740, the information comparison module 750, and the task generation module may be combined in one module to be implemented, or any one of the modules may be split into a plurality of modules. Alternatively, at least part of the functionality of one or more of these modules may be combined with at least part of the functionality of the other modules and implemented in one module. According to an embodiment of the present disclosure, at least one of the call initiating module 710, the voice recording module 720, the voice storing module 730, the voice converting module 740, the information comparing module 750 and the task generating module may be at least partially implemented as a hardware circuit, such as a Field Programmable Gate Array (FPGA), a Programmable Logic Array (PLA), a system on a chip, a system on a substrate, a system on a package, an Application Specific Integrated Circuit (ASIC), or may be implemented by hardware or firmware in any other reasonable manner of integrating or packaging a circuit, or implemented by any one of three implementation manners of software, hardware and firmware, or by a suitable combination of any several of them. Alternatively, at least one of the call origination module 710, the voice recording module 720, the voice storage module 730, the voice conversion module 740, the information comparison module 750, and the task generation module may be at least partially implemented as a computer program module, which when executed, may perform a corresponding function.
Fig. 8 schematically shows a block diagram of an electronic device adapted to implement a method of detecting an incoming device according to an embodiment of the present disclosure.
As shown in fig. 8, an electronic device 800 according to an embodiment of the present disclosure includes a processor 801 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)802 or a program loaded from a storage section 808 into a Random Access Memory (RAM) 803. The processor 801 may include, for example, a general purpose microprocessor (e.g., CPU), an instruction set processor and/or associated chipset, and/or a special purpose microprocessor (e.g., Application Specific Integrated Circuit (ASIC)), among others. The processor 801 may also include onboard memory for caching purposes. The processor 801 may include a single processing unit or multiple processing units for performing different actions of the method flows according to embodiments of the present disclosure.
In the RAM 803, various programs and data necessary for the operation of the electronic apparatus 800 are stored. The processor 801, the ROM 802, and the RAM 803 are connected to each other by a bus 804. The processor 801 performs various operations of the method flows according to the embodiments of the present disclosure by executing programs in the ROM 802 and/or RAM 803. Note that the programs may also be stored in one or more memories other than the ROM 802 and RAM 803. The processor 801 may also perform various operations of method flows according to embodiments of the present disclosure by executing programs stored in the one or more memories.
The present disclosure also provides a computer-readable storage medium, which may be contained in the apparatus/device/system described in the above embodiments; or may exist separately and not be assembled into the device/apparatus/system. The computer-readable storage medium carries one or more programs which, when executed, implement the method according to an embodiment of the disclosure.
According to embodiments of the present disclosure, the computer-readable storage medium may be a non-volatile computer-readable storage medium, which may include, for example but is not limited to: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. For example, according to embodiments of the present disclosure, a computer-readable storage medium may include the ROM 802 and/or RAM 803 described above and/or one or more memories other than the ROM 802 and RAM 803.
Embodiments of the present disclosure also include a computer program product comprising a computer program containing program code for performing the method illustrated in the flow chart. When the computer program product runs in a computer system, the program code is used for causing the computer system to realize the item recommendation method provided by the embodiment of the disclosure.
The computer program performs the above-described functions defined in the system/apparatus of the embodiments of the present disclosure when executed by the processor 801. The systems, apparatuses, modules, units, etc. described above may be implemented by computer program modules according to embodiments of the present disclosure.
In one embodiment, the computer program may be hosted on a tangible storage medium such as an optical storage device, a magnetic storage device, or the like. In another embodiment, the computer program may also be transmitted in the form of a signal on a network medium, distributed, downloaded and installed via communication section 809, and/or installed from removable media 811. The computer program containing program code may be transmitted using any suitable network medium, including but not limited to: wireless, wired, etc., or any suitable combination of the foregoing.
In such an embodiment, the computer program can be downloaded and installed from a network through the communication section 809 and/or installed from the removable medium 811. The computer program, when executed by the processor 801, performs the above-described functions defined in the system of the embodiments of the present disclosure. The systems, devices, apparatuses, modules, units, etc. described above may be implemented by computer program modules according to embodiments of the present disclosure.
In accordance with embodiments of the present disclosure, program code for executing computer programs provided by embodiments of the present disclosure may be written in any combination of one or more programming languages, and in particular, these computer programs may be implemented using high level procedural and/or object oriented programming languages, and/or assembly/machine languages. The programming language includes, but is not limited to, programming languages such as Java, C + +, python, the "C" language, or the like. The program code may execute entirely on the user computing device, partly on the user device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., through the internet using an internet service provider).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
Those skilled in the art will appreciate that various combinations and/or combinations of features recited in the various embodiments and/or claims of the present disclosure can be made, even if such combinations or combinations are not expressly recited in the present disclosure. In particular, various combinations and/or combinations of the features recited in the various embodiments and/or claims of the present disclosure may be made without departing from the spirit or teaching of the present disclosure. All such combinations and/or associations are within the scope of the present disclosure.
The embodiments of the present disclosure have been described above. However, these examples are for illustrative purposes only and are not intended to limit the scope of the present disclosure. Although the embodiments are described separately above, this does not mean that the measures in the embodiments cannot be used in advantageous combination. The scope of the disclosure is defined by the appended claims and equivalents thereof. Various alternatives and modifications can be devised by those skilled in the art without departing from the scope of the present disclosure, and such alternatives and modifications are intended to be within the scope of the present disclosure.
Claims (11)
1. A method of detecting an incoming device, comprising:
based on the acquired detection task, initiating a call to the incoming call device to be detected, which is aimed at by the detection task;
recording voice information sent by the incoming call equipment to be detected after a call is answered, and obtaining the voice information aiming at the incoming call equipment to be detected;
storing the voice information to a preset storage space;
periodically acquiring voice information from the predetermined storage space based on a predetermined period, and converting the acquired voice information into text information; and
and comparing the text information with a preset text to determine a detection result of the to-be-detected incoming call equipment to which the acquired voice information aims based on the comparison result.
2. The method according to claim 1, wherein the detection task comprises a list to be detected and a detection mode, wherein the list to be detected comprises a dial test number of at least one incoming call device; initiating a call to the incoming call device to be detected for which the detection task is directed comprises:
acquiring a detection script matched with the detection mode; and
running the detection script based on the dial-test number to initiate a call to the at least one incoming call device.
3. The method of claim 2, wherein the detection mode comprises at least one of: a dual tone multi-frequency signal detection mode and a voice detection mode.
4. The method of claim 1, further comprising generating a detection task comprising:
in response to the detection parameters including the identification information of the incoming call device to be detected, extracting a number from a number pool aiming at the incoming call device to be detected based on the identification information, and using the number as a dial test number of the incoming call device to be detected; and
and generating a detection task aiming at the incoming call equipment to be detected based on a detection task template, the dial detection number and the detection parameters.
5. The method of claim 4, wherein the generating a detection task further comprises:
generating a task number based on a preset rule in response to the detection parameter being acquired;
determining the number of the soft switch equipment initiating the call to the incoming call equipment to be detected by adopting a distributed cluster algorithm based on the task number;
determining a calling interface and an address corresponding to the number of the soft switch equipment initiating a call to the incoming equipment to be detected as a target calling interface and a target address according to the mapping relation between the number of the soft switch equipment and the address of the soft switch equipment and the mapping relation between the number of the soft switch equipment and the calling interface of the soft switch equipment; and
and generating a detection task aiming at the incoming call equipment to be detected based on a detection task template, the dial detection number, the detection parameters, the target calling interface and the target address.
6. The method of claim 5, wherein the distributed clustering algorithm comprises a consistent hashing algorithm.
7. The method of claim 1, wherein comparing the textual information to a predetermined text comprises:
comparing the text information with the preset text to determine whether the text information comprises character strings in the preset text; and
and under the condition that the text information comprises the character strings in the preset text, determining that the to-be-detected incoming call equipment to which the acquired voice information aims is normal.
8. An apparatus for detecting an incoming device, comprising:
the call initiating module is used for initiating a call to the incoming call device to be detected, which is aimed at by the detection task, based on the acquired detection task;
the voice recording module is used for recording voice information sent by the incoming call equipment to be detected after a call is answered, and obtaining the voice information aiming at the incoming call equipment to be detected;
the voice storage module is used for storing the voice information to a preset storage space;
the voice conversion module is used for periodically acquiring voice information from the preset storage space based on a preset period and converting the acquired voice information into text information; and
and the information comparison module is used for comparing the text information with a preset text so as to determine the detection result of the to-be-detected incoming call equipment aimed at by the acquired voice information based on the comparison result.
9. An electronic device, comprising:
one or more processors;
a storage device for storing one or more programs,
wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to perform the method of any of claims 1-7.
10. A computer readable storage medium having stored thereon executable instructions which, when executed by a processor, cause the processor to perform the method of any one of claims 1 to 7.
11. A computer program product comprising a computer program which, when executed by a processor, implements a method according to any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110380055.XA CN113099044B (en) | 2021-04-08 | 2021-04-08 | Method, apparatus, device and medium for detecting incoming call device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110380055.XA CN113099044B (en) | 2021-04-08 | 2021-04-08 | Method, apparatus, device and medium for detecting incoming call device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113099044A true CN113099044A (en) | 2021-07-09 |
| CN113099044B CN113099044B (en) | 2022-11-18 |
Family
ID=76675253
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110380055.XA Active CN113099044B (en) | 2021-04-08 | 2021-04-08 | Method, apparatus, device and medium for detecting incoming call device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113099044B (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20180332165A1 (en) * | 2017-05-08 | 2018-11-15 | Red Box Recorders Limited | Methods, apparatuses, computer program products and systems for comprehensive and unified call center monitoring |
| CN108848276A (en) * | 2018-07-30 | 2018-11-20 | 携程旅游信息技术（上海）有限公司 | Telephone number method for detecting availability, system, equipment and storage medium |
| CN109495655A (en) * | 2018-11-14 | 2019-03-19 | 平安科技（深圳）有限公司 | Call center attends a banquet line testing process and device, electronic equipment, storage medium |
| CN109587349A (en) * | 2018-11-14 | 2019-04-05 | 平安科技（深圳）有限公司 | Multimedia is attended a banquet line testing process and device, electronic equipment, storage medium |
| CN109600521A (en) * | 2018-11-14 | 2019-04-09 | 平安科技（深圳）有限公司 | Call center's outgoing call test method and device, electronic equipment, storage medium |
| CN110830661A (en) * | 2019-11-11 | 2020-02-21 | 科大国创软件股份有限公司 | Automatic dial testing method for intelligent voice customer service |
| CN111798833A (en) * | 2019-04-04 | 2020-10-20 | 北京京东尚科信息技术有限公司 | Voice test method, device, equipment and storage medium |
-
2021
- 2021-04-08 CN CN202110380055.XA patent/CN113099044B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20180332165A1 (en) * | 2017-05-08 | 2018-11-15 | Red Box Recorders Limited | Methods, apparatuses, computer program products and systems for comprehensive and unified call center monitoring |
| CN108848276A (en) * | 2018-07-30 | 2018-11-20 | 携程旅游信息技术（上海）有限公司 | Telephone number method for detecting availability, system, equipment and storage medium |
| CN109495655A (en) * | 2018-11-14 | 2019-03-19 | 平安科技（深圳）有限公司 | Call center attends a banquet line testing process and device, electronic equipment, storage medium |
| CN109587349A (en) * | 2018-11-14 | 2019-04-05 | 平安科技（深圳）有限公司 | Multimedia is attended a banquet line testing process and device, electronic equipment, storage medium |
| CN109600521A (en) * | 2018-11-14 | 2019-04-09 | 平安科技（深圳）有限公司 | Call center's outgoing call test method and device, electronic equipment, storage medium |
| CN111798833A (en) * | 2019-04-04 | 2020-10-20 | 北京京东尚科信息技术有限公司 | Voice test method, device, equipment and storage medium |
| CN110830661A (en) * | 2019-11-11 | 2020-02-21 | 科大国创软件股份有限公司 | Automatic dial testing method for intelligent voice customer service |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113099044B (en) | 2022-11-18 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11979518B2 (en) | Handling calls on a shared speech-enabled device | |
| US10182155B2 (en) | Directing care calls using historical call backs, demographics and real time attributes | |
| US10530850B2 (en) | Dynamic call control | |
| US9542074B2 (en) | Method and apparatus for enhancing an interactive voice response (IVR) system | |
| US8374317B2 (en) | Interactive voice response (IVR) system call interruption handling | |
| US11762629B2 (en) | System and method for providing a response to a user query using a visual assistant | |
| KR20170099854A (en) | Collaborative phone reputation system | |
| US20210389924A1 (en) | Extracting and Redacting Sensitive Information from Audio | |
| CN109495655B (en) | Call center agent line testing method and device, electronic equipment and storage medium | |
| US9088655B2 (en) | Automated response system | |
| US20160119476A1 (en) | Personalizing communications services using environmental data | |
| CN111507698A (en) | Processing method and device for transferring accounts, computing equipment and medium | |
| CN114401252B (en) | Calling method of telephone traffic system and telephone traffic system | |
| US10142471B2 (en) | System and method for call progress detection | |
| CN109218249B (en) | Method and device for detecting call state | |
| CN113099044B (en) | Method, apparatus, device and medium for detecting incoming call device | |
| US10540966B2 (en) | System and method for parameterization of speech recognition grammar specification (SRGS) grammars | |
| CN101848282B (en) | Method, device and system for processing quality inspection and quality inspector client | |
| US11302335B2 (en) | System and method for managing an automated voicemail | |
| CA3184152A1 (en) | Cumulative average spectral entropy analysis for tone and speech classification | |
| WO2016123758A1 (en) | Method and device for concealing personal information on calling interface | |
| US20190014214A1 (en) | System and method of ringless voicemail | |
| US11962715B2 (en) | Telephone call information collection and retrieval | |
| de Freitas Filho et al. | Using simulation to predict market behavior for outbound call centers | |
| US11140265B1 (en) | Automatically providing directives to parties to audio calls in real-time while the calls are occurring |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |