CN112235467A - Method and device for distinguishing types of disconnected telephones, electronic equipment and storage medium - Google Patents
Method and device for distinguishing types of disconnected telephones, electronic equipment and storage medium Download PDFInfo
- Publication number
- CN112235467A CN112235467A CN202011073539.1A CN202011073539A CN112235467A CN 112235467 A CN112235467 A CN 112235467A CN 202011073539 A CN202011073539 A CN 202011073539A CN 112235467 A CN112235467 A CN 112235467A
- Authority
- CN
- China
- Prior art keywords
- type
- stage
- call
- audio file
- communication connection
- 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 38
- 238000004891 communication Methods 0.000 claims abstract description 106
- 230000004044 response Effects 0.000 claims abstract description 27
- 238000012545 processing Methods 0.000 claims abstract description 21
- 230000000977 initiatory effect Effects 0.000 claims abstract description 9
- 239000013598 vector Substances 0.000 claims description 24
- 230000001186 cumulative effect Effects 0.000 claims description 8
- 238000004590 computer program Methods 0.000 claims description 5
- 230000002452 interceptive effect Effects 0.000 claims description 4
- 239000000126 substance Substances 0.000 claims description 3
- 238000005516 engineering process Methods 0.000 abstract description 6
- 238000006243 chemical reaction Methods 0.000 description 30
- 238000012549 training Methods 0.000 description 14
- 230000006870 function Effects 0.000 description 9
- 238000004364 calculation method Methods 0.000 description 6
- 238000007726 management method Methods 0.000 description 5
- 230000008859 change Effects 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 230000008569 process Effects 0.000 description 3
- 238000007619 statistical method Methods 0.000 description 3
- 239000004973 liquid crystal related substance Substances 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 238000001514 detection method Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000004069 differentiation Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000002093 peripheral effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M3/00—Automatic or semi-automatic exchanges
- H04M3/22—Arrangements for supervision, monitoring or testing
-
- 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
- G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
- G10L25/48—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use
- G10L25/51—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M3/00—Automatic or semi-automatic exchanges
- H04M3/22—Arrangements for supervision, monitoring or testing
- H04M3/2218—Call detail recording
Landscapes
- Engineering & Computer Science (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 invention relates to a data processing technology, and discloses a method for distinguishing a telephone non-connection type, which comprises the following steps: initiating a communication connection request, and judging the stage of the communication connection request according to the response of a called user end; when the stage of the communication connection request is a calling stage, recording the type of the call which is not connected as a line side fault; when the stage of the communication connection request is an early media stage, acquiring an audio file of the early media stage, and analyzing the audio file to obtain a corresponding telephone non-connection type; and when the stage of the communication connection request is a connection stage, acquiring call voice, and analyzing the call voice to obtain a corresponding call non-connection type. The invention also relates to a blockchain technique, wherein the telephone off type can be stored in the blockchain. The invention also discloses a distinguishing and processing device, electronic equipment and a storage medium for the type of the phone unlink. The invention can improve the accuracy of distinguishing the type of the phone call which is not connected.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a method and a device for distinguishing a telephone non-connection type, electronic equipment and a computer readable storage medium.
Background
With the development of communication technology, more and more enterprises need to execute services by means of outgoing calls, in various outgoing call scenarios, the call is not connected frequently, the reason that each call is not connected is various, and the enterprises need to perform differentiation processing according to various situations of not connecting calls.
When an outbound call is made in an automatic outbound call scene, an outbound call system can only roughly distinguish the reason of the missed call according to the missed call code returned by the interface of the telephone line provider, so the statistical analysis result of the type of the missed call is possibly inaccurate.
Disclosure of Invention
The invention provides a method and a device for distinguishing a call-off type, electronic equipment and a computer-readable storage medium, and aims to accurately distinguish the reason of call-off and improve the accuracy of statistical analysis on various call-off conditions.
In order to achieve the above object, the present invention provides a method for distinguishing a type of a missed call, comprising:
initiating a communication connection request, and judging the stage of the communication connection request according to the response of a called user end;
when the stage of the communication connection request is a calling stage, recording a telephone non-connection type as a line side fault;
when the stage of the communication connection request is an early media stage, acquiring an audio file of the early media stage, and analyzing the audio file to obtain a corresponding type of the call which is not connected;
and when the stage of the communication connection request is a connected stage, acquiring call voice, and analyzing the call voice to obtain a corresponding call non-connection type.
Optionally, the step of determining the communication connection request according to the response of the called user side includes:
judging whether a state code returned by the called user terminal is received;
when receiving the status code returned by the called user terminal, determining the stage of the communication connection request as the calling stage or the early media stage according to the identifier in the received status code;
and when the status code returned by the called user end is not received, determining the stage of the communication connection request as the communication stage.
Optionally, when the stage of the communication connection request is an early media stage, acquiring an audio file of the early media stage, analyzing the audio file, and obtaining a corresponding type of call disconnection, including:
analyzing the state code to obtain the identifier in the state code;
if the identifier is a first identifier, recording the type that the telephone is not connected as unmanned answering;
if the identifier is a second identifier, then
Dynamically planning the audio file to obtain a path accumulated distance; if the accumulated path distance is greater than or equal to a preset distance threshold, recording the type of the call non-connection as that the call connecting party is in a call; if the accumulated path distance is smaller than the preset distance threshold, recording the type of the call which is not put through as the unmanned answering;
if the identifier is a third identifier, then
Judging whether the audio file contains human voice or not; if no voice exists, recording the type of the call which is not connected as the call answering of no person; if the voice exists, the voice is identified to obtain the corresponding characters of the voice; performing text similarity matching processing on the characters and standard dialogues in a preset standard dialogues set to obtain standard similarity; and taking the standard language with the maximum standard similarity as a phone non-connection type, and recording the phone non-connection type as no-answer if the standard similarity is smaller than a preset text threshold value.
Optionally, the dynamically planning the audio file to obtain a path cumulative distance includes:
calculating the position of each frame number of the audio file on a transverse axis in a preset two-dimensional rectangular coordinate system, and calculating the position of each frame number of a preset reference audio file on a longitudinal axis in the preset two-dimensional rectangular coordinate system to form an audio network;
searching a target path in the audio network, and calculating the path accumulated distance of the target path.
Optionally, the target path is a path passing through a plurality of lattice points in the audio network, where the lattice points are frame numbers in the audio file and the reference audio file.
Optionally, the path cumulative distance is:
D[(n,m)]＝d[T(n),R(m)]+min{D(n-1,m),D(n-1,m-1),D(n,m-1)}
wherein D [ (n, m) ] is the accumulated distance of the path, T is the audio file, R is the reference audio file, T (n) is the speech feature vector of the nth frame in the audio file, R (m) is the speech feature vector of the mth frame in the reference audio file, D [ T (n), and R (m) ] represents the distance between T (n) and R (m).
Optionally, when the stage of the communication connection request is a connected stage, acquiring a call voice, analyzing the call voice, and obtaining a type of a call which is not connected includes:
recognizing the call voice to obtain characters corresponding to the call voice;
performing text similarity matching processing on the characters and a preset interactive voice response word to obtain text similarity;
if the text similarity is larger than or equal to a preset threshold value, recording a telephone non-connection type as a machine automatic answering type;
and if the text similarity is smaller than the preset threshold value, recording the type that the telephone is not connected as the type that the called user hangs up.
In order to solve the above problems, the present invention also provides a distinguishing apparatus of a phone non-connection type, the apparatus comprising:
the request stage judging module is used for initiating a communication connection request and judging the stage of the communication connection request according to the response of the called user terminal;
the calling stage judging module is used for recording the type of the call not connected as the fault of the line party when the stage of the communication connection request is the calling stage;
the early media stage judgment module is used for acquiring the audio file of the early media stage when the stage of the communication connection request is the early media stage, and analyzing the audio file to obtain the corresponding type of the call which is not connected;
and the communication connection stage judgment module is used for acquiring call voice and analyzing the call voice to obtain a corresponding call non-connection type when the stage of the communication connection request is the communication stage.
In order to solve the above problem, the present invention also provides an electronic device, including:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein:
the memory stores instructions executable by the at least one processor to cause the at least one processor to perform the method for distinguishing between types of missed calls described above.
In order to solve the above problem, the present invention further provides a computer-readable storage medium storing a computer program which, when executed by a processor, implements the method for distinguishing a call non-connection type described above.
The embodiment of the invention firstly judges different stages of the communication connection request according to the response of the called user terminal, and further analyzes the audio file or the call voice generated by the communication connection request in the early media stage and the connection stage to obtain the specific type of the call which is not connected, thereby further improving the accuracy of the statistical analysis result of the specific reason of the call which is not connected.
Drawings
Fig. 1 is a flowchart illustrating a method for distinguishing a type of a missed call according to an embodiment of the present invention;
FIG. 2 is a block diagram illustrating a method for distinguishing a type of a missed call according to an embodiment of the present invention;
fig. 3 is a schematic internal structural diagram of an electronic device for implementing a method for distinguishing a type of a phone miss according to an embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The execution subject of the distinguishing method for the phone non-connection type provided by the embodiment of the present application includes, but is not limited to, at least one of electronic devices such as a server and a terminal that can be configured to execute the method provided by the embodiment of the present application. In other words, the method for distinguishing the type of the phone off may be performed by software or hardware installed in the terminal device or the server device, and the software may be a block chain platform. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, and the like.
Referring to fig. 1, a flowchart of a method for distinguishing a type of a missed call according to an embodiment of the present invention is shown. In this embodiment, the method for distinguishing the type of the missed call includes:
s1, initiating a communication connection request, and judging the stage of the communication connection request according to the response of the called user terminal.
In the embodiment of the present invention, the communication connection request may be a telephone request, and the calling party generates the communication connection request by initiating an INVITE message to the called party.
Further, the communication connection request may generate two states including a communication unconnected state and a communication connected state. The communication unconnected state means that the called user does not answer the call, and at the moment, the state code is replied to the calling party. Further, the unconnected state of communication includes a call phase and an early media phase. Wherein, the call phase means that the communication connection request has not yet arrived at the called user, and the early media phase means that the communication connection request has already arrived at the called user, but the called user has not yet answered, and is in a situation of temporary response at this time. Where the temporary answer includes, but is not limited to, ringing, call forward, color ring, etc.
The communication connection state, i.e. the connection stage, means that the called party answers the call, and at the moment, the call channel between the calling party and the called party is connected.
Preferably, the step of determining the communication connection request according to the response of the called user end includes:
judging whether a state code returned by the called user terminal is received;
when receiving the status code returned by the called user terminal, determining the stage of the communication connection request as the calling stage or the early media stage according to the identifier in the received status code;
and when the status code returned by the called user end is not received, determining the stage of the communication connection request as the communication stage.
Wherein the status code is a 3-digit numeric code describing a classification of reasons why the phone is not switched on, typically including identifiers in both 18X and 4XX forms. Wherein the communication connection request is determined to be in a call phase when the identifier in the received status code is 4XX, and the communication connection request is determined to be in an early media phase (early media) when the identifier in the received status code is 18X.
And S2, when the phase of the communication connection request is a calling phase, recording the telephone non-connection type as a line side fault.
As described above, when the identifier in the received status code is 4XX, it is determined that the communication connection request is in the call phase. Wherein the first digit "4" of the status code 4XX is used to indicate the corresponding type, the latter two digits represent the specific response type, and the range of "4 XX" includes "400-" 499 ". 4XX indicates that the request has failed, that the request message contains syntax error information or that the server is unable to complete the client request. Therefore, when the recognized status code is 4XX, the type of the call disconnection is determined as the line side fault type.
And S3, when the stage of the communication connection request is an early media stage, acquiring the audio file of the early media stage, and analyzing the audio file to obtain the corresponding type of the call disconnection.
As described above, when the identifier in the received status code is 18X, it is determined that the communication connection request is in the early media stage. Wherein "X" in the status code 18X may generally be any value from 0 to 9.
In detail, the S3 includes:
step A: analyzing the state code to obtain the identifier in the state code;
and B: if the identifier is a first identifier, recording the type that the telephone is not connected as unmanned answering;
in one embodiment of the present invention, the first identifier includes 18X, where X is not 0 and not 3, such as 181, 182, etc.
And C: if the identifier is a second identifier, further executing the following steps:
step c 1: dynamically planning the audio file to obtain a path accumulated distance;
step c 2: if the accumulated path distance is greater than or equal to a preset distance threshold, recording the type of the call non-connection as that the call connecting party is in a call;
step c 3: if the accumulated path distance is smaller than the preset distance threshold, recording the type of the call which is not put through as the unmanned answering;
in one embodiment of the present invention, the second identifier is 180, the sound heard at this time is a ringback tone, and the early media represented in the form of the ringback tone is recorded as the audio file.
In detail, the dynamically planning the audio file includes:
calculating the position of each frame number N-1-N of the audio file on a horizontal axis in a preset two-dimensional rectangular coordinate system, and the position of each frame number M-1-M of a preset reference audio file on a vertical axis in the preset two-dimensional rectangular coordinate system, and drawing some longitudinal and horizontal lines through integer coordinates representing the frame numbers, thereby forming an audio network;
searching a target path in the audio network, and calculating the path accumulated distance of the target path.
The frame number refers to a time sequence label of an audio frame in an audio file, the preset reference audio file refers to a preset standard audio file N which represents the maximum value of each frame number of the audio file, and M represents the maximum value of each frame number of the reference audio file.
Specifically, the target path is a path passing through a plurality of lattice points in the audio network, and the lattice points are frame numbers in the audio file and the reference audio file. The path is not randomly selected, the pronunciation speed of the voice in any audio file is possible to change, but the sequence of each part of the voice is impossible to change, so that the selected path is started from the lower left corner of a preset two-dimensional rectangular coordinate system and ended at the upper right corner.
In detail, it is assumed that all the lattice points passed by the path are (N1, M1), … …, (ni, mj), … …, (nN, mM) in sequence, where (N1, M1) ═ 1, (nN, mM) ═ N, M.
Preferably, in order to avoid excessive inclination of the path, the slope of the path may be constrained to be in the range of 0.5-2. For example, if a path has passed through a grid point (n, m), then the next passing grid point (nN, mM) may be one of the following three cases:
(nN，mM)＝(n+1，m)
(nN，mM)＝(n+1，m+1)
(nN，mM)＝(n，m+1)
the cumulative distance of this path is then:
D[(n,m)]＝d[T(n),R(m)]+min{D(n-1,m),D(n-1,m-1),D(n,m-1)}
wherein D [ (n, m) ] is the accumulated distance of the path, T is the audio file, R is the reference audio file, T (n) is the speech feature vector of the nth frame in the audio file, R (m) is the speech feature vector of the mth frame in the reference audio file, D [ T (n), and R (m) ] represents the distance between T (n) and R (m).
In the embodiment of the present invention, the calculated cumulative distance D [ (n, m) ] of the path is compared with a preset second threshold, if D [ (n, m) ] is greater than or equal to the preset second threshold, it is determined that the calling party is in a call type, and if D [ (n, m) ] is less than the preset second threshold, it is determined that no one is in the call type.
And dynamically planning the audio file to solve the problem of matching of different voice lengths in the audio file, and accurately calculating the accumulated path distance without extra calculation.
Step D: if the identifier is a third identifier, further executing the following steps:
step d 1: judging whether the audio file contains human voice or not;
step d 2: if no voice exists, recording the type of the call which is not connected as the call answering of no person;
step d 3: if the voice exists, performing ASR (Automatic Speech Recognition) Recognition processing on the voice to obtain a character corresponding to the voice;
step c 4: performing text similarity matching processing on the corresponding characters and standard dialogues in the standard dialogues set to obtain standard similarity;
step c 5: and taking the standard language with the maximum standard similarity as a phone non-connection type, and recording the phone non-connection type as no-answer if the standard similarity is smaller than a preset text threshold value.
In one embodiment of the present invention, the third identifier is 183, at this time, music or a color ring is played, and the played music or the color ring is named as the audio file.
The embodiment of the invention judges whether the audio file contains the voice or not by carrying out frequency identification on the audio file. In detail, the embodiment of the invention identifies whether the voice frequency (the frequency is 65Hz-1500Hz) exists in the audio file, and if the voice frequency is not identified, the type of the call non-connection is recorded as the no-answer. If the voice frequency is identified, the voice is considered to exist, and the voice information in the audio file is converted;
in detail, the converting the voice information in the audio file includes:
constructing a text information conversion model, and training the text information conversion model;
and converting the voice information into text information by using the trained text information conversion model.
Optionally, the constructing a text information conversion model and training the text information conversion model include:
step I: randomly generating a training voice conversation set and standard character information corresponding to the training voice conversation set;
step II: converting the training voice conversation set by using a character information conversion model to obtain converted character information;
step III: comparing and judging the converted character information and the standard character information to obtain the difference between the converted character information and the standard character information;
step IV: when the difference between the converted text information and the standard text information is larger than a preset threshold value, adjusting parameters of the text information conversion model and returning to the step II to continue to perform text information conversion;
step V: and when the difference between the converted text information and the standard text information is less than or equal to the preset threshold value, finishing the training and generating a trained text information conversion model.
Further, a loss function preset as follows is utilized
Calculating a difference between the converted text information and the standard text information:
wherein the content of the first and second substances,
representing the converted text information, Y representing the standard text information,
it is shown that the difference operation is performed,
representing a difference between the converted text information and the standard text information.
Further, when the loss function
When the loss is larger than or equal to a preset loss threshold value, the converted text information is different from the standard text information, and the conversion of the text information is executed again after the parameters of the text information conversion model are adjusted;
when the loss function
And when the loss is smaller than the loss threshold, the converted text information and the standard text information are not different, the training is finished, and a trained text information conversion model is generated.
Specifically, the trained text information conversion model is used for converting the voice information in the audio file into text information.
And the trained character information conversion model is used for converting the voice information in the audio file into character information, so that the conversion efficiency is improved.
Further, performing text similarity matching on the text information and standard dialogues in a standard dialogues set, calculating the standard similarity of the text information and the standard dialogues in the standard dialogues set, arranging the standard similarity, and judging the type of the disconnected telephone, including:
converting the text information and the standard dialogues in the standard dialogues set into corresponding feature vectors;
and calculating the standard similarity of the text information and the standard dialogues in the standard dialogues set by using the corresponding feature vectors.
The standard dialogs in the standard dialogs set include but are not limited to the turning off of a mobile phone, the turning on of the mobile phone is unavailable, a telephone is empty, the mobile phone is in a call, the phone is stopped, no person answers the mobile phone, 0 is not dialed, and the call is limited.
Further, the embodiment of the present invention uses cosine similarity, and calculates the standard similarity of two texts based on the feature vectors of the two texts:
wherein similarity refers to the standard similarity, a is a feature vector of the text information, and B is a feature vector of the standard dialect. And | a | is a characteristic vector value of the text information, | B | is a characteristic vector value of the standard dialect, i is the occurrence frequency of the word at the position in the dictionary in each dimension of the vector, and is 0 if the word does not appear in the text.
And performing similarity matching on the character information and the standard dialogs in the standard dialogs set to obtain standard similarity A, standard similarity B, standard similarity C and the like, arranging the standard similarity A, the standard similarity B and the standard similarity C obtained by calculation from high to low, determining the type of the phone which is not connected according to the standard dialogs with the maximum standard similarity, and recording the type of the phone which is not connected as the type of the phone which is not connected is not answered by a person when the standard similarity A, the standard similarity B and the standard similarity C are all lower than a preset text threshold.
For example, the text information is subjected to similarity matching with the telephone operation which is shut down, can not be connected and the telephone null number to obtain corresponding similarities of 0.6, 0.9 and 0.4, the similarities are arranged, wherein the maximum similarity value is 0.9, the telephone operation can not be connected, and the type that the telephone is not connected is recorded as the telephone operation can not be connected. And if the calculated similarity is 0.4, 0.3 or 0.2, the preset text threshold is 0.5, and the similarity is lower than the preset text threshold, recording the type of the call failure as the unmanned call.
If the calculated standard similarity is larger than or equal to a preset text threshold, taking a standard dialect corresponding to the standard similarity as a phone non-connection type, and if the standard similarity is smaller than the preset text threshold, classifying the phone non-connection type as an unmanned answering type.
The text similarity is calculated by utilizing a cosine similarity calculation formula, so that the accuracy of classification judgment of the types of the missed calls subsequently is improved.
And S4, when the stage of the communication connection request is a connection stage, acquiring call voice, and analyzing the call voice to obtain the type of the call which is not connected.
In the embodiment of the invention, after the telephone is connected, if the seat is not broadcasted in the open field, the telephone is hung up, at the moment, the telephone is in a connection stage, ASR (Automatic Speech Recognition) Recognition processing is carried out on the call Voice to obtain characters corresponding to the call Voice, text similarity matching processing is carried out on the characters and a preset IVR (Interactive Voice Response) technology to obtain text similarity, if the text similarity is greater than or equal to a preset threshold value, the type of the telephone which is not connected is recorded as a machine Automatic Response type, and if the text similarity is less than the preset threshold value, the type of the telephone which is not connected is recorded as a called user hanging up type.
The seat opening time refers to voice information after the call is connected, and the preset IVR call technology comprises but is not limited to a central office, extension dialing and number searching.
Specifically, the ASR recognition processing procedure and the text similarity matching procedure are the same as S32, and are not repeated here, and if the text similarity is greater than or equal to a preset threshold, the type of not connecting a telephone is recorded as the machine automatic answer type, and if the text similarity is less than the preset threshold, the type of not connecting a telephone is recorded as the type of hanging up a called user.
The automatic machine answering type is generated by connecting a voice automatic answering system, when the communication connection request is in a connection stage, the automatic machine answering type automatically responds to a calling user, and at the moment, the automatic voice answering system can send out voice to remind the calling user of needing to dial an extension for automatic answering, needing to call a switchboard and the like, and belongs to one type of the types of the telephone which is not connected; the called user hang-up type is that when the communication connection request is in a connection stage, the called user hangs up the phone within a preset time due to some reason.
Fig. 2 is a schematic block diagram of the distinguishing device for the type of phone disconnection according to the present invention.
The distinguishing means 100 of the phone-off type according to the present invention may be installed in an electronic device. According to the implemented functions, the distinguishing device 100 for the type of the phone miss may include a request phase judging module 101, a call phase judging module 102, an early media phase judging module 103 and a connected phase judging module 104. The module of the present invention, which may also be referred to as a unit, refers to a series of computer program segments that can be executed by a processor of an electronic device and that can perform a fixed function, and that are stored in a memory of the electronic device.
In the present embodiment, the functions regarding the respective modules/units are as follows:
the request stage judgment module 101 is configured to initiate a communication connection request, and judge a stage where the communication connection request is located according to a response of a called user terminal and a response of the called user terminal;
the calling phase judging module 102 is configured to record a call non-connection type as a line party fault when the phase of the communication connection request is a calling phase;
the early media stage determining module 103 is configured to, when the communication connection request is in an early media stage, obtain an audio file in the early media stage, and obtain a corresponding type of call disconnection by analyzing the audio file;
the connected phase determining module 104 is configured to, when the phase of the communication connection request is a connected phase, obtain a call voice, and obtain a corresponding type of call disconnection by analyzing the call voice.
In detail, the device 100 for distinguishing a non-call-on type realizes the following method for distinguishing a non-call-on type through the above modules:
step one, the request phase judgment module 101 initiates a communication connection request, and judges the phase of the communication connection request according to the response of the called user end and the response of the called user end.
In the embodiment of the present invention, the communication connection request may be a telephone request, and the calling party generates the communication connection request by initiating an INVITE message to the called party.
Further, the communication connection request may generate two states including a communication unconnected state and a communication connected state. The communication unconnected state means that the called user does not answer the call, and at the moment, the state code is replied to the calling party. Further, the unconnected state of communication includes a call phase and an early media phase. Wherein, the call phase means that the communication connection request has not yet arrived at the called user, and the early media phase means that the communication connection request has already arrived at the called user, but the called user has not yet answered, and is in a situation of temporary response at this time. Where the temporary answer includes, but is not limited to, ringing, call forward, color ring, etc.
The communication connection state, i.e. the connection stage, means that the called party answers the call, and at the moment, the call channel between the calling party and the called party is connected.
Preferably, the request phase determining module 101 determines the phase of the communication connection request according to the response of the called user by the following method, including:
judging whether a state code returned by the called user terminal is received;
when receiving the status code returned by the called user terminal, determining the stage of the communication connection request as the calling stage or the early media stage according to the identifier in the received status code;
and when the status code returned by the called user end is not received, determining the stage of the communication connection request as the communication stage.
Wherein the status code is a 3-digit numeric code describing a classification of reasons why the phone is not switched on, typically including identifiers in both 18X and 4XX forms. Wherein the communication connection request is determined to be in a call phase when the identifier in the received status code is 4XX, and the communication connection request is determined to be in an early media phase (early media) when the identifier in the received status code is 18X.
Step two, when the phase of the communication connection request is a calling phase, the calling phase judging module 102 records the type of the telephone non-connection as a line party fault.
As described above, when the identifier in the received status code is 4XX, it is determined that the communication connection request is in the call phase. Wherein the first digit "4" of the status code 4XX is used to indicate the corresponding type, the latter two digits represent the specific response type, and the range of "4 XX" includes "400-" 499 ". 4XX indicates that the request has failed, that the request message contains syntax error information or that the server is unable to complete the client request. Therefore, when the identified status code is 4XX, the calling phase determination module 102 determines that the call non-connection type is the line party fault type.
And step three, when the stage of the communication connection request is an early media stage, the early media stage judgment module 103 acquires an audio file of the early media stage, analyzes the audio file, and obtains a corresponding type of the call which is not connected.
As described above, when the identifier in the received status code is 18X, it is determined that the communication connection request is in the early media stage. Wherein "X" in the status code 18X may generally be any value from 0 to 9.
In detail, the early media stage determining module 103 obtains the corresponding phone non-connection type by the following method:
step A: analyzing the state code to obtain an identifier in the state code;
and B: and if the identifier is a first identifier, recording the type of the call not connected as no-one answering.
In one embodiment of the present invention, the first identifier includes 18X, where X is not 0 and not 3, such as 181, 182, etc.
And C: if the identifier is a second identifier, further executing the following steps:
step c 1: and dynamically planning the audio file to obtain a path accumulated distance:
step c 2: if the accumulated path distance is greater than or equal to a preset distance threshold, recording the type of the call non-connection as that the call connecting party is in a call;
step c 3: and if the accumulated path distance is smaller than the preset distance threshold, recording the type of the call which is not put through as the unmanned call.
In one embodiment of the present invention, the second identifier is 180, the sound heard at this time is a ringback tone, and the early media represented in the form of the ringback tone is recorded as the audio file.
In detail, the dynamically planning the audio file includes:
calculating the position of each frame number N-1-N of the audio file on a horizontal axis in a preset two-dimensional rectangular coordinate system, and the position of each frame number M-1-M of a preset reference audio file on a vertical axis in the preset two-dimensional rectangular coordinate system, and drawing some longitudinal and horizontal lines through integer coordinates representing the frame numbers, thereby forming an audio network;
searching a target path in the audio network, and calculating the path accumulated distance of the target path.
The frame number refers to a time sequence label of an audio frame in an audio file, the preset reference audio file refers to a preset standard audio file N which represents the maximum value of each frame number of the audio file, and M represents the maximum value of each frame number of the reference audio file.
Specifically, the target path is a path passing through a plurality of lattice points in the audio network, and the lattice points are frame numbers in the audio file and the reference audio file. The path is not randomly selected, the pronunciation speed of the voice in any audio file is possible to change, but the sequence of each part of the voice is impossible to change, so that the selected path is started from the lower left corner of a preset two-dimensional rectangular coordinate system and ended at the upper right corner.
In detail, it is assumed that all the lattice points passed by the path are (N1, M1), … …, (ni, mj), … …, (nN, mM) in sequence, where (N1, M1) ═ 1, (nN, mM) ═ N, M.
Preferably, in order to avoid excessive inclination of the path, the slope of the path may be constrained to be in the range of 0.5-2. For example, if a path has passed through a grid point (n, m), then the next passing grid point (nN, mM) may be one of the following three cases:
(nN，mM)＝(n+1，m)
(nN，mM)＝(n+1，m+1)
(nN，mM)＝(n，m+1)
the cumulative distance of this path is then:
D[(n,m)]＝d[T(n),R(m)]+min{D(n-1,m),D(n-1,m-1),D(n,m-1)}
wherein D [ (n, m) ] is the accumulated distance of the path, T is the audio file, R is the reference audio file, T (n) is the speech feature vector of the nth frame in the audio file, R (m) is the speech feature vector of the mth frame in the reference audio file, D [ T (n), and R (m) ] represents the distance between T (n) and R (m).
In the embodiment of the present invention, the calculated cumulative distance D [ (n, m) ] of the path is compared with a preset second threshold, if D [ (n, m) ] is greater than or equal to the preset second threshold, it is determined that the calling party is in a call type, and if D [ (n, m) ] is less than the preset second threshold, it is determined that no one is in the call type.
And dynamically planning the audio file to solve the problem of matching of different voice lengths in the audio file, and accurately calculating the accumulated path distance without extra calculation.
Step D: if the identifier is a third identifier, further executing the following steps:
step d 1: judging whether the audio file contains human voice or not;
step d 2: if no voice exists, recording the type of the call which is not connected as the call answering of no person;
step d 3: if the voice exists, performing ASR (Automatic Speech Recognition) Recognition processing on the voice to obtain a character corresponding to the voice;
step d 4: performing text similarity matching processing on the corresponding characters and standard dialogues in the standard dialogues set to obtain standard similarity;
step d 5: and taking the standard language with the maximum standard similarity as a phone non-connection type, and recording the phone non-connection type as no-answer if the standard similarity is smaller than a preset text threshold value.
In one embodiment of the present invention, the third identifier is 183, at this time, music or a color ring is played, and the played music or the color ring is named as the audio file.
The embodiment of the invention judges whether the audio file contains the voice or not by carrying out frequency identification on the audio file. In detail, the embodiment of the invention identifies whether the voice frequency (the frequency is 65Hz-1500Hz) exists in the audio file, and if the voice frequency is not identified, the type of the call non-connection is recorded as the no-answer. If the voice frequency is identified, the voice is considered to exist, and the voice information in the audio file is converted;
in detail, the converting the voice information in the audio file includes:
constructing a text information conversion model, and training the text information conversion model;
and converting the voice information into text information by using the trained text information conversion model.
Optionally, the constructing a text information conversion model and training the text information conversion model include:
step I: randomly generating a training voice conversation set and standard character information corresponding to the training voice conversation set;
step II: converting the training voice conversation set by using a character information conversion model to obtain converted character information;
step III: comparing and judging the converted character information and the standard character information to obtain the difference between the converted character information and the standard character information;
step IV: when the difference between the converted text information and the standard text information is larger than a preset threshold value, adjusting parameters of the text information conversion model and returning to the step II to continue to perform text information conversion;
step V: and when the difference between the converted text information and the standard text information is less than or equal to the preset threshold value, finishing the training and generating a trained text information conversion model.
Further, a loss function preset as follows is utilized
Calculating a difference between the converted text information and the standard text information:
wherein the content of the first and second substances,
representing the converted text information, Y representing the standard text information,
it is shown that the difference operation is performed,
representing a difference between the converted text information and the standard text information.
Further, when the loss function
When the loss is larger than or equal to a preset loss threshold value, the converted text information is different from the standard text information, and the conversion of the text information is executed again after the parameters of the text information conversion model are adjusted;
when the loss function
When the loss is smaller than the loss threshold, the converted text information and the standard text information are not different, and the training is finishedAnd generating a trained character information conversion model.
Specifically, the trained text information conversion model is used for converting the voice information in the audio file into text information.
And the trained character information conversion model is used for converting the voice information in the audio file into character information, so that the conversion efficiency is improved.
Further, performing text similarity matching on the text information and standard dialogues in a standard dialogues set, calculating the standard similarity of the text information and the standard dialogues in the standard dialogues set, arranging the standard similarity, and judging the type of the disconnected telephone, including:
converting the text information and the standard dialogues in the standard dialogues set into corresponding feature vectors;
and calculating the standard similarity of the text information and the standard dialogues in the standard dialogues set by using the corresponding feature vectors.
The standard dialogs in the standard dialogs set include but are not limited to the turning off of a mobile phone, the turning on of the mobile phone is unavailable, a telephone is empty, the mobile phone is in a call, the phone is stopped, no person answers the mobile phone, 0 is not dialed, and the call is limited.
Further, the embodiment of the present invention uses cosine similarity, and calculates the standard similarity of two texts based on the feature vectors of the two texts:
wherein similarity refers to the standard similarity, a is a feature vector of the text information, and B is a feature vector of the standard dialect. And | a | is a characteristic vector value of the text information, | B | is a characteristic vector value of the standard dialect, i is the occurrence frequency of the word at the position in the dictionary in each dimension of the vector, and is 0 if the word does not appear in the text.
And performing similarity matching on the character information and the standard dialogs in the standard dialogs set to obtain standard similarity A, standard similarity B, standard similarity C and the like, arranging the standard similarity A, the standard similarity B and the standard similarity C obtained by calculation from high to low, determining the type of the phone which is not connected according to the standard dialogs with the maximum standard similarity, and recording the type of the phone which is not connected as the type of the phone which is not connected is not answered by a person when the standard similarity A, the standard similarity B and the standard similarity C are all lower than a preset text threshold.
For example, the text information is subjected to similarity matching with the telephone operation which is shut down, can not be connected and the telephone null number to obtain corresponding similarities of 0.6, 0.9 and 0.4, the similarities are arranged, wherein the maximum similarity value is 0.9, the telephone operation can not be connected, and the type that the telephone is not connected is recorded as the telephone operation can not be connected. And if the calculated similarity is 0.4, 0.3 or 0.2, the preset text threshold is 0.5, and the similarity is lower than the preset text threshold, recording the type of the call failure as the unmanned call.
If the calculated standard similarity is larger than or equal to a preset text threshold, taking a standard dialect corresponding to the standard similarity as a phone non-connection type, and if the standard similarity is smaller than the preset text threshold, classifying the phone non-connection type as an unmanned answering type.
The text similarity is calculated by utilizing a cosine similarity calculation formula, so that the accuracy of classification judgment of the types of the missed calls subsequently is improved.
And step four, when the stage of the communication connection request is a connected stage, the connected stage judgment module 104 acquires the call voice, and obtains the type of the call which is not connected by analyzing the call voice.
In the embodiment of the present invention, after the telephone is connected, if the seat is not announced when the seat is open, the telephone is hung up, and at this time, the connected stage is in a connected stage, the connected stage determining module 104 performs ASR (Automatic Speech Recognition) Recognition processing on the call Voice to obtain a text corresponding to the call Voice, performs text similarity matching processing on the text and a preset IVR (Interactive Voice Response) technology to obtain a text similarity, records the type of the telephone that is not connected as a machine Automatic Response type if the text similarity is greater than or equal to a preset threshold, and records the type of the telephone that is not connected as a hung up type if the text similarity is less than the preset threshold.
The seat opening time refers to voice information after the call is connected, and the preset IVR call technology comprises but is not limited to a central office, extension dialing and number searching.
Specifically, the ASR recognition processing process and the text similarity matching process are the same as those in step three, and are not repeated here, and if the text similarity is greater than or equal to a preset threshold, the type of not connecting a telephone is recorded as the automatic answering type of the machine, and if the text similarity is less than the preset threshold, the type of not connecting a telephone is recorded as the type of hanging up a called user.
The automatic machine answering type is generated by connecting a voice automatic answering system, when the communication connection request is in a connection stage, the automatic machine answering type automatically responds to a calling user, and at the moment, the automatic voice answering system can send out voice to remind the calling user of needing to dial an extension for automatic answering, needing to call a switchboard and the like, and belongs to one type of the types of the telephone which is not connected; the called user hang-up type is that when the communication connection request is in a connection stage, the called user hangs up the phone within a preset time due to some reason. Fig. 3 is a schematic structural diagram of an electronic device implementing the method for distinguishing the type of a phone miss according to the present invention.
The electronic device 1 may comprise a processor 10, a memory 11 and a bus, and may further comprise a computer program, such as a phone off type distinguishing program 12, stored in the memory 11 and executable on the processor 10.
The memory 11 includes at least one type of readable storage medium, which includes flash memory, removable hard disk, multimedia card, card-type memory (e.g., SD or DX memory, etc.), magnetic memory, magnetic disk, optical disk, etc. The memory 11 may in some embodiments be an internal storage unit of the electronic device 1, such as a removable hard disk of the electronic device 1. The memory 11 may also be an external storage device of the electronic device 1 in other embodiments, such as a plug-in mobile hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, which are provided on the electronic device 1. Further, the memory 11 may also include both an internal storage unit and an external storage device of the electronic device 1. The memory 11 may be used not only to store application software installed in the electronic device 1 and various types of data, such as a code of the telephone off-type distinguishing program 12, etc., but also to temporarily store data that has been output or is to be output.
The processor 10 may be composed of an integrated circuit in some embodiments, for example, a single packaged integrated circuit, or may be composed of a plurality of integrated circuits packaged with the same or different functions, including one or more Central Processing Units (CPUs), microprocessors, digital Processing chips, graphics processors, and combinations of various control chips. The processor 10 is a Control Unit (Control Unit) of the electronic device, connects various components of the whole electronic device by using various interfaces and lines, and executes various functions and processes data of the electronic device 1 by running or executing programs or modules (for example, executing a distinguishing program of a telephone off type, etc.) stored in the memory 11 and calling data stored in the memory 11.
The bus may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. The bus is arranged to enable connection communication between the memory 11 and at least one processor 10 or the like.
Fig. 3 shows only an electronic device with components, and it will be understood by those skilled in the art that the structure shown in fig. 3 does not constitute a limitation of the electronic device 1, and may comprise fewer or more components than those shown, or some components may be combined, or a different arrangement of components.
For example, although not shown, the electronic device 1 may further include a power supply (such as a battery) for supplying power to each component, and preferably, the power supply may be logically connected to the at least one processor 10 through a power management device, so as to implement functions of charge management, discharge management, power consumption management, and the like through the power management device. The power supply may also include any component of one or more dc or ac power sources, recharging devices, power failure detection circuitry, power converters or inverters, power status indicators, and the like. The electronic device 1 may further include various sensors, a bluetooth module, a Wi-Fi module, and the like, which are not described herein again.
Further, the electronic device 1 may further include a network interface, and optionally, the network interface may include a wired interface and/or a wireless interface (such as a WI-FI interface, a bluetooth interface, etc.), which are generally used for establishing a communication connection between the electronic device 1 and other electronic devices.
Optionally, the electronic device 1 may further comprise a user interface, which may be a Display (Display), an input unit (such as a Keyboard), and optionally a standard wired interface, a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch device, or the like. The display, which may also be referred to as a display screen or display unit, is suitable for displaying information processed in the electronic device 1 and for displaying a visualized user interface, among other things.
It is to be understood that the described embodiments are for purposes of illustration only and that the scope of the appended claims is not limited to such structures.
The distinguishing program 12 of the phone non-connection type stored in the memory 11 of the electronic device 1 is a combination of a plurality of instructions, which when executed in the processor 10, can realize:
initiating a communication connection request, and judging the stage of the communication connection request according to the response of the called user end and the response of the called user end;
when the stage of the communication connection request is a calling stage, recording a telephone non-connection type as a line side fault;
when the stage of the communication connection request is an early media stage, acquiring an audio file of the early media stage, and analyzing the audio file to obtain a corresponding type of the call which is not connected;
and when the stage of the communication connection request is a connected stage, acquiring call voice, and analyzing the call voice to obtain a corresponding call non-connection type.
Further, the integrated modules/units of the electronic device 1, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. The computer-readable medium may include: any entity or device capable of carrying said computer program code, recording medium, U-disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM).
Further, the computer usable storage medium may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function, and the like; the storage data area may store data created according to the use of the blockchain node, and the like.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus, device and method can be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is only one logical functional division, and other divisions may be realized in practice.
The modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
In addition, functional modules in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional module.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof.
The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any accompanying claims should not be construed as limiting the claim concerned.
Furthermore, it is obvious that the word "comprising" does not exclude other elements or steps, and the singular does not exclude the plural. A plurality of units or means recited in the system claims may also be implemented by one unit or means in software or hardware. The terms second, etc. are used to denote names, but not any particular order.
Finally, it should be noted that the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting, and although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.
Claims (10)
1. A method for distinguishing a type of a phone disconnection, the method comprising:
initiating a communication connection request, and judging the stage of the communication connection request according to the response of a called user end;
when the stage of the communication connection request is a calling stage, recording a telephone non-connection type as a line side fault;
when the stage of the communication connection request is an early media stage, acquiring an audio file of the early media stage, and analyzing the audio file to obtain a corresponding type of the call which is not connected;
and when the stage of the communication connection request is a connected stage, acquiring call voice, and analyzing the call voice to obtain a corresponding call non-connection type.
2. The method for distinguishing the type of a phone disconnection as claimed in claim 1, wherein the step of determining the communication connection request according to the response of the called subscriber side comprises:
judging whether a state code returned by the called user terminal is received;
when receiving the status code returned by the called user terminal, determining the stage of the communication connection request as the calling stage or the early media stage according to the identifier in the received status code;
and when the status code returned by the called user end is not received, determining the stage of the communication connection request as the communication stage.
3. The method for distinguishing the type of the missed call according to claim 2, wherein when the stage of the communication connection request is an early media stage, acquiring an audio file of the early media stage, analyzing the audio file to obtain a corresponding type of the missed call, comprises:
analyzing the state code to obtain the identifier in the state code;
if the identifier is a first identifier, recording the type that the telephone is not connected as unmanned answering;
if the identifier is a second identifier, dynamically planning the audio file to obtain a path accumulated distance; if the accumulated path distance is greater than or equal to a preset distance threshold, recording the type of the call non-connection as that the call connecting party is in a call; if the accumulated path distance is smaller than the preset distance threshold, recording the type of the call which is not put through as the unmanned answering;
if the identifier is a third identifier, judging whether the audio file contains the voice; if no voice exists, recording the type of the call which is not connected as the call answering of no person; if the voice exists, the voice is identified to obtain the corresponding characters of the voice; performing text similarity matching processing on the characters and standard dialogues in a preset standard dialogues set to obtain standard similarity; and taking the standard language with the maximum standard similarity as a phone non-connection type, and recording the phone non-connection type as no-answer if the standard similarity is smaller than a preset text threshold value.
4. A method for distinguishing the type of a telephone failure according to claim 3, wherein said dynamically planning said audio file to obtain a path cumulative distance comprises:
calculating the position of each frame number of the audio file on a transverse axis in a preset two-dimensional rectangular coordinate system, and calculating the position of each frame number of a preset reference audio file on a longitudinal axis in the preset two-dimensional rectangular coordinate system to form an audio network;
searching a target path in the audio network, and calculating the path accumulated distance of the target path.
5. A method for distinguishing a telephone disconnection type according to claim 4, wherein the target path is a path passing through a plurality of lattice points in the audio network, wherein the lattice points are frame numbers in the audio file and the reference audio file.
6. A method for distinguishing the type of a telephone miss as claimed in claim 4 wherein the path cumulative distance is:
D[(n,m)]＝d[T(n),R(m)]+min{D(n-1,m),D(n-1,m-1),D(n,m-1)}
wherein D [ (n, m) ] is the accumulated distance of the path, T is the audio file, R is the reference audio file, T (n) is the speech feature vector of the nth frame in the audio file, R (m) is the speech feature vector of the mth frame in the reference audio file, D [ T (n), and R (m) ] represents the distance between T (n) and R (m).
7. The method for distinguishing the type of the disconnected phone call according to any one of claims 1 to 6, wherein when the phase of the communication connection request is a connected phase, the method for obtaining the call voice and analyzing the call voice to obtain the type of the disconnected phone call comprises:
recognizing the call voice to obtain characters corresponding to the call voice;
performing text similarity matching processing on the characters and a preset interactive voice response word to obtain text similarity;
if the text similarity is larger than or equal to a preset threshold value, recording a telephone non-connection type as a machine automatic answering type;
and if the text similarity is smaller than the preset threshold value, recording the type that the telephone is not connected as the type that the called user hangs up.
8. An apparatus for distinguishing a type of a phone call lost, the apparatus comprising:
the request stage judging module is used for initiating a communication connection request and judging the stage of the communication connection request according to the response of the called user terminal;
the calling stage judging module is used for recording the type of the call not connected as the fault of the line party when the stage of the communication connection request is the calling stage;
the early media stage judgment module is used for acquiring the audio file of the early media stage when the stage of the communication connection request is the early media stage, and analyzing the audio file to obtain the corresponding type of the call which is not connected;
and the communication connection stage judgment module is used for acquiring call voice and analyzing the call voice to obtain a corresponding call non-connection type when the stage of the communication connection request is the communication stage.
9. An electronic device, characterized in that the electronic device comprises:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform a method of distinguishing between types of phone unavailability as claimed in any of claims 1 to 7.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, implements a method of distinguishing a telephone non-connection type according to any one of claims 1 to 7.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011073539.1A CN112235467B (en) | 2020-10-09 | 2020-10-09 | Method and device for distinguishing types of disconnected telephones, electronic equipment and storage medium |
| PCT/CN2021/122834 WO2022073507A1 (en) | 2020-10-09 | 2021-10-09 | Method, apparatus, electronic device, and storage medium for distinguishing type of non-connected telephone call |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011073539.1A CN112235467B (en) | 2020-10-09 | 2020-10-09 | Method and device for distinguishing types of disconnected telephones, electronic equipment and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112235467A true CN112235467A (en) | 2021-01-15 |
| CN112235467B CN112235467B (en) | 2022-09-02 |
Family
ID=74120103
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011073539.1A Active CN112235467B (en) | 2020-10-09 | 2020-10-09 | Method and device for distinguishing types of disconnected telephones, electronic equipment and storage medium |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN112235467B (en) |
| WO (1) | WO2022073507A1 (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115098323A (en) * | 2022-06-16 | 2022-09-23 | 广州市企德友诚美信息技术开发有限公司 | Signal access method based on big data |
| CN117476011B (en) * | 2023-12-28 | 2024-03-01 | 杭州度言软件有限公司 | Method and system for identifying object to be induced and received based on voice signal |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105959497A (en) * | 2016-06-15 | 2016-09-21 | 阿里巴巴集团控股有限公司 | Communication method and device |
| CN109151220A (en) * | 2018-09-11 | 2019-01-04 | 中国—东盟信息港股份有限公司 | A kind of communication session call failure scene analysis system |
| CN110830417A (en) * | 2018-08-08 | 2020-02-21 | 中兴通讯股份有限公司 | Call result acquisition method, system, IVR equipment and computer readable storage medium |
| CN110995938A (en) * | 2019-12-13 | 2020-04-10 | 上海优扬新媒信息技术有限公司 | Data processing method and device |
| CN111294469A (en) * | 2018-12-07 | 2020-06-16 | 中国移动通信集团陕西有限公司 | Fault analysis method, device and equipment for call connection problem |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6160995A (en) * | 1998-09-22 | 2000-12-12 | Iridium Ip Llc | Method and system for uniform call termination treatment in a global communications network |
| CN106534529B (en) * | 2016-10-31 | 2019-06-21 | 努比亚技术有限公司 | Call suggestion device and method |
| CN109218249B (en) * | 2017-06-29 | 2021-07-13 | 北京京东尚科信息技术有限公司 | Method and device for detecting call state |
| CN109658939B (en) * | 2019-01-26 | 2020-12-01 | 北京灵伴即时智能科技有限公司 | Method for identifying reason of call record non-connection |
-
2020
- 2020-10-09 CN CN202011073539.1A patent/CN112235467B/en active Active
-
2021
- 2021-10-09 WO PCT/CN2021/122834 patent/WO2022073507A1/en active Application Filing
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105959497A (en) * | 2016-06-15 | 2016-09-21 | 阿里巴巴集团控股有限公司 | Communication method and device |
| CN110830417A (en) * | 2018-08-08 | 2020-02-21 | 中兴通讯股份有限公司 | Call result acquisition method, system, IVR equipment and computer readable storage medium |
| CN109151220A (en) * | 2018-09-11 | 2019-01-04 | 中国—东盟信息港股份有限公司 | A kind of communication session call failure scene analysis system |
| CN111294469A (en) * | 2018-12-07 | 2020-06-16 | 中国移动通信集团陕西有限公司 | Fault analysis method, device and equipment for call connection problem |
| CN110995938A (en) * | 2019-12-13 | 2020-04-10 | 上海优扬新媒信息技术有限公司 | Data processing method and device |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112235467B (en) | 2022-09-02 |
| WO2022073507A1 (en) | 2022-04-14 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US9542074B2 (en) | Method and apparatus for enhancing an interactive voice response (IVR) system | |
| CN112235467B (en) | Method and device for distinguishing types of disconnected telephones, electronic equipment and storage medium | |
| US11762629B2 (en) | System and method for providing a response to a user query using a visual assistant | |
| CN103488796B (en) | Based on context the method and mobile terminal inputted | |
| CN105827459B (en) | Method and device for calling maintenance center by intelligent equipment | |
| CN105578439A (en) | Incoming call transfer intelligent answering method and system for call transfer platform | |
| CN104580762B (en) | A kind of method and apparatus that call forwarding is realized according to languages | |
| CN110381221A (en) | Call processing method, device, system, equipment and computer storage medium | |
| US10484538B2 (en) | Computer-implemented method of fowarding calls predictive dialer system and data base | |
| US20150229765A1 (en) | Telephone directory management apparatus, telephone directory management system, and telephone directory management method | |
| CN111147675B (en) | Shunting method and device for cloud call center telephone | |
| CN105827787A (en) | Number marking method and number marking device | |
| CN111601002A (en) | Client number state matching method and device, electronic equipment and storage medium | |
| CN109862198B (en) | Customer incoming call saving method based on voice interaction and related equipment | |
| WO2023090380A1 (en) | Program, information processing system, and information processing method | |
| CN103813034B (en) | A kind of method of business realizing, terminal and service server | |
| JP2016225740A (en) | Speech communication distribution system, call control device and program | |
| CN110708418B (en) | Method and device for identifying attributes of calling party | |
| CN113163059A (en) | IPPBX performance detection method, terminal device and storage medium | |
| CN112217934A (en) | Voice recognition processing method and system in real-time communication system | |
| US20230179702A1 (en) | Telephone call information collection and retrieval | |
| US11212387B1 (en) | Prompt list modification | |
| CN117828045A (en) | Intelligent session response method, device, electronic equipment and storage medium | |
| CN118075397A (en) | Incoming call information identification method, electronic equipment and storage medium | |
| JP2002297646A (en) | System, method, and program for service |
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 |