TR2021018229A2

TR2021018229A2 - A SYSTEM THAT ENABLES DETECTION OF CALLING PERSONS

Info

Publication number: TR2021018229A2
Application number: TR2021/018229A
Authority: TR
Inventors: Sak Kübra
Original assignee: Turkcell Technology Research And Development Co; Turkcell Teknoloji̇ Araştirma Ve Geli̇şti̇rme Anoni̇m Şi̇rketi̇
Priority date: 2021-11-22
Filing date: 2021-11-22
Publication date: 2021-12-21

Abstract

Bu buluş, mevcutta kara listede olup farklı numaralardan her türlü ürün veya hizmet ile ilgili olarak veya acil durumlarda iletişime geçilen çağrı merkezlerini arayarak çağrı merkezini ihtiyacı dışında rahatsız eden kara listedeki kişilerin ses tanıma ve konum bilgisi kullanılarak tespit edilmesini sağlayan bir sistem (1) ile ilgilidir.This invention relates to a system (1) that enables the blacklisted persons who are currently on the black list to call the call centers to be contacted from different numbers regarding all kinds of products or services or in case of emergency, and who disturb the call center unnecessarily, using voice recognition and location information. .

Description

TARIFNAME ÇAGRI ILETEN KISILERIN TESPIT EDILMESINI SAGLAYAN BIR Teknik Alan Bu bulus, mevcutta kara listede Olup farkli numaralardan her türlü ürün veya hizmet ile ilgili olarak veya acil durumlarda iletisime geçilen çagri merkezlerini arayarak çagri merkezini ihtiyaci disinda rahatsiz eden kara listedeki kisilerin ses tanima ve konum bilgisi kullanilarak tespit edilmesini saglayan bir Sistem ile ilgilidir. Önceki Teknik Günümüzde kisilerin ürün veya hizmet satin aldiklari firmalarla gerçeklestirebilecekleri islemleri sesli görüsmelerle gerçeklestirebildikleri veya acil durumlarda taleplerini iletebildikleri çagri merkezleri oldukça yaygin olarak kullanilmaktadir. Özellikle itfaiye, polis veya ambulans gibi acil talepler için çagri merkezlerinin kullaniminda çagri merkezlerine erisim oldukça önemlidir. Ancak farkli bir amaçla ve kötü niyetli olarak çagri merkezlerini arayarak mesgul eden kisiler yüzünden çagri merkezlerine gerçekten ihtiyaç duyan kisilerin hizmet alimi engellenmektedir. DESCRIPTION A CONDITIONER TO IDENTIFY CALLS Technical Area This invention is currently blacklisted for any product or service from different numbers. By calling the call centers that are contacted regarding the issue or in case of emergency. Voice recognition and voice recognition of blacklisted persons who disturb the call center beyond its need. It relates to a System that enables it to be detected using location information. Prior Art Today, people are dealing with companies from which they buy products or services. where they can carry out the transactions they can carry out with voice calls or Call centers where they can convey their requests in cases is used. Especially for urgent requests such as fire, police or ambulance. Access to call centers is very important in the use of call centers. However Calling call centers for a different purpose and maliciously Recruitment of people who really need call centers because of people is blocked.

Teknigin bilinen durumunda daha önceden kötü niyetli olarak çagri merkezini arayarak çagri merkezini mesgul eden kisiler çalisanlar tarafindan kara listeye alinarak iletilen çagrilar göz ardi edilebilmektedir. Ancak daha önce kara listeye alinmis olan kisilerin farkli bir numara veya cihaz ile çagri merkezlerini tekrar arayarak mesgul etmelerinin önüne geçilememektedir. In the state of the art, you have previously maliciously accessed the call center. Persons who call and occupy the call center will be blacklisted by the employees. Calls received and forwarded can be ignored. However, previously blacklisted Re-enter call centers with a different number or device of the already received contacts. It is not possible to prevent them from calling and keeping busy.

Bu sebeple mevcut teknikte bulunan çalismalar ve eksiklikler göz önünde bulunduruldugunda çagri merkezlerini arayan kisilerin ses ve konum verilerinin otomatik olarak daha Önce çagri merkezini gereksiz yere mesgul ettikleri için çagri ilettikleri konum, telefon numarasi ve cihaz bilgileri ile birlikte kara listeye alinan kisilerle karsilastirilarak çagri merkezlerini mesgul etmelerinin önüne geçilmesini saglayan bir sisteme ihtiyaç duyuldugu anlasilmaktadir. For this reason, the studies and deficiencies in the current technique should be taken into consideration. voice and location data of people calling call centers automatically because they previously occupied the call center unnecessarily. blacklisted along with the location, phone number, and device information they transmit. To prevent them from occupying the call centers by comparing them with other people. It is understood that a system that provides

Teknigin bilinen durumunda yer alan CN] 1 1 107227 sayili Çin patent dokümaninda, telefon sesi ve metin bilgisi için bir dolandiricilik/taciz önleme sisteminden bahsedilmektedir. Bulus, yapay zekâ ses tanima, metin bilgisi anahtar kelime tanima, özel telefon üçüncü taraf kimlik dogrulama, telefon numarasi dagitimi ve adres defteri depolama, telefon bilgi günlügü ve benzeri islevleri olan yeni bir dolandiricilik ve taciz önleme teknolojisi tasarlar. Yöntem esas olarak özel alma endüstrisi, özel sifre içerigi, özel arama reddetme istemi tonu, arama erisim kayit istemi ve benzerlerinin islevlerini içerir, Teknolojiye göre sesli aramalar ve metin bilgileri belirlenir, ön dolandiricilik önleme ve taciz önleme islevlerini gerçeklestirmek için siniflandirmaya göre geçis veya kalkan olup olmadigina karar verilir, özel numaralar için üçüncü taraf bilgi dogrulamasi yapilir - rol yapan akraba ve arkadaslar- ve nihai dolandiricilik önleme islevi, bir telefon numarasi depolama ve dagitim islevi araciligiyla gerçeklestirilir. Chinese patent numbered CN] 1 1 107227, which is in the state of the art In the document, a fraud/harassment prevention for phone voice and text information system is mentioned. Invention, artificial intelligence voice recognition, text information key word recognition, private phone third-party authentication, phone number distribution and address book storage, telephone data logging and similar functions. designs a new fraud and harassment prevention technology. The method is mainly private receiving industry, private password content, custom call rejection prompt tone, call access includes the functions of registration prompt and the like, Voice calls by technology and text information is determined, pre-fraud prevention and anti-harassment functions decide whether there is a pass or a shield according to the classification to perform given, third party verification of information for private numbers - pretending relative and friends- and the ultimate fraud prevention function, a phone number storage and through the distribution function.

Bulusun Kisa Açiklamasi Bu bulusun amaci, çagri merkezlerini gereksiz yere arayan ve mesgul eden kisilerin otomatik olarak çagriyi ilettikleri konum, cihaz ve ses verileriyle birlikte bir kara listeye eklenmelerini saglayan bir sistem gerçeklestirmektir. Brief Description of the Invention The purpose of this invention is to help people who call and occupy call centers unnecessarily. a land with the location, device and voice data to which they automatically forward the call. is to implement a system that allows them to be added to the list.

Bu bulusun baska bir amaci, çagri merkezlerini arayan kisilerin ses ve konum verilerinin mevcutta kara listede olan kisilerle karsilastirilarak çagri merkezini gereksiz yere arayip aramadiklarinin tespit edilmesini saglayan bir sistem gerçeklestirmektir. Another purpose of this invention is the voice and location of call center callers. data of the call center by comparing them with those who are currently blacklisted. A system that detects whether they call unnecessarily. is to perform.

Bulusun Ayrintili Açiklamasi Bu bulusun amacina ulasmak için gerçeklestirilen “Çagri Ileten Kisilerin Tespit Edilmesini Saglayan Bir Sistem” Sekil 1 Bulus konusu sistemin sematik görünüsüdür. Detailed Description of the Invention In order to achieve the purpose of this invention, the "Identification of Call Makers" A System That Ensures Figure 1 is the schematic view of the system that is the subject of the invention.

Sekilde yer alan parçalar tek tek numaralandirilmis olup, bu numaralarin karsiliklari asagida verilmistir: 1. Sistem 2. Veri tabani 3. Sunucu A. Çagri merkezi sunucusu Çagri merkezlerini arayan kisilerin ses ve konum verilerinin mevcutta kara listede bulunan kisilere ait ses ve konum verileri ile karsilastirilarak çagriyi ileten kisinin kara listede bulunan bir kisi olup olmadiginin tespit edilmesini saglayan bulus konususiüeni(1k -içerisinde daha önce çagri merkezlerini kötü niyetli olarak aradigi ve mesgul ettigi tespit edilen kisilere iliskin ses verilerini, konum bilgilerini ve cihaz bilgilerini bir liste seklinde kayit altinda tutmak üzere yapilandirilan en az bir veri tabani (2) ve -herhangi bir uzaktan iletisim protokolünü kullanarak çagri merkezi sunucusu (A) ile iletisim kurmak ve kurulan bu iletisim üzerinden veri alisverisi gerçeklestirmek, çagri merkezi sunucusundan (A) çagri merkezinin mesgul edildigi bilgisi ile tetiklenerek çagri merkezini arayan kisiye iliskin ses verisini alarak analiz etmek ve öz nitelik degerlerini çikarmak, çikarilan ses öznitelik degerlerini çagrinin iletildigi konum ve cihaz bilgisi ile birlikte bir liste seklinde veri tabanina (2) kaydetmek, çagri merkezi sunucuna (A) bir çagri iletildigi bilgisi ile tetiklenerek çagriyi ileten kisiye ait ses ve konum verileri ile veri tabani (2) içerisinde kayit altinda tutulan kisilere ait ses ve konum verilerini karsilastirarak çagriyi ileten kisinin kara listede olup olmadigini tespit etmek üzere ve çagri merkezi sunucusuna (A) bilgi iletmek üzere yapilandirilan en az bir sunucu (3) içermektedir. The parts in the figure are numbered one by one and the corresponding numbers are given below: 1. System 2. Database 3. Server A. Call center server Voice and location data of people calling call centers are currently blacklisted. by comparing with the voice and location data of the persons found, the caller's Invention that allows to detect whether there is a person on the black list subject(1k) -in which he previously maliciously called and occupied call centers voice data, location information and device information of detected contacts. at least one database (2) configured to record as a list, and -call center server (A) using any remote communication protocol to communicate with and to exchange data over this communication, with the information from the call center server (A) that the call center is busy to analyze the voice data of the caller by triggering the call center, and extracting the attribute values, the extracted audio attribute values to save in the database (2) in the form of a list with location and device information, The call center server (A) is triggered by the information that a call has been forwarded. The voice and location data of the person and the data stored in the database (2) By comparing the voice and location data of the contacts, the caller is blacklisted. To determine whether or not and to transmit information to the call center server (A) contains at least one server (3) configured to

Bulus konusu sistemde (1) yer alan veri tabani (2) sunucu (3] ile iletisim halinde Olup sunucu (3] tarafindan yönetilmek üzere yapilandirilmaktadir. Söz konusu veri tabani (2) içerisinde daha önce çagri merkezini aramis ve kötü niyetli oldugu tespit edilen kisileri ses öznitelik degerleri, çagriyi ilettikleri konum ve cihaz bilgileri ile birlikte kayit altinda tutmak üzere yapilandirilmaktadir. Bulusun tercih edilen düzenlemesinde veri tabani (2) çagri merkezini kötü niyetli aradigi tespit edilen kisilere iliskin verilerin yer aldigi en az bir listeyi kayit altinda tutmak üzere yapilandirilmaktadir. The database (2) in the inventive system (1) is in communication with the server (3). It is and is configured to be managed by the server (3). He had previously called the call center in his base (2) and was found to be malicious. the contacted contacts with their voice attribute values, the location and device information they forward the call to. It is configured to keep on record together. Invention preferred In the regulation, it was determined that the database (2) called the call center maliciously. to keep at least one list containing personal data. is being configured.

Bulus konusu sistemde (1) yer alan sunucu (3), teknigin bilinen durumunda yer alan herhangi bir uzak iletisim protokolünü kullanarak çagri merkezi sunucusu (A) ile iletisim kurmak ve kurulan bu iletisim üzerinden çagri merkezine iletilen çagrilara iliskin verileri çagri merkezi sunucusundan (A) almak üzere yapilandirilmaktadir. The server (3) in the system (1), which is the subject of the invention, is in the state of the art. with the call center server (A) using any remote communication protocol. to communicate and to the calls forwarded to the call center through this communication. It is configured to receive the related data from the call center server (A).

Bulusun tercih edilen düzenlemesinde sunucu (3), çagri merkezi sunucusu (A) ile Internet seklindeki bir veri sebekesi üzerinden iletisim kurmak üzere yapilandirilmaktadir. Söz konusu sunucu (3), veri tabani (2) içerisine yeni veri kaydi yapilmasi, veri tabani (2) içerisindeki kayitli verilerin silinmesi, veri tabani (2) içerisindeki kayitli verilerin degistirilmesi ve veri tabani (2) içerisindeki kayitli verilerin güncellenmesi seklindeki islemlerle veri tabanini (2) yönetmek üzere yapilandirilmaktadir. Bulusun tercih edilen düzenlemesinde sunucu (3) çagri merkezi sunucusundan (Al iletilen kara listeye kisi ekleme talebi ile tetiklenerek kara listeye eklenmesi istenen ve çagri ileten kisiye iliskin ses verisini, çagriyi ilettigi konum ve cihaz bilgisini çagri merkezi sunucusundan (A) almak üzere yapilandirilmaktadir. Söz konusu sunucu (3), kara listeye eklenmesi istenen ve çagri ileten kisiye iliskin alinan ses verisini analiz etmek ve Mel-Frekansi Kepstral Katsayilari metodu ile ses verisinin öznitelik degerlerini çikarmak üzere yapilandirilmaktadir. Sunucu (3) çikarilan ses öznitelik degerlerini çagrinin iletildigi konum ve cihaz bilgisi ile birlikte veri tabanina (2) kaydetmek üzere yapilandirilmaktadir. Bulusun tercih edilen düzenlemesinde sunucu (Sl, çagri merkezi sunucusuna (Al iletilen ve kabul edilen bir çagri ile tetiklenerek çagriyi ileten kisiye ait ses verisini ve konum bilgisini çagri merkezi sunucusundan (A) almak üzere yapilandirilmaktadir. Sunucu (3) anlik olarak alinan ses verisini analiz ederek çagriyi ileten kisinin ses öznitelik degerlerini çikarmak ve çikarilan öznitelik degerlerini veri tabani (2) içerisinde kötü niyetli arama yaptigi tespit edilen kisi listesindeki ses öznitelik degerleri ile karsilastirarak anlik çagri ileten kisiye ait ses öznitelik degerleri ve veri tabaninda (2) kayit altinda tutulan kisilere ait ses öznitelik degerleri arasindaki benzerligi Öklid metodu ile hesaplamak üzere yapilandirilmaktadir. Sunucu (3), benzerlik hesaplamasi sonucunda anlik olarak çagri merkezine çagri ileten kisinin ses öznitelik degerinin veri tabani (2) içerisinde kayitli olan kisilerden herhangi birinin ses öznitelik degeri ile belirli bir esigin üzerinde bir benzerlik oranina sahip oldugunu tespit ederse veri tabani (2) içerisinde kayit altinda tutulan ve benzerlik oraninin belirli bir esik degerinin üstünde oldugu tespit edilen kisilerden en yüksek benzerlik oranina sahip üç kisiyi belirlemek üzere yapilandirilmaktadir. Söz konusu sunucu (3), anlik olarak çagri merkezine çagri ileten kisiye ait konum verisi ile söz konusu kisi ile en yüksek ses öznitelik degeri benzerlik oranina sahip üç kisinin konum verilerini karsilastirmak ve anlik olarak çagri ileten kisinin konumunun karsilastirma yapilan konumlardan herhangi biri ile eslestigini tespit ederse anlik olarak çagri ileten kisinin kötü niyetli oldugunu ve veri tabani (2) içerisinde kara listede kayitli oldugunu belirlemek üzere yapilandirilmaktadir. Sunucu (3), anlik olarak çagri ileten kisinin veri tabani (2) içerisinde kayit altinda tutulan kara listede oldugunu tespit ederse söz konusu kisiye iliskin bilgilerin çagri merkezi sunucusuna (A) iletilmesini ve ilgili aksiyonlarin alinmasini saglamak üzere yapilandirilmaktadir. In the preferred embodiment of the invention, the server 3 is combined with the call center server A. to communicate over a data network in the form of the Internet. is being configured. The said server (3) enters the database (2) with new data. recording, deleting the recorded data in the database (2), Changing the recorded data in (2) and the saved data in the database (2) to manage the database (2) by updating the data. is being configured. In the preferred embodiment of the invention, the server (3) calls from the central server (Al is triggered by the request to add a person to the transmitted blacklist) Voice data of the person who is requested to be added to the black list and who sends the call, to receive the location and device information it transmits from the call center server (A). is being configured. The said server (3) is the one requested to be blacklisted and To analyze the voice data received about the caller and to use Mel-Frequency Kepstral To extract the attribute values of the audio data with the Coefficients method. is being configured. Server (3) call the extracted sound attribute values to save it in the database (2) together with the location and device information it is transmitted to. is being configured. In the preferred embodiment of the invention, the presenter (Sl, call central server (Al is triggered by a forwarded and accepted call, sender's voice data and location information from the call center server (A). is configured to receive. The server (3) analyzes the instantaneously received audio data. extracting the voice attribute values of the person making the call by The person whose values are detected to have made malicious searches in the database (2) The voice of the instant call forwarder by comparing it with the voice attribute values in the list Attribute values and voice attribute of the persons recorded in the database (2) to calculate the similarity between the values with the Euclidean method. is being configured. The server (3) is instantiated as a result of the similarity calculation. In the database (2) of the voice attribute value of the caller to the call center a certain threshold with the sound attribute value of any of the registered contacts. If it detects that it has a similarity ratio above recorded and the similarity rate is above a certain threshold value. to determine the three people with the highest similarity rate among the identified people. is being configured. The server (3) in question instantly calls the call center. location data of the transmitting person and the highest voice attribute value with that person To compare the location data of three people with similarity ratio and instantly The location of the call forwarder with any of the compared locations If it detects that it matches, the person who made the call instantly is malicious and to determine that it is blacklisted in the database (2). is being configured. Server (3), database of instant call forwarder (2) If it detects that you are on the black list recorded in transmitting the relevant information to the call center server (A) and taking the relevant actions. It is configured to enable it to be received.

Bulusun sanayiye uygulanmasi Bulus konusu sistemde (l), çagri merkezini arayan kisilere ait ses ve konum verilerinin önceden çagri merkezini aramis fakat kötü niyetli oldugu tespit edilerek kara listeye alinmis kisilere ait ses ve konum verileriyle karsilastirilarak arayan kisilerin kara listede olup olmadiklarinin tespit edilmesi ve böylece çagri merkezlerinin gereksiz yere mesgul edilmesinin önüne geçilmesi saglanmaktadir. Application of the invention to industry In the system (l) which is the subject of the invention, the voice and location of the people calling the call center data had previously called the call center, but it was determined that it was malicious. compared with voice and location data of blacklisted contacts. detecting whether people are on the black list and thus calling It is ensured that the centers are prevented from being occupied unnecessarily.

Bu temel kavramlar etrafinda, bulus konusu “Çagri Ileten Kisilerin Tespit Edilmesini Saglayan Bir Sistem (1)” ile ilgili çok çesitli uygulamalarin gelistirilmesi mümkün olup, bulus burada açiklanan örneklerle sinirlandirilaniaz, esas olarak istemlerde belirtildigi gibidir. Around these basic concepts, the subject of the invention is “Identification of Callers. Various applications related to "A System (1) The invention cannot be limited to the examples described herein, essentially as specified in the claims.

Claims

REQUESTS . By comparing the voice and location data of the people calling the call centers with the voice and location data of the people who are currently on the black list, it enables to determine whether the person who sent the call is a person on the black list; -containing at least one database (2) configured to record in the form of a list of voice data, location information, and device information of people who have previously been found to have maliciously called and occupied call centers, and -using any remote communication protocol To communicate with the call center server (A) and to perform data exchange over this communication, to analyze the voice data of the caller by taking the call center from the call center server (A) with the information that the call center is busy, to analyze it and to extract the attribute values, to extract the extracted voice attribute. to save the values of the call, together with the location and device information, in the form of a list in the database (2); A system (1) characterized by at least one server (3) configured to transmit information to the call center server (A) and to detect whether the caller is blacklisted by comparing the voice and location data of the call center. . A system (1) as in Claim 1, characterized by at least one database (2) in communication with the server (3) and configured to be managed by the server (3). . A System (1) as in Claim 1 or 2, characterized by a database (2) that is configured to record the people who have previously called the call center and are found to be malicious, together with their voice attribute values, the location and device information they transmit the call to. . . To communicate with the call center server (A) using any remote communication protocol, as in any of the above prompts, characterized by the database (2], which is configured to keep at least one list containing the data about the people who are detected to call the call center maliciously. and a system (1) as in any of the above requests, characterized by the server (3) configured to receive the data regarding the calls transmitted to the call center over this communication from the call center server (A). A system (1) as in Claim 57, characterized by a server (3) that is configured to communicate over the network. A system (1) as in any one of the above claims, characterized by a server (3) configured to manage the database (2) with operations such as changing the recorded data and updating the recorded data in the database (2). . One of the above requests, characterized by the server (3) that is configured to receive the voice data, location and device information of the caller, which is triggered by the request to add a person to the black list transmitted from the call center server (A), and which is requested to be added to the black list from the call center server (A). a system as in any (1). A system as in any of the above prompts, characterized by the server (3) configured to analyze the received voice data related to the caller to be added to the blacklist and to extract the attribute values of the voice data with the Mel-Frequency Kepstral Coefficients method. A system as in any of the above requests, characterized by the server (3) configured to save in the database (2) together with the location and device information. A system as in any of the above requests, characterized by the server (3) that is configured to receive the location information from the call center server (A). Characterized by the server (3), which is configured to calculate the similarity between the voice attribute values of the person sending the instant call and the voice attribute values of the people recorded in the database (2), by comparing them with the voice attribute values in the list of contacts detected to have made a malicious call, using the Euclidean method. A system (1) as in any one of the preceding claims. If, as a result of the similarity calculation, it detects that the voice attribute value of the person who sent the call to the call center instantaneously has a similarity ratio above a certain threshold with the voice attribute value of any of the persons registered in the database (2), the voice attribute value of the person who made the call to the call center is recorded and recorded in the database (2). A system (1) as in any one of the above claims, characterized by the server (3) configured to identify the three individuals with the highest similarity ratio among those whose rate is determined to be above a certain threshold value. Comparing the location data of the person who sent the call to the call center instantly with the location data of the person in question and the three people with the highest voice attribute value, and if it detects that the location of the caller instantly matches any of the compared locations, A system (1) as in any of the above claims, characterized by the server (3) configured to determine that it is malicious and registered in the database (2) in a black list. As in any of the above prompts, characterized by the server (3), which is configured to transmit the information about the person in question to the call center server (A) and to take the relevant actions, if it detects instantly that the caller is in the blacklist recorded in the database (2). a system (1).