TR202021858A2

TR202021858A2 - POSITION ESTIMATION SYSTEM WITH NOISE ANALYSIS

Info

Publication number: TR202021858A2
Application number: TR2020/21858A
Authority: TR
Inventors: Koçbey Emi̇r; Eren Işik Muhsi̇n; Ali̇m Türkmen Yaşar
Original assignee: Turkcell Technology Research And Development Co
Priority date: 2020-12-27
Filing date: 2020-12-27
Publication date: 2021-01-21

Abstract

Bu buluş, mobil cihaz (2) üzerinden gerçekleştirilen sesli görüşmeler sırasında üzerinden bağlantı kurulan hücre bilgisinin konumuna ek olarak konuşma sırasındaki gürültünün de analizi ile kullanıcının konumunun GPS verisi olmadığı durumlarda yüksek doğrulukla tahminlenmesini sağlayan bir sistem (1) ile ilgilidir.The present invention relates to a system (1) that provides high accuracy estimation of the user's location when there is no GPS data by analyzing the noise during the conversation, in addition to the location of the cell information that is connected through the mobile device (2).

Description

TARIFNAME GÜRÜLTÜ ANALIZI ILE KONUM TAHMINLEME SISTEMI Teknik Alan Bu bulus, mobil cihaz üzerinden gerçeklestirilen sesli görüsmeler sirasinda üzerinden baglanti kurulan hücre bilgisinin konumuna ek olarak konusma sirasindaki gürültünün de analizi ile kullanicinin konumunun GPS verisi olmadigi durumlarda yüksek dogrulukla tahminlenmesini saglayan bir sistem ile ilgilidir. Önceki Teknik Telekom sebekesi abonelerine ait konum verilerine genellikle GPS sinyalleri sayesinde erisilmektedir. Ancak GPS sinyali alinamayan bölgeler içinde abonelere ait konum bilgisinin tespit edilmesine de ihtiyaç duyulmaktadir. Bu gibi durumlarda abonelerin veri alisverisi gerçeklestirmek üzere baglanti kurdugu baz istasyonu hücrelerinin konumlari kullanilmaktadir. Ancak bu hücrelerin çaplari merkezi bölgelerde 1 km kirsal bölgelerde ise 15 km civarinda olmaktadir. Dolayisiyla abonenin konumuna dair eger GPS sinyali alinamiyor ise çok dogru bir veri elde etmek pek mümkün olamamaktadir. DESCRIPTION POSITION ESTIMATING SYSTEM WITH NOISE ANALYSIS Technical Area This invention is used during voice conversations on a mobile device. speech in addition to the location of the cell information connected via with the analysis of the noise during the user's location is not GPS data. It relates to a system that allows it to be predicted with high accuracy in situations. Prior Art GPS signals are usually sent to the location data of telecom network subscribers. through access. However, in regions where GPS signal cannot be received, subscribers It is also needed to determine the location information of the In similar cases base station to which subscribers connect to exchange data cell locations are used. However, the diameters of these cells are central. It is around 1 km in regions and 15 km in rural areas. Therefore If the GPS signal cannot be obtained about the location of the subscriber, very accurate data can be obtained. it is hardly possible.

Bu sebeple mobil cihaz üzerinden gerçeklestirilen sesli görüsmeler sirasinda üzerinden baglanti kurulan hücre bilgisinin konumuna ek olarak konusma sirasindaki gürültünün de analizi ile kullanicinin konumunun GPS verisi olmadigi durumlarda yüksek dogmlukla tahminlenmesini saglayan bir sisteme ihtiyaç duyulmaktadir. dokümaninda, arayan kisinin özel bir islem yapmasina gerek olmadan arka plan seslerini analiz ederek arayan kisinin konumunun bulunmasini saglayan bir sistem ve yöntem açiklanmaktadir. Söz konusu bulus, normal bir iletisim cihazi ile arka planda isitilebilir düzeydeki sesleri tespit etmekte, ayinnakta ve bu sesleri analiz ederek kisinin detayli konumunu belirleyebilmektedir. Açiklanan bulus, isitilebilir bir ses analiz etmek için birden farkli frekansa sahip çok sayida sesi kombine ederek sentezleyebilmekte ve üç boyutlu detayli bir konum bilgisi sunabilmektedir. For this reason, during voice calls made on a mobile device, speech in addition to the location of the cell information connected via with the analysis of the noise during the user's location is not GPS data. There is a need for a system that can be predicted with high accuracy in such cases. is heard. background in the document without the caller needing to take any special action. A system that analyzes the voices of the caller to find the location of the caller. and the method is described. The invention in question is connected with a normal communication device. detecting, reciting, and analyzing audible sounds in the background can determine the detailed location of the person by Disclosed invention, heatable combining multiple sounds with multiple different frequencies to analyze a sound It can synthesize and provide a detailed three-dimensional position information.

Bahsedilen bulus sayesinde, normal bir telefon ile yapilan acil durum aramalarinda detayli konum edinilmekte bu sayede acil durum personelinin isi kolaylasmaktadir. Thanks to the mentioned invention, emergency calls made with a regular telephone A detailed location is obtained, thus facilitating the work of emergency personnel.

Bulusun Kisa Açiklamasi Bu bulusun amaci, mobil cihaz üzerinden gerçeklestirilen sesli görüsmeler sirasinda üzerinden baglanti kurulan hücre bilgisinin konumuna ek olarak konusma sirasindaki gürültünün de analizi ile kullanicinin konumunun GPS verisi olmadigi durumlarda yüksek dogrulukla tahminlenmesini saglayan bir sistem gerçeklestirmektir. Brief Description of the Invention The purpose of this invention is to make voice calls on a mobile device. speech in addition to the location of the cell information connected via with the analysis of the noise during the user's location is not GPS data. A system that allows the prediction of situations with high accuracy is to perform.

Bulusun Ayrintili Açiklamasi Bu bulusun amacina ulasmak için gerçeklestirilen “Gürültü Analizi ile Konum Tahminleme Sistemi” ekli sekilde gösterilmis olup, bu sekil; Sekil 1. Bulus konusu sistemin sematik görünüsüdür. Detailed Description of the Invention In order to achieve the aim of this invention, “Noise Analysis and Position Forecasting System” is shown in the attached figure, which is; Figure 1. The subject of the invention is the schematic view of the system.

Sekilde yer alan parçalar tek tek numaralandirilmis olup, bu numaralarin karsiliklari asagida verilmistir: 1. Sistem 2. Mobilcihaz 3. Gürültü tanima cihazi 4. Veritabani . Sunucu A. Baz istasyonu B. GPS alicisi Telefon üzerinden gerçeklestirilen sesli görüsmeler sirasinda üzerinden baglanti kurulan hücre bilgisinin konumuna ek olarak konusma sirasindaki gürültünün de analizi ile kullanicinin konumunun GPS verisi olmadigi durumlarda yüksek dogrulukla tahminlenmesini saglayan bulus konusu sistem (1 l; -üzerinde en azindan bir uygulama yürütebilen ve herhangi bir uzak iletisim protokolünü kullanarak uzak sunucular ile iletisim kurabilen en az bir mobil cihaz -mObil cihaz (2) ile gerçeklestirilen sesli görüsmelerde kullaniciya ait konusma disindaki gürültü seslerinin yaziya dönüstürülmesini saglamak üzere yapilandirilan en az bir gürültü tanima cihazi (3), -içerisinde ortam seslerinin hangi ortama ait oldugu bilgisini ve baz istasyonlarindaki (A) hücrelerin konum bilgisini kayit altinda tutmak üzere yapilandirilan en az bir veri tabani (4) ve -kullanicilar mobil cihaz (2] üzerinden sesli bir görüsme gerçeklestirirken mobil cihazin (2) baz istasyonundaki (Al hangi hücre üzerinden veri alarak bu iletisimi gerçeklestirdiginin belirlenmesini saglamak, mobil cihaz (2) ile gerçeklestirilen sesli görüsmede kullanicinin sesi disindaki gürültünün inakine ögrenme teknikleri ile analiz edilmesiyle kullanicinin nasil bir ortamda bulunuyor olabilecegini tahminlemek, hücre konumu ve gürültü analiz verilerini birlestirerek GPS sinyali alinamadigi durumlarda kullanicinin konumuna iliskin dogru bir veri elde edilmesini saglamak ve veritabani (4) ile iletisim halinde olup veri tabanini (4) yönetmek üzere yapilandirilan en az bir sunucu (5) içermektedir. The parts in the figure are numbered one by one and the corresponding numbers are given below: 1. System 2. Mobile device 3. Noise recognition device 4. Database . Server A. Base station B. GPS receiver During the voice calls made over the phone, the connection is made over the phone. In addition to the location of the established cell information, the noise during speech also With the analysis of the user's location in cases where there is no GPS data, high system of the invention, which provides an accurate estimation (1 l; - any remote communication capable of running at least one application on it At least one mobile device that can communicate with remote servers using the protocol -The speech of the user in voice calls made with the mobile device (2) configured to convert noise sounds other than at least one noise recognition device (3), -includes the information of which environment the ambient sounds belong to and the base to record the location information of the cells in the (A) stations. configured at least one database (4) and -When users are making a voice call on the mobile device (2], the mobile At the base station (Al) of the device (2), it receives data from which cell and transmits this communication. to ensure that it is performed by the mobile device (2). Learning techniques to avoid noise other than the voice of the user in voice conversation By analyzing with GPS signal by combining cell location and noise analysis data. obtaining accurate data on the location of the user in cases where the to ensure that the database (4) is in communication with the database (4). contains at least one server (5) configured to manage it.

Bulus konusu sistemde (1) yer alan mobil cihaz (2), tus veya dokunmatik ekran seklindeki bir girdi birimine, ses çikisini saglayan en az bir hoparlöre ve ses girisini saglayan en az bir mikrofona sahip, kullanicilar tarafindan tasinan, en azindan bir mobil iletisim sebekesi vasitasiyla iletisim gerçeklestirmek üzere yapilandirilan cep telefonu, akilli telefonv tablet bilgisayar seklindeki bir elektronik cihazdir. Bulusun tercih edilen bir uygulamasinda mobil cihaz (2), sahip oldugu bir SIM kart vasitasiyla bir mobil iletisim sebekesinden hizmet almak üzere yapilandirilmaktadir. Bulusun diger bir uygulamasinda mobil cihaz (2) internet seklindeki kablosuz bir veri yolunu kullanmak üzere yapilandirilmaktadir. Bulusun bir baska uygulamasinda mobil Cihaz (2), üzerinde yürütülen en azindan bir anlik konum tespit uygulamasi vasitasiyla kullanicinin anlik konumunun tespit edilmesini saglamak üzere yapilandirilmaktadir. Mobil cihaz (2) üzerinden bir mobil iletisim sebekesinin kullanimi ile üreyen ve mobil cihaz (2) kullanicilarina ait yaklasik lokasyon bilgisi saglayan kayitlarin edinilmesini saglamak üzere yapilandirilmaktadir. Bulusun bir uygulamasinda mobil cihaz (2) kullaniciya ait anlik konum bilgisini en az bir GPS alicisi (B) üzerinden tespit etmek üzere yapilandirilmaktadir. Mobil cihaz (2), baz istasyonundaki (A) erisilebilen en yakin hücre ile iletisim kurarak kullanicilarin sesli bir görüsme yapmasini saglamak ve GPS sinyalleri alinabiliyor ise GPS alicisi (A) sayesinde kullanicinin konumunu belirlemek üzere yapilandirilmaktadir. The mobile device (2), key or touch screen in the inventive system (1) shaped input unit, at least one speaker providing sound output, and sound input User-carried at least one microphone mobile phone configured to communicate via the mobile communication network. phone is an electronic device in the form of a smart phone or tablet computer. find it in a preferred embodiment, the mobile device (2) has a SIM card to receive service from a mobile communication network via is being configured. In another embodiment of the invention, the mobile device (2) uses the internet. It is configured to use a wireless bus. find it in another application, the mobile Device (2) may be at least momentarily executed on it. Detection of user's current location via geolocation application is structured to ensure via the mobile device (2). to users of mobile devices (2) that are generated by the use of mobile communication network. In order to ensure the acquisition of records that provide approximate location information of is being configured. In one embodiment of the invention, the mobile device (2) belongs to the user. to detect instantaneous location information via at least one GPS receiver (B). is being configured. The mobile device (2) is the closest accessible to the base station (A). to enable users to make a voice call by communicating with the cell, and If GPS signals can be received, the user's location is determined by the GPS receiver (A). is set to be determined.

Bulus konusu sistemde (1) yer alan gürültü taniina cihazi (3), mobil cihaz (2) ile gerçeklestirilen müsteri temsilcisi arama, sesli görüsme veya ses kullanilan uygulamalari çalistirma sirasinda arka plandaki gürültü sesinin konusma sesinden ayri olarak tespit edilmesi ve ilgili sesin yaziya dönüstürülmesini saglamak üzere yapilandirilmaktadir. Gürültü tanima Cihazi (3), mobil cihaz (2) üzerinden gerçeklestirilen sesli görüsmeler sirasinda tespit edilen gürültü sesini yazi formatina dönüstürdükten sonra ilgili metni sunucuya (5] iletmek üzere yapilandirilmaktadir. The noise recognition device (3) in the system (1), which is the subject of the invention, is connected to the mobile device (2). customer representative call, voice call or voice used sound of background noise during running applications. to be detected separately and to enable the related sound to be converted into text. is being configured. Noise recognition Device (3) via mobile device (2) Convert the noise sound detected during voice calls to text format. After converting, it is configured to transmit the relevant text to the server (5).

Bulus konusu sistemde (1) yer alan veri tabani (4), sunucu (5) ile iletisim halinde olup sunucu (5) tarafindan yönetilmek üzere yapilandirilmaktadir. Bulusun tercih edilen düzenlemesinde veri tabani (4) içerisinde ortam seslerinin metne dönüstürülmüs versiyonlari ve bu metinlerin hangi ortama ait oldugu bilgisinin birbiri ile eslestirilmis sekilde kayit altinda tutulmasini saglamak üzere yapilandirilmaktadir. Veri tabani (4), baz istasyonlarindan (A) hizmet sunulmasini saglayan hücre bilgileri, hücreler ile hizmet verilen bölge bilgileri, ne genislikte bir bölgeye hizmet saglandigi bilgisi ve hücrelerin bulundugu konum bilgilerinin birbirleri ile iliskilendirilmis sekilde kayit altinda tutulmasini saglamak üzere yapilandirilmaktadir. Veri tabani (4), konum tahmin verisi/GPS sinyali konum verisi dogrultusunda yapay zeka ile egitilen modele ait verilerin kayit altinda tutulmasini saglamak üzere yapilandirilmaktadir. The database (4) in the inventive system (1) is in communication with the server (5). and is configured to be managed by the server (5). Find your choice In the mentioned arrangement, the ambient sounds are translated into the text in the database (4). information about the converted versions and which medium these texts belong to. in order to ensure that they are recorded in paired form with each other. is being configured. The database (4) requires service delivery from base stations (A). cell information that provides the cells, the area served by the cells, the extent of the information that the area is served and the location information of the cells in order to ensure that they are recorded in relation to each other. is being configured. Database (4), location forecast data/GPS signal location The data of the model trained with artificial intelligence in line with the data is recorded. is configured to ensure retention.

Bulus konusu sistemde (1) yer alan sunucu (5), herhangi bir uzaktan iletisim protokolünü kullanarak mobil cihaz (2) ile iletisiin kurmak ve kurulan bu iletisim üzerinden veri alisverisi gerçeklestirmek üzere yapilandirilmaktadir. Sunucu (5), gürültü tanima cihazi (3) ile iletisim kurmak ve kurulan bu iletisim üzerinden veri almak üzere yapilandirilmaktadir. Sunucu (5), veri tabani (4) içerisine yeni veri kaydi yapilmasi, veri tabani (4) içerisindeki kayitli verilerin silinmesi ya da veri tabani (4) içerisindeki kayitli verilerin degistirilmesi ve veri tabani (4) içerisindeki kayitli verilerin güncellenmesi seklindeki islemlerle veri tabanini (4) yönetmek üzere yapilandirilmaktadir. Söz konusu sunucu (5), mobil cihaz (2) üzerinden sesli bir arama gerçeklestirildigi sirada mobil cihazin (2) baz istasyonundaki (A) hangi hücre ile iletisim kurarak baglanti gerçeklestirdigini belirlemek üzere yapilandirilmaktadir. Sunucu (2), sesli arama sirasinda belirlenen hücre bilgisi sayesinde veri tabaninda (4) kayit altinda tutulan hücre bilgisine karsilik gelen hücre konum bilgisinin belirlenmesini saglamak üzere yapilandirilmaktadir. The server (5) in the system (1), which is the subject of the invention, cannot be used for any remote communication. To communicate with the mobile device (2) using the protocol and It is configured to perform data exchange over the Internet. Server (5), To communicate with the noise recognition device (3) and to transmit data over this communication. is configured to receive. The server (5) inserts new data into the database (4). recording, deleting the recorded data in the database (4) or Changing the recorded data in database (4) and changing the data in database (4) managing the database (4) by updating the recorded data is configured to. The said server (5) can be voiced over the mobile device (2). which station (A) of the mobile device (2) during a call is being made. to determine whether it has established a connection by communicating with the cell. is being configured. The server (2) provides the cell information determined during the voice call. corresponding to the cell information recorded in the database (4). It is configured to enable the determination of cell location information.

Sunucu (5), mobil cihaz (2) üzerinden sesli bir arama baslatildiginda gürültü tanima cihazinin (3) devreye girmesini ve konusmanin arka planindaki gürültü seslerinin tespit edilmesini saglamak üzere yapilandirilmaktadir. Sunucu (5), gürültü tanima Cihazi (3) ile elde edilen gürültü seslerinin yaziya çevrilmis metin versiyonlarini almak üzere yapilandirilmaktadir. Sunucu (5), sesli görüsme sirasinda tespit edilen gürültü seslerinin metin versiyonlarini veri tabaninda (4) kayit altinda tutulan ortam sesine ait metinler ve bu metinlerin hangi ortama ait olduguna iliskin veriler üzerinde analizlemek ve gürültünün hangi ortama ait oldugunun belirlenmesini saglamak üzere yapilandirilmaktadir. Sunucu (5), sesli görüsmeye iliskin belirlenen ortam ve hizmet alinan hücre konumu bilgilerinin birlestirilmesi ve bu bilgilerin yapay zeka algoritmalari ile islenmesini saglamak üzere yapilandirilmaktadir. The server (5) performs noise recognition when a voice call is initiated via the mobile device (2). device (3) to activate and the noise sounds in the background of the conversation configured to detect it. Server (5), noise recognition Transcribed text versions of noise sounds obtained with the device (3) is configured to receive. Presenter (5), detected during the voice call media that records text versions of noise sounds in the database (4) texts belonging to the voice of the voice and data on which medium these texts belong to and to determine which environment the noise belongs to. It is configured to provide. Presenter (5), determined for the voice call combining environment and serviced cell location information and It is configured to enable it to be processed with artificial intelligence algorithms.

Sunucu (5), islenen veriler sonucu mobil cihaz (2) konumuna iliskin bir tahmin olusturmak üzere yapilandirilmaktadir. Sunucu (5 ), sesli görüsme gerçeklestirildigi anda mobil cihazin (2) GPS sinyallerine erisim saglanma durumunu saptamak ve GPS sinyali alinabiliyor ise mobil Cihazin (2) konumuna iliskin GPS sinyalleri ile de bir konum bilgisi üretmek üzere yapilandirilmaktadir. Sunucu (5), sesli görüsme saglanmasi için hizmet alinan hücreye ait konum ve konusma sirasindaki gürültü analizi ile elde edilen ortam bilgisi verilerine dayali olusturulan konum tahmInInI, GPS sinyalleri ile alinan konum bilgisi ile karsilastirmak ve dogrulama yapmak üzere yapilandirilmaktadir. Sunucu (5), elde edilen konum tahmini verisini GPS sinyali alinabilen durumlarda daha dogru konum bilgisi sunan GPS sinyalleri ile alinmis konum verileri sayesinde yapay zeka algoritmalarini kullanarak sürekli egitmek üzere yapilandirilmaktadir. Sunucu (5), konum tahminlerinin yapay zeka algoritmalari ile egitilmesini saglayan bir model olusturmak ve modeli yeni gelen konum tahmin/GPS sinyali konumu verileri ile sürekli egitmek üzere yapilandirilmaktadir. The server (5) makes an estimation of the mobile device (2) location as a result of the processed data. is configured to create. Presenter (5), voice call to determine the status of the mobile device (2) accessing the GPS signals at the same time, and If the GPS signal can be received, with the GPS signals related to the position of the mobile device (2). It is also configured to generate a location information. Presenter (5), voice call The location of the cell from which service is received and the noise during speech. location estimation based on environmental information data obtained through analysis, Comparing and verifying the location information received with GPS signals is configured to. The server (5) sends the obtained location estimation data to GPS. With GPS signals that provide more accurate location information in situations where the signal can be received. continuously using artificial intelligence algorithms thanks to the location data taken. It is configured to train. Server (5), artificial intelligence of location predictions to create a model that trains students with algorithms and location forecast/GPS signal about to continuously train with location data is being configured.

Bulus konusu sistem (1) sayesinde, GPS sinyali alinamayan durumlarda kullanicilarin konumlarina iliskin GPS sinyali ile tespit edilen konum verisine benzer dogrulukta konum tespiti yapilmasi saglanmaktadir. Thanks to the inventive system (1), in situations where GPS signal cannot be obtained, to the location data detected by the GPS signal regarding the users' locations. similarly accurate position detection is provided.

Bu temel kavramlar etrafinda, bulus konusu “Gürültü Analizi ile Konum Tahminleme Sistemi (1)” ile ilgili çok çesitli uygulamalarin gelistirilmesi mümkün olup, bulus burada açiklanan örneklerle sinirlandirilamaz, esas olarak istemlerde belirtildigi gibidir. Around these basic concepts, the subject of the invention is “Location Analysis with Noise Analysis”. It is possible to develop a wide variety of applications related to the “Forecasting System (1)” and the invention cannot be limited to the examples described herein, as stated.

Claims

REQUESTS . During voice calls made over the phone, it provides high-accuracy estimation of the user's subject in cases where GPS data is not available, with the analysis of the noise during the conversation, in addition to the location of the cell information connected over it; - at least one noise recognition device configured to enable the conversion of non-speech noise sounds of the user to text in voice calls made with at least one mobile device (2) that can run at least one application on it and communicate with remote servers using any remote communication protocol (3), -containing at least one database (4), which is configured to record the information of which environment the ambient sounds belong to and the location information of the cells in the base stations (A), and -the mobile device while the users are making a voice call over the mobile device (2). to determine from which cell in the base station (A) the device (2) carries out this communication, to predict how the user might be in the middle of it by analyzing the noise other than the voice of the user in the voice call with the mobile device (2) by machine learning techniques, noise anal A system (1) characterized by at least one server (5) that is configured to communicate with the database (4) and to manage the database (4), in order to obtain an accurate data on the location of the user in cases where the GPS signal cannot be obtained by combining the trace VEIs. . . Mobile phone, smartphone, tablet computer configured to communicate via at least one mobile communication network carried by the user, having an input unit in the form of a key or touchscreen, at least one speaker for sound output, and at least one microphone for sound input. A system (1) as in Claim 1, characterized by a mobile Device (2]. A mobile device configured to receive service from a mobile communication network via a SIM card it has (as in claim 1 or 2, characterized by Zi) a system (1) Any of the above claims characterized by a mobile device (2) configured to use a wireless bus in the form of the Internet Mobile device (2 ) as in any of the above claims, characterized by system (1). . A system (1) as in any of the above claims, characterized by the mobile device (2), which is configured to obtain records that are generated by the use of a mobile communication network over it and provide approximate location information of the mobile device (2) users. A system as in any of the above claims, characterized by a mobile device (2) configured to detect over at least one GPS receiver (B). If signals can be received, a system (1) as in any of the above claims, characterized by the mobile device (2) configured to determine the location of the user thanks to the GPS receiver (A). background noise during operation After converting the noise sound detected during voice calls made over a Mobile device (2), as in any of the above claims, characterized by the noise recognition Device (3), which is configured to detect the voice separately from the speech voice and to convert the related voice to text, into text format, then convert the relevant text into text format. A system as in any of the above claims, characterized by a noise recognition device (3) configured to transmit to the server (5), is in communication with the Server (5) and any of the above claims characterized by the database (4) configured to be managed by the server (5). a system as in one (1). Cell information that provides service from a system base stations (A) as in any of the above requests, characterized by the database (4), which is configured to record the versions of the ambient sounds that have been converted into text and the information of which environment these texts belong to, paired with each other, A system (1) as in any of the above claims, characterized by a database (4) configured to record the area served by the cells, the extent of the area served, and the location information of the cells in relation to each other. A system (1) as in any one of the above claims, characterized by a database (4) configured to record the data of the model trained with artificial intelligence in accordance with the location estimation data/GPS signal location data. A system (1) as in any of the above claims, characterized by the server (5) configured to communicate with the mobile device (2) using any remote communication protocol and to exchange data over this established communication. A system (1) as in any of the above claims, characterized by a server (5) that is configured to establish and receive data over this established communication. A system (1) as in any one of the above claims, characterized by the server (5) configured to manage the database (4) with operations such as changing the recorded data in the database (4) and updating the recorded data in the database (4). 2) when a voice call is made via A system (1) as in any of the above claims, characterized by the server (5) configured to determine which cell it has established a connection with by communicating with it. A System (1) as in any one of the above claims, characterized by the server (5) configured to determine the cell location information corresponding to the cell information recorded in the database (4) thanks to the cell information determined during the voice call. A system as in any of the above claims, characterized by the server (5) configured to enable the noise recognition device (3) to activate when a voice call is started over the mobile device (2) and to detect the noise sounds in the background of the conversation. A system (1) as in any one of the above claims, characterized by the server (5) configured to receive transcribed text versions of the noise sounds obtained. Characterized by the above server (5), which is configured to analyze the text versions of the noise sounds detected during the voice call on the texts of the ambient sound recorded in the database (4) and the data about which medium these texts belong to, and to determine which environment the noise belongs to. A system (1) as in any one of the claims. A system (1) as in any one of the above claims, characterized by the server (5) configured to combine the information about the environment and the location of the cell from which service is received, and to process this information with artificial intelligence algorithms. A system (1) as in any one of the above claims, characterized by the server (5) configured to generate an estimate of the mobile device (2) location as a result of the processed data. As in any of the above claims, characterized by a server (5) configured to determine the status of access to GPS signals of the mobile device (2) at the time of voice call and to generate a location information with GPS signals regarding the location of the mobile device (2) if the GPS signal can be received. system (1). As in any of the above claims, characterized by the server (5) that is configured to compare the location estimation based on the location information of the cell from which service is received and the ambient information obtained by the analysis of the noise during the conversation, with the location information received by GPS signals and to make verification in order to provide voice calls. A system (1) as in any one of the above claims, characterized by a server (5) configured to continuously train the obtained location estimation data using artificial intelligence algorithms thanks to the location data obtained with GPS signals, which provides more accurate location information in cases where GPS signal can be received. A system (1) as in any one of the above claims, characterized by the server (5) that is configured to create a model that enables the training of location predictions with artificial intelligence algorithms and to train the model continuously with the data of the new incoming location prediction/GPS signal subject.