CN112637833B - Communication terminal information detection method and equipment - Google Patents
Communication terminal information detection method and equipment Download PDFInfo
- Publication number
- CN112637833B CN112637833B CN202011524289.9A CN202011524289A CN112637833B CN 112637833 B CN112637833 B CN 112637833B CN 202011524289 A CN202011524289 A CN 202011524289A CN 112637833 B CN112637833 B CN 112637833B
- Authority
- CN
- China
- Prior art keywords
- voice
- voice signal
- communication terminal
- management
- frame
- 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.)
- Active
Links
- 238000004891 communication Methods 0.000 title claims abstract description 86
- 238000001514 detection method Methods 0.000 title claims abstract description 23
- 238000000034 method Methods 0.000 claims abstract description 21
- 230000005856 abnormality Effects 0.000 claims abstract description 6
- 238000012545 processing Methods 0.000 claims description 35
- 238000001228 spectrum Methods 0.000 claims description 15
- 230000002159 abnormal effect Effects 0.000 claims description 13
- 238000005070 sampling Methods 0.000 claims description 6
- 238000000605 extraction Methods 0.000 claims description 4
- 238000004364 calculation method Methods 0.000 claims description 2
- 238000009432 framing Methods 0.000 claims description 2
- 238000012544 monitoring process Methods 0.000 description 6
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000004590 computer program Methods 0.000 description 2
- 238000000354 decomposition reaction Methods 0.000 description 2
- 230000003595 spectral effect Effects 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 1
- 150000001875 compounds Chemical class 0.000 description 1
- 238000007796 conventional method Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012806 monitoring device Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000001629 suppression Effects 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
- 238000005406 washing Methods 0.000 description 1
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W8/00—Network data management
- H04W8/18—Processing of user or subscriber data, e.g. subscribed services, user preferences or user profiles; Transfer of user or subscriber data
- H04W8/20—Transfer of user or subscriber data
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/20—Speech recognition techniques specially adapted for robustness in adverse environments, e.g. in noise, of stress induced speech
-
- 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
- G10L25/78—Detection of presence or absence of voice signals
- G10L25/87—Detection of discrete points within a voice signal
Landscapes
- Engineering & Computer Science (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)
- Signal Processing (AREA)
- Databases & Information Systems (AREA)
- Computer Networks & Wireless Communication (AREA)
- Mobile Radio Communication Systems (AREA)
- Telephonic Communication Services (AREA)
Abstract
The invention provides a communication terminal information detection method and equipment, wherein the communication terminal information detection method comprises the steps that a control base station detects a communication terminal in a service cell to acquire identity information of the communication terminal; the management and control base station sends an access request to a communication terminal in the service cell, so that the communication terminal can access the management and control base station after receiving the access request, and the management and control base station is connected with and accesses an operator network; a reconnaissance module arranged in the management and control base station monitors voice signals sent and received by the accessed communication terminal, intercepts the voice signals sent and received by the communication terminal and stores the voice signals to a management terminal; and the management terminal analyzes and processes the acquired voice signals and sends out alarm information when abnormality is detected. The invention can effectively improve the intelligent level of information detection aiming at the communication terminal in a specific occasion.
Description
Technical Field
The invention relates to the technical field of communication detection, in particular to a method and equipment for detecting communication terminal information.
Background
At present, specific terminal equipment information needs to be detected within an allowed range aiming at specific occasions (such as prisons, inquests, non-public occasions and the like); in the prior art, when the data transmitted and received by the target terminal equipment needs to be detected, the corresponding monitoring device needs to be installed on the target terminal equipment, but the above mode is very inconvenient to operate, and the requirement of information detection of the terminal equipment cannot be met.
Disclosure of Invention
In view of the above problems, the present invention aims to provide a method and a device for detecting communication terminal information.
The purpose of the invention is realized by adopting the following technical scheme:
the invention discloses a communication terminal information detection method, which comprises the following steps:
the management and control base station detects the communication terminal in the service cell to acquire the identity information of the communication terminal;
the management and control base station sends an access request to a communication terminal in the service cell, so that the communication terminal can access the management and control base station after receiving the access request, and the management and control base station is connected with and accesses an operator network;
a reconnaissance module arranged in the management and control base station monitors voice signals sent by the accessed communication terminal, intercepts the voice signals sent by the communication terminal and stores the voice signals to a management terminal;
and the management terminal analyzes and processes the acquired voice signal and sends out alarm information when abnormality is detected.
Preferably, the monitoring module provided in the management and control base station monitors the voice signal sent by the accessed communication terminal, including:
the management and control base station monitors the voice signal sent by the appointed communication terminal according to the set identity information of the communication terminal, and intercepts the voice signal sent by the communication terminal.
Preferably, the analyzing and processing of the acquired voice signal by the management terminal includes:
the management terminal carries out semantic analysis processing according to the acquired voice signal, acquires a text recognition result corresponding to the voice signal, carries out abnormal keyword analysis according to the acquired text recognition result, and carries out abnormal marking on the acquired voice signal if the text recognition result contains abnormal keywords.
Preferably, the method further comprises:
and the management terminal performs storage management on the acquired voice signals.
Preferably, the semantic analysis processing is performed by the management terminal according to the acquired voice signal, and the semantic analysis processing specifically includes:
the management terminal performs end point detection on the acquired voice signal to acquire a voice part of the voice signal;
carrying out noise reduction processing on the acquired voice part to acquire a noise-reduced voice part;
performing feature extraction processing on the voice part subjected to noise reduction to obtain feature parameters of the voice part;
inputting the feature parameters of the voice part into the trained semantic recognition model to acquire the corresponding text information of the voice part;
and combining the acquired character information into a text recognition result of the voice signal.
The present invention also shows a communication terminal information detection device, comprising: a management and control base station and a management terminal;
the management and control base station is used for detecting the communication terminal in the service cell and acquiring the identity information of the communication terminal;
the management and control base station is also used for sending an access request to the communication terminal in the service cell, so that the communication terminal can access the management and control base station after receiving the access request, and the management and control base station is connected with and accesses the operator network;
the management and control base station comprises a reconnaissance module, wherein the reconnaissance module is used for intercepting voice signals sent by a communication terminal which is accessed into the management and control base station, intercepting the voice signals sent by the communication terminal and storing the voice signals to a management terminal;
and the management terminal is used for analyzing and processing the acquired voice signals and sending alarm information when abnormality is detected.
The invention has the beneficial effects that: the control base station is arranged to uniformly detect the accessed communication terminals, the uplink voice signals and the downlink voice signals of the communication terminals can be detected, the intercepted voice signals are uniformly managed and intelligently analyzed through the management terminal, and the intelligent level of information detection on the communication terminals in specific occasions can be effectively improved.
Drawings
The invention is further illustrated by means of the attached drawings, but the embodiments in the drawings do not constitute any limitation to the invention, and for a person skilled in the art, without inventive effort, further drawings may be derived from the following figures.
Fig. 1 is a flowchart of a method of detecting information of a communication terminal according to an embodiment of the present invention.
Detailed Description
The invention is further described in connection with the following application scenarios.
The communication terminal information detection method shown in the embodiment of fig. 1 includes:
1) The management and control base station detects the communication terminal in the service cell and acquires the identity information of the communication terminal;
2) The management and control base station sends an access request to a communication terminal in the service cell, so that the communication terminal can access the management and control base station after receiving the access request, and the management and control base station is connected with and accesses an operator network;
3) A reconnaissance module arranged in the management and control base station monitors voice signals sent and received by the accessed communication terminal, intercepts the voice signals sent and received by the communication terminal and stores the voice signals to a management terminal;
4) And the management terminal analyzes and processes the acquired voice signals and sends out alarm information when abnormality is detected.
In the above embodiment, the communication terminals in the serving cell are directly and uniformly detected by the configured management and control base station, and the identity information of the communication terminals is obtained based on the uplink information sent by the communication terminals; then sending an access request to a communication terminal in the service cell, after the communication terminal receives the access request, establishing connection between the communication terminal and the control base station, and normally accessing a corresponding operator network through the control base station to realize normal conversation and data transmission; meanwhile, the monitoring module is arranged in the control base station to uniformly monitor the uplink voice signal sent by the communication terminal and the downlink voice signal received by the communication terminal, and the monitoring terminal is used for monitoring the intercepted voice signal through the management terminal, so that the monitoring and evidence storage management of the voice signal sent and received by the communication terminal are facilitated, and the acquired data are further processed conveniently.
In an exemplary scenario, the access request sent by the management and control base station includes an interception request, which includes interception information, so that the communication terminal can select whether to join the management and control base station according to the interception information.
In an exemplary scenario, the management and control base station captures downlink communication of the non-access communication terminal, so as to limit communication service between the non-access communication terminal and the public network.
In an exemplary scenario, a management and control base station broadcasts an access request to a serving cell for a communication terminal in the serving cell to perform corresponding access or no access operation.
The control base station is arranged to uniformly detect the accessed communication terminals, so that uplink voice signals and downlink voice signals of the communication terminals can be detected, the intercepted voice signals are further uniformly managed and intelligently analyzed through the management terminal, and the intelligent level of information detection on the communication terminals in specific occasions can be effectively improved.
Preferably, the monitoring module provided in the management and control base station monitors the voice signal sent and received by the accessed communication terminal, including:
the control base station monitors the voice signal sent by the appointed communication terminal according to the set identity information of the communication terminal, and intercepts and captures the voice signal sent and received by the communication terminal.
Preferably, the analyzing and processing of the acquired voice signal by the management terminal includes:
the management terminal carries out semantic analysis processing according to the acquired voice signal, acquires a text recognition result corresponding to the voice signal, carries out abnormal keyword analysis according to the acquired text recognition result, and carries out abnormal marking on the acquired voice signal if the text recognition result contains abnormal keywords.
Preferably, the method further comprises:
and the management terminal performs storage management on the acquired voice signals.
Preferably, the semantic analysis processing is performed by the management terminal according to the acquired voice signal, and the semantic analysis processing specifically includes:
1) The management terminal carries out end point detection on the acquired voice signal to acquire a voice part of the voice signal;
2) Carrying out noise reduction processing on the acquired voice part to acquire a noise-reduced voice part;
3) Performing feature extraction processing on the voice part subjected to noise reduction to obtain feature parameters of the voice part;
4) Inputting the feature parameters of the voice part into the trained semantic recognition model to acquire the corresponding text information of the voice part;
5) And combining the acquired character information into a text recognition result of the voice signal.
In the above embodiment, a technical solution for performing intelligent semantic analysis on an acquired voice signal through a management terminal is provided, in the technical solution, end point detection is performed on the acquired voice signal to acquire a voice part of the voice signal, noise reduction processing is performed on the acquired voice part at the same time, feature parameter extraction is performed according to the voice part subjected to the noise reduction processing to acquire feature parameters corresponding to the voice part, the feature parameters are input into a pre-trained semantic recognition model, corresponding text information is input through the semantic recognition model, and further the text information of each voice part is combined to obtain a text recognition result subjected to voice washing. Meanwhile, whether abnormal keywords (such as sensitive words) appear in the text recognition result (namely the corresponding text content of the voice signal) is further detected according to the acquired text recognition result, if the abnormal keywords exist in the text recognition result, the voice signal is abnormally marked through the management terminal, so that a manager can be helped to call the voice signal with the abnormal marks from the management terminal to listen, and whether the content contained in the voice signal is abnormal is further judged. The voice recognition method and the voice recognition device are beneficial to carrying out preliminary abnormity judgment on the acquired voice signals in an intelligent mode, and the intelligent level is improved.
Preferably, the performing, by the management terminal, endpoint detection on the acquired voice signal to acquire a voice part of the voice signal in the semantic analysis process performed on the acquired voice signal specifically includes:
performing framing and windowing processing on the acquired voice signals, acquiring voice signal frames G (N) of the voice signals, wherein N =1,2, \ 8230, N and N represent the total number of frames of the voice signals, and G (N) represents the nth frame of voice signals;
performing discrete Fourier transform on each frame of voice signal to obtain frequency spectrum C of each frame of voice signal n ,C n A spectrum representing the nth frame speech signal;
respectively obtaining the endpoint characteristic value of each frame of voice signal, wherein the adopted endpoint characteristic value calculation function is as follows:
wherein, β (n) represents the endpoint characteristic value of the nth frame voice signal, G (n, M) represents the amplitude of the mth sampling point of the nth frame voice signal, G (n, max) and G (n, min) respectively represent the maximum value and the minimum value of the amplitude of each sampling point in the nth frame voice signal, and M represents the total number of the sampling points in the nth frame voice signal; μ denotes a set time-domain characteristic adjustment factor, C n (k) Representing the spectral energy of the k-th sub-band in the spectrum of the n-th frame of speech signal, C n (mean) represents the average value of the spectrum energy of each sub-band in the spectrum of the nth frame of voice signal, K represents the total number of sub-bands in the spectrum of the nth frame of voice signal, and delta represents the set frequency domain characteristic adjustment factor;
sequentially traversing each frame of the voice signal according to the endpoint characteristic value of the voice signal of each frame, comparing the endpoint characteristic value corresponding to each frame of the voice signal with a set threshold value, marking a first frame of voice signal in the continuous a-frame voice signal as a voice initial frame when detecting that the endpoint characteristic values of the continuous a-frame voice signal are all larger than the set threshold value, and continuously traversing backwards; when detecting that the end characteristic values of the continuous a-frame voice signals are all smaller than the set threshold value, marking the a-th frame voice signal in the continuous a-frame voice signals as a voice termination frame, and marking each frame voice signal between the voice start frame and the voice termination frame as a voice part.
After the voice termination frame is marked, the backward traversal is continued, and the next voice part is continuously detected until the traversal of all the frame voice signals is completed.
In a conventional method for detecting an endpoint of a speech signal, noise interference is usually removed by spectral subtraction and then the method is performed according to a zero crossing rate, but in this method, corresponding adjustment cannot be performed on each segment of the speech signal, for example, types of noise interference included in a first segment and a last segment of the speech signal are different. In the technical scheme, the amplitude of the time domain voice signal is used for reflecting the characteristics of the frame voice signal, and the comprehensive evaluation is performed to judge the voice endpoint so as to obtain the voice part in the voice signal by combining the energy of each sub-band spectrum in the spectrum to reflect whether the noise contains the voice part, so that the accuracy of voice part detection is improved. And a foundation is laid for the further semantic recognition operation of the management terminal according to the acquired voice signal.
Preferably, the noise reduction processing is performed on the acquired speech portion, and the acquiring the noise-reduced speech portion specifically includes:
performing primary wavelet decomposition on the voice signal based on the set wavelet basis to obtain corresponding high-frequency wavelet coefficients and low-frequency wavelet coefficients;
carrying out threshold processing on the obtained high-frequency wavelet coefficient, wherein the adopted threshold processing function is as follows:
in the formula (I), the compound is shown in the specification,
denotes the r-th high-frequency wavelet coefficient after thresholding, and gamma (r) denotes the r-th high-frequency wavelet coefficient obtained based on wavelet decompositionFrequency wavelet coefficient, tau represents a set threshold value, omega represents a set adjustment factor, wherein
Sigma represents noise standard deviation estimation, theta represents the variance of the high-frequency wavelet coefficient, L represents the length of the high-frequency wavelet coefficient, and sgn (·) represents a sign function;
and reconstructing the low-frequency wavelet coefficient and the high-frequency wavelet coefficient after threshold processing to obtain a voice part after noise reduction.
In the above embodiment, the noise reduction processing based on wavelet decomposition is adopted for the voice portion, wherein the threshold processing is performed on the high-frequency wavelet coefficient, and an improved threshold processing function is provided, and the wavelet coefficient with a larger value can be attached to the function for suppression processing, so that noise interference contained in the voice portion is removed, and the denoising effect is good.
In addition, the present invention also shows a communication terminal information detection device including: a management and control base station and a management terminal;
the management and control base station is used for detecting the communication terminal in the service cell and acquiring the identity information of the communication terminal;
the management and control base station is also used for sending an access request to the communication terminal in the service cell, so that the communication terminal can access the management and control base station after receiving the access request, and the management and control base station is connected with and accesses the operator network;
the management and control base station comprises a reconnaissance module, wherein the reconnaissance module is used for intercepting voice signals sent by a communication terminal which is accessed into the management and control base station, intercepting the voice signals sent by the communication terminal and storing the voice signals to a management terminal;
and the management terminal is used for analyzing and processing the acquired voice signals and sending alarm information when abnormality is detected.
It should be noted that, the present apparatus is used for implementing the functions of the method, and each module in the apparatus corresponds to the steps of the method, and is capable of implementing different embodiments in the method, and specifically, reference may be made to the description of the method above, and details of the method are not described here.
It should be noted that, functional units/modules in the embodiments of the present invention may be integrated into one processing unit/module, or each unit/module may exist alone physically, or two or more units/modules are integrated into one unit/module. The integrated units/modules may be implemented in the form of hardware, or may be implemented in the form of software functional units/modules.
From the above description of embodiments, it is clear for a person skilled in the art that the embodiments described herein can be implemented in hardware, software, firmware, middleware, code or any appropriate combination thereof. For a hardware implementation, a processor may be implemented in one or more of the following units: an Application Specific Integrated Circuit (ASIC), a Digital Signal Processor (DSP), a Digital Signal Processing Device (DSPD), a Programmable Logic Device (PLD), a Field Programmable Gate Array (FPGA), a processor, a controller, a microcontroller, a microprocessor, other electronic units designed to perform the functions described herein, or a combination thereof. For a software implementation, some or all of the procedures of an embodiment may be performed by a computer program instructing associated hardware. In practice, the program may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a computer. Computer-readable media can include, but is not limited to, RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer.
Finally, it should be noted that the above embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the protection scope of the present invention, although the present invention is described in detail with reference to the preferred embodiments, it should be analyzed by those skilled in the art that modifications or equivalent substitutions can 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 (3)
1. The communication terminal information detection method is characterized by comprising the following steps:
the management and control base station detects the communication terminal in the service cell and acquires the identity information of the communication terminal;
the management and control base station sends an access request to a communication terminal in the service cell, so that the communication terminal can access the management and control base station after receiving the access request, and the management and control base station is connected with and accesses an operator network;
a reconnaissance module arranged in the management and control base station monitors voice signals sent by the accessed communication terminal, intercepts the voice signals sent by the communication terminal and stores the voice signals to a management terminal;
the management terminal analyzes and processes the acquired voice signal, and sends out alarm information when abnormality is detected;
the reconnaissance module that sets up in the management and control base station listens to the speech signal that communication terminal sent that has accessed, include:
the management and control base station monitors the voice signal sent by the appointed communication terminal according to the set identity information of the communication terminal, and intercepts the voice signal sent by the communication terminal;
the management terminal analyzes and processes the acquired voice signal, and comprises the following steps:
the management terminal carries out semantic analysis processing according to the acquired voice signal, acquires a text recognition result corresponding to the voice signal, carries out abnormal keyword analysis according to the acquired text recognition result, and carries out abnormal marking on the acquired voice signal if the text recognition result contains abnormal keywords;
the management terminal performs semantic analysis processing according to the acquired voice signal, and specifically includes:
the management terminal performs end point detection on the acquired voice signal to acquire a voice part of the voice signal;
performing noise reduction processing on the acquired voice part to acquire a noise-reduced voice part;
performing feature extraction processing on the voice part subjected to noise reduction to obtain feature parameters of the voice part;
inputting the feature parameters of the voice part into the trained semantic recognition model to acquire the corresponding text information of the voice part;
combining the acquired character information into a text recognition result of the voice signal;
the processing terminal performs end point detection on the acquired voice signal to acquire a voice part of the voice signal in semantic analysis processing according to the acquired voice signal, and the processing terminal specifically includes:
performing framing and windowing processing on the acquired voice signals, acquiring voice signal frames G (N) of the voice signals, wherein N =1,2, \ 8230, N and N represent the total number of frames of the voice signals, and G (N) represents the nth frame of voice signals;
performing discrete Fourier transform on each frame of voice signal to obtain a frequency spectrum C of each frame of voice signal n ,C n A spectrum representing the nth frame speech signal;
respectively acquiring the endpoint characteristic values of the voice signals of each frame, wherein the adopted endpoint characteristic value calculation function is as follows:
wherein, β (n) represents the endpoint characteristic value of the nth frame voice signal, G (n, M) represents the amplitude of the mth sampling point of the nth frame voice signal, G (n, max) and G (n, min) respectively represent the maximum value and the minimum value of the amplitude of each sampling point in the nth frame voice signal, and M represents the total number of the sampling points in the nth frame voice signal; μ denotes a set time-domain characteristic adjustment factor, C n (k) Representing the energy of the k subband spectrum in the spectrum of the n frame speech signal, C n (mean) represents the average value of the spectrum energy of each sub-band in the spectrum of the nth frame of voice signal, K represents the total number of sub-bands in the spectrum of the nth frame of voice signal, and delta represents the set frequency domain characteristic adjustment factor;
sequentially traversing each frame of the voice signal according to the endpoint characteristic value of the voice signal of each frame, comparing the endpoint characteristic value corresponding to each frame of the voice signal with a set threshold value, marking a first frame of voice signal in the continuous a-frame voice signal as a voice initial frame when detecting that the endpoint characteristic values of the continuous a-frame voice signal are all larger than the set threshold value, and continuously traversing backwards; when detecting that the end characteristic values of the continuous a-frame voice signals are all smaller than the set threshold value, marking the a-th frame voice signal in the continuous a-frame voice signals as a voice termination frame, and marking each frame voice signal between the voice start frame and the voice termination frame as a voice part.
2. The method as claimed in claim 1, further comprising:
and the management terminal performs storage management on the acquired voice signals.
3. Communication terminal information detection apparatus, characterized in that it is adapted to implement the communication terminal information detection method according to any of the preceding claims 1-2.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011524289.9A CN112637833B (en) | 2020-12-21 | 2020-12-21 | Communication terminal information detection method and equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011524289.9A CN112637833B (en) | 2020-12-21 | 2020-12-21 | Communication terminal information detection method and equipment |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112637833A CN112637833A (en) | 2021-04-09 |
| CN112637833B true CN112637833B (en) | 2022-10-11 |
Family
ID=75320563
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011524289.9A Active CN112637833B (en) | 2020-12-21 | 2020-12-21 | Communication terminal information detection method and equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112637833B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113645363B (en) * | 2021-08-11 | 2022-05-17 | 广东电网有限责任公司广州供电局 | Multi-service-scene-oriented internal call sharing service platform device for power enterprises |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1581991A (en) * | 2003-08-07 | 2005-02-16 | 中兴通讯股份有限公司 | Method for searching and determining up wireless channel time interval position |
| WO2015034633A1 (en) * | 2013-09-06 | 2015-03-12 | Nuance Communications, Inc. | Method for non-intrusive acoustic parameter estimation |
| CN105957520A (en) * | 2016-07-04 | 2016-09-21 | 北京邮电大学 | Voice state detection method suitable for echo cancellation system |
| CN107564512A (en) * | 2016-06-30 | 2018-01-09 | 展讯通信（上海）有限公司 | Voice activity detection method and device |
Family Cites Families (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101068428A (en) * | 2007-06-07 | 2007-11-07 | ***通信集团福建有限公司 | Apparatus for attacking illegal telephone traffic |
| CN102056210B (en) * | 2009-11-09 | 2014-06-04 | ***通信集团甘肃有限公司 | Network quality monitoring method and device |
| CN103260152B (en) * | 2012-02-20 | 2016-08-03 | 东南大学常州研究院 | The equipment of a kind of mobile terminal sound communication safety supervision and method |
| CN103648107A (en) * | 2013-11-29 | 2014-03-19 | 东南大学常州研究院 | A method for simultaneously supervising voice and short message communication of a mobile terminal in real time |
| CN104980953A (en) * | 2015-05-27 | 2015-10-14 | 中国科学院信息工程研究所 | Controlling method and system of terminal boundary |
| CN104980954B (en) * | 2015-05-27 | 2020-06-09 | 中国科学院信息工程研究所 | Real-time control method of terminal and base station control module |
| KR102505347B1 (en) * | 2015-07-16 | 2023-03-03 | 삼성전자주식회사 | Method and Apparatus for alarming user interest voice |
| CN105142142A (en) * | 2015-08-25 | 2015-12-09 | 中国科学院信息工程研究所 | All-system cellphone terminal control method and device |
| PL3573304T3 (en) * | 2018-05-23 | 2022-07-04 | Exfo Oy | Method and arrangement for detecting subscriber identity |
| GB2576576B (en) * | 2018-08-24 | 2021-03-03 | British Telecomm | Identification of channels in a wireless network |
| CN110782625A (en) * | 2018-12-17 | 2020-02-11 | 北京嘀嘀无限科技发展有限公司 | Riding safety alarm method and device, electronic equipment and storage medium |
-
2020
- 2020-12-21 CN CN202011524289.9A patent/CN112637833B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1581991A (en) * | 2003-08-07 | 2005-02-16 | 中兴通讯股份有限公司 | Method for searching and determining up wireless channel time interval position |
| WO2015034633A1 (en) * | 2013-09-06 | 2015-03-12 | Nuance Communications, Inc. | Method for non-intrusive acoustic parameter estimation |
| CN107564512A (en) * | 2016-06-30 | 2018-01-09 | 展讯通信（上海）有限公司 | Voice activity detection method and device |
| CN105957520A (en) * | 2016-07-04 | 2016-09-21 | 北京邮电大学 | Voice state detection method suitable for echo cancellation system |
Non-Patent Citations (3)
| Title |
|---|
| 低信噪比环境下语音信号端点检测算法;何蓉蓉;《信息科技》;20190115;全文 * |
| 基于语音端点检测的移动设备无障碍出行服务助手的研究与实现;杨晓海;《信息科技》;20171115;全文 * |
| 音频监听***中活动语音信号检测技术研究;路瑞茜;《信息科技》;20170515;全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112637833A (en) | 2021-04-09 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US8184816B2 (en) | Systems and methods for detecting wind noise using multiple audio sources | |
| CA2527461C (en) | Reverberation estimation and suppression system | |
| CN110706693B (en) | Method and device for determining voice endpoint, storage medium and electronic device | |
| CN108597505B (en) | Voice recognition method and device and terminal equipment | |
| CN105657110B (en) | Echo cancellation method and device for voice communication | |
| CN110853664B (en) | Method and device for evaluating performance of speech enhancement algorithm and electronic equipment | |
| CN101010722A (en) | Detection of voice activity in an audio signal | |
| CN112017693B (en) | Audio quality assessment method and device | |
| CN104464722A (en) | Voice activity detection method and equipment based on time domain and frequency domain | |
| JP6833616B2 (en) | Echo suppression device, echo suppression method and echo suppression program | |
| CN112637833B (en) | Communication terminal information detection method and equipment | |
| NO324318B1 (en) | Method and apparatus for noise detection. | |
| WO2018118943A1 (en) | Echo cancellation for keyword spotting | |
| US20150325252A1 (en) | Method and device for eliminating noise, and mobile terminal | |
| CN113593599A (en) | Method for removing noise signal in voice signal | |
| CN112997249B (en) | Voice processing method, device, storage medium and electronic equipment | |
| CN112802490B (en) | Beam forming method and device based on microphone array | |
| CN113271430B (en) | Anti-interference method, system, equipment and storage medium in network video conference | |
| US8838445B1 (en) | Method of removing contamination in acoustic noise measurements | |
| WO2018133247A1 (en) | Abnormal sound detection method and apparatus | |
| CN111081269B (en) | Noise detection method and system in call process | |
| US20230186943A1 (en) | Voice activity detection method and apparatus, and storage medium | |
| CN112216285B (en) | Multi-user session detection method, system, mobile terminal and storage medium | |
| US11601750B2 (en) | Microphone control based on speech direction | |
| CN112165558A (en) | Method and device for detecting double-talk state, storage medium and terminal equipment |
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 |