1862 results about "Telephony" patented technology

Locator systems are disclosed for locating buried utilities such as conduits, cables, pipes. or wires. The locator system may include image-capturing and position and orientation measuring devices such as magnetic compass, accelerometers, gyros, GPS, and DGPS. The system may associate images captured during the locate process with buried utility position data and the other sensor data. These data and images may be further associated with terrain images from satellites or aerial photography to provide a highly precision map and database of buried utility locations and visual images of the burial site. Information so obtained may be transferred to a hand-held personal communication device, such as a smart phone to show the location of buried utilities in combination with photo-images and / or terrain maps.

The embodiment of the invention provides a fraud phone real-time recognition method and device based on AI semantic understanding, and the method and device achieve the precise understanding of the dialogue content through the innovative construction of a voice analysis mechanism, the grammatical feature extraction and the semantic role marking. And designing a scene discrimination model based on verbal skill recognition, and establishing a fraud verbal skill recognition strategy for intelligent classification in combination with semantic pattern matching and hierarchical clustering algorithms. A residual fusion assessment mechanism is introduced, and accurate assessment and timely prevention and control of call risks are realized through historical case feature fusion and risk scoring. According to the method, the defects of the traditional technology in the aspects of speech understanding, verbal skill recognition, risk assessment and the like are effectively overcome, and the accuracy and reliability of fraud phone recognition are remarkably improved.

The invention discloses a sewage monitoring and early warning method and system, and aims to solve the problems of lagging and high misjudgment rate of traditional monitoring. The multi-modal acquisition module acquires water quality parameters, equipment states and pipe network data in real time through a distributed sensor network, a timestamp is calibrated through linear interpolation of a dynamic analysis engine, spatial features are extracted through concentration gradient calculation, and data are cleaned in combination with Kalman filtering and an isolated forest algorithm. And the intelligent analysis and decision module mines time sequence features based on the LSTM model and outputs pollution level indexes. And the grading response execution module triggers early warning according to three-level threshold values: a first-level APP pushes data, a second-level superposition short message and a third-level telephone alarm and links equipment, a standby purification device is started within 10 seconds, and a WebGL visual diffusion report is synchronously generated. The system constructs an acquisition-analysis-decision-response closed loop which is suitable for industrial and urban pipe network scenes.

The invention discloses a dynamic concurrency control and resource optimization method of a smart phone outbound system. According to the method, the calling resources are dynamically allocated through the multi-dimensional weight model, and line loads and risk management and control are effectively balanced on the premise of ensuring compliance requirements of operators. Real-time state monitoring of the calling number is combined with an intelligent cooling strategy, so that a risk control mechanism is prevented from being triggered by overuse of a single line, and high-efficiency access of high-value customers is ensured through priority scheduling. The concurrency scale and the calling rhythm are accurately controlled through double constraints of the double-token mechanism, the instant flow is prevented from impacting the bearing limit of the system, it is ensured that the outbound call rate is always within the safety threshold value of an operator, and therefore the call failure rate and resource waste are greatly reduced. A parameter optimization mechanism based on dynamic feedback can automatically adjust a resource allocation strategy according to historical data and operation environment changes, for example, rate limitation is temporarily relaxed and remainder smooth scheduling is started in a burst traffic scene, so that smooth transition of a service peak value is realized.

A computerized-method for providing personalized-content for an interaction of an agent with a customer during an outbound conversational-marketing-campaign of a tenant operated via a cloud-based contact-center-platform. The computerized-method includes: (i) receiving details of the customer and details of the outbound conversational-marketing-campaign of the tenant; (ii) creating a prompt-text based on the received details of the customer and the details of the outbound conversational-marketing-campaign; (iii) generating the personalized content for the interaction with the customer in text-format by executing an LLM AI engine with a trained model with the created prompt-text; (iv) storing a text-file with the generated personalized content in text-format in a contents-database; (v) initiating the interaction of the agent by dialing to the customer; (vi) retrieving the text-file for the interaction from the contents-database; and (vii) sending the text-file to a computerized-device of the agent to be presented via a display-unit that is associated to the computerized-device.

The invention relates to the technical field of construction intelligent monitoring, in particular to a building construction remote intelligent monitoring system based on 5G telephone communication and edge computing. Comprising an on-site sensing unit; the edge processing unit is used for realizing accurate integration of heterogeneous data through an improved self-adaptive weighted fusion algorithm and generating a real-time control strategy in combination with a working condition dynamic model; the 5G communication unit is combined with predictive slice scheduling and a multi-mode anti-interference protocol; and a remote monitoring unit. The industrial-grade sensor array is adopted to collect related data, a monitoring data stream with a timestamp and marked with an abnormal identifier is generated, meanwhile, an edge processing unit complements abnormal data through a data preprocessing module, heterogeneous data integration is achieved through an improved self-adaptive weighted fusion algorithm, and the data processing efficiency is improved. According to the method, the problems that the data processing architecture and the construction multi-source data characteristics are insufficient in adaptation and data validity tracing is missing are effectively solved, and effective tracing and accurate integration of the construction scene multi-dimensional monitoring data are achieved.

Some embodiments provide a method for initiating a video conference using a first mobile device. The method presents, during an audio call through a wireless communication network with a second device, a selectable user-interface (UI) item on the first mobile device for switching from the audio call to the video conference. The method receives a selection of the selectable UI item. The method initiates the video conference without terminating the audio call. The method terminates the audio call before allowing the first and second devices to present audio and video data exchanged through the video conference.

An automatic online voice translation system and method, comprising a virtual translator, a SIP gateway, and a storage, wherein the SIP gateway receives a call from a caller, when the virtual translator is not activated, the SIP gateway establishes a communication between the caller and the agent by streaming in real-time caller's voice directly to the agent and agent's voice directly to the caller, and when the virtual translator is activated, the SIP gateway creates audio files based on the received voice streams of both the caller and the agent, and sends the created audio files to the virtual translator for translating the caller's voice into a language understood by the agent, before transmitting the voice to the agent. In another embodiment, a contact center platform is used for applying features such as call recording, Interactive Voice Response (IVR) service, and conferencing service to the call.

The invention belongs to the field of intelligent information system management, and particularly discloses an intelligent voice telephone robot system and method, voice and image multi-mode data are collected through a microphone and a camera, and after preprocessing, voice, emotion and semantic features are fused through an improved Transform architecture to achieve accurate recognition of user intentions; a double-layer decision network based on reinforcement learning is combined with a dynamic reward function to generate an optimal response strategy; and realizing rapid task migration and parameter optimization of the model by adopting a meta-learning mechanism. The system also has the functions of adaptive noise robustness, multi-language interaction, user portrait dynamic updating, man-machine collaboration and the like. Compared with a traditional scheme, the intention recognition accuracy, the task completion rate and the scene adaptability are remarkably improved, the interaction experience is effectively improved, and the method can be widely applied to the fields of customer service, intelligent marketing and the like.

The invention provides a non-autoregressive end-to-end dialect recognition method for a power supply service telephone system. The method comprises the following steps of dual-track telephone recording corpus preprocessing, automatic pre-labeling and context construction, manual labeling and dialect word library construction, dialect sub-area division and classification modeling, and dialect recognition model training and optimization. Based on the ffmpeg audio processing tool, the standardization and automation level of voice data processing in a telephone system scene is improved, and the manual annotation efficiency is greatly improved. And meanwhile, aiming at the problems that dialects are various in type, significant in difference and the like, a unified dialect labeling rule system is constructed, a model training process is optimized in combination with a transfer learning strategy, and the robustness and generalization ability of the model in a complex telephone voice environment are enhanced while high accuracy is ensured.

Kiosk systems and methods for vending mobile phones and other electronic devices to, and / or for purchasing mobile phones and other electronic devices from, consumers are disclosed herein. In some embodiments, such systems can include subsystems for preparing purchased mobile phones for resale, moving mobile phones between different processing stations, transferring data from, e.g., an old phone to a newly purchased phone, etc. In some embodiments, the kiosk systems disclosed herein can purchase a mobile phone from one consumer, process the mobile phone for resale (e.g., by removing personal data, etc.), and then sell the mobile phone to another consumer.

The invention belongs to the technical field of communication, and discloses a communication system supporting NB-IOT voice service, which comprises a terminal, a base station, a core network and an IMS server, wherein the terminal, the base station and the core network all support NB-IOT voice services, the terminal is connected with the base station through a Uu interface, the base station is connected with the core network and the IMS server through an S1 interface, and the terminal is connected with the core network through an Nas logic interface; the terminal is used for initiating and receiving an IMS voice call, supporting establishment of an SIP session with the AS server to complete IMS signaling connection, and establishing a bearer required by IMS voice. According to the invention, the NB-IOT terminal and the NB-IOT base station support measurement and switching functions, so that the voice service continuity is ensured; qCI1 and 5 voice bearing and SIP session processing are established in an NB-IOT terminal, a base station and a core network, and it is ensured that a transmission channel is established for a control plane service and a data plane service of voice; the base station supports voice uplink pre-scheduling, so that the problem of insufficient uplink scheduling capability of the base station is solved.

Telephone calls can be intelligently delivered with identity attributes as described herein. In one example, a system can receives communication associated with a caller requesting to make a telephone call to a recipient, where the communication includes a recipient identifier associated with the recipient. The system can determine a terminating telecommunication service provider (TTSP) to which the telephone number is assigned. The system can then determine identification options available at the TTSP, where each identification option can be configured to provide one or more identity attributes associated with the caller to the recipient. The system can select one or more of the identification options based on a predefined policy and modify the communication to include the one or more identity attributes associated with the one or more selected identification options, thereby producing a modified communication. The system can then transmit the modified communication along a call route to the TTSP.

A method and system for limiting mobile device functionality when the mobile device is located in a pre-defined fixed geographic area. The mobile device may receive a local disabling signal from a disabling device, which, when detected by a Device Owner Application resident on the mobile device, limits the mobile device functionality. Alternatively, the system may use GPS based geofencing to determine that the mobile device is in a predefined geographic area, and then transmit instructions to the mobile device, where a Device Owner Application operates to restrict the mobile device functionality. Mobile device functionality may be limited by restricting the mobile device's ability to send and receive text messages, email messages and phone calls; restricting the mobile device's ability to respond to user input; restricting the mobile device's ability to utilize a web browser; and restricting the mobile device's web browser from accessing predetermined web sites.

Systems and processes are disclosed to leverage conversational AI across voice and digital channels by automating employee interactions with clients to deliver humanized experiences with speed and accuracy. Live phone conversation. Transcriptions between clients and agents are generated. AI assist provides automation based on client interactions. Prompts are provided to speak to customers. Real time updates and summaries are sent to client devices and streamed to customize agent sessions. Auto navigation of agent views and manipulations of the agent screen are optimized by AI. Instant client validations are enabled via audible and visual confirmations on client devices. Various other AI implementations for improved processing our similarly disclosed.

The invention provides an intelligent conference management system, method and device based on a large model and a medium, and belongs to the technical field of computers. The system comprises a pre-meeting module used for automatically generating and sending a meeting invitation through an integrated enterprise schedule system, using telephone notification and IVR interaction to confirm a meeting participation form, and counting a meeting participation condition and a meeting arrival state; the in-conference module is used for collecting multi-source audios based on a microphone array in the conference process, transferring conference content in real time and generating subtitles in combination with a voice recognition technology, synchronously recording videos, recording process information of the conference, and performing structured analysis; and the post-conference module is used for extracting key indication information and backlogs in the process information of the conference, generating a standardized conference summary, automatically distributing tasks, tracking the progress and supporting semantic retrieval of historical conference records. According to the invention, a large model technology is utilized, and technologies of cloud computing, big data, artificial intelligence and the like are combined, so that automatic management of the whole conference process is realized.

The invention discloses an offline multi-channel customer demand processing system based on grid control. According to the system, a layered system and a multi-module cooperation mode are adopted, WeChat, phone and other multi-channel customer appeal data are collected through the data collection layer, and after cleaning and fusion are conducted through the data processing layer, the functions of work order control, service quality analysis and the like are achieved through the service logic layer. The system utilizes a plurality of advanced algorithms, such as natural language processing, voice recognition, intelligent work order distribution and other technologies, improves the appeal processing efficiency and quality, constructs a service quality evaluation model, and carries out risk prediction and intelligent decision making. In the aspect of performance, a cache and distributed architecture is adopted to guarantee the response speed and the concurrent processing capability, and good expansibility and compatibility are achieved. In addition, data security and privacy protection are ensured through an AES encryption algorithm and a block chain technology, and an algorithm model is optimized regularly. The system effectively solves the problem of a traditional service mode, and improves the service level and customer satisfaction of a power enterprise.

Embodiments described herein provide for a voice biometrics system execute machine-learning architectures capable of passive, active, continuous, or static operations, or a combination thereof. Systems passively and / or continuously, in some cases in addition to actively and / or statically, enrolling speakers as the speakers speak into or around an edge device (e.g., car, television, radio, phone). The system identifies users on the fly without requiring a new speaker to mirror prompted utterances for reconfiguring operations. The system manages speaker profiles as speakers provide utterances to the system. Machine-learning architectures implement a passive and continuous voice biometrics system, possibly without knowledge of speaker identities. The system creates identities in an unsupervised manner, sometimes passively enrolling and recognizing known or unknown speakers. The system offers personalization and security across a wide range of applications, including media content for over-the-top services and IoT devices (e.g., personal assistants, vehicles), and call centers.

Embodiments as disclosed provide data processing systems and methods for controlling an automated survey system. One embodiment comprises: a processor; a data store storing a plurality of transactions thereon, each transaction comprising transaction metadata and a voice session recording of an inbound call, the transaction metadata for each transaction comprising an identifier for that transaction; a non-transitory computer readable medium having instructions executable on the processor for: generating, by the processor, a worklist for the survey campaign to control conducting of surveys by an automated survey system that is configured to execute the worklist, the worklist comprising a work item for each of the set of transactions and each work item comprising transaction identification data for a transaction from the set of transactions and contact information for the survey target for the transaction corresponding to the transaction identification data in the work item.

A method of verifying that incoming telephone calls to respective customers originate from a business entity known to the customers that includes: receiving data transmitted from a customer application on a first customer device that notifies of a triggering event occurring; generating a business-side version of the verification code for use in association with the first authentication attempt; generating, by the first customer device, a customer-side version of the verification code for use in association with the first authentication attempt; generating a user interface showing the customer-side version of the verification code; and transmitting the generated business-side version of the verification code to a first agent device for authenticating that the first telephone call originates from a first business entity by enabling a comparison verifying that the customer-side version and the business-side version of the verification code are equal.

The system provides a voice command recommendation to a user to avoid a non-voice command. The system determines a command that is expected to be received, and generates a voice command recommendation that corresponds to the predicted command. The predicted command can be based on the user's behavior, a plurality of users' behavior, environmental circumstances such as a phone call ring, or a combination thereof. The system may access one or more databases to determine the predicted command. The voice command recommendation may include a displayed notification that describes the recommended voice command, and exemplary voice inputs that are recognized. The system also activates an audio interface, such as a microphone, that is configured to receive a voice input. If the system receives a recognizable voice input at the audio interface that corresponds to the recommendation, the system performs the predicted command in response to receiving the voice input.

Customers of a software platform, such as a unified communications as a service platform, are enabled to control their own encryption keys used to encrypt and decrypt data from various communication services in the software platform. A key connector service is used to coordinate communications with a key management server for generating plaintext keys for data encryption and encrypted keys based on the plain text keys, and with a key broker server for storing and retrieving copies of the encrypted keys. A context identifier may be associated with an encrypted key and used to track which data has been encrypted with an underlying plaintext key. Examples of data encrypted may include conference recordings, webinar recordings, phone call recordings, voicemails, emails, and calendar tokens.

The invention discloses an intelligent recognition processing method for coal mine underground dispatching telephone voice, which comprises an intelligent sensing module and an intelligent analysis module, and is characterized in that the intelligent sensing module comprises an information recognition component, so that coal mine dispatching voice information is recognized to obtain a corresponding text; the intelligent analysis module comprises a text classification assembly which is responsible for carrying out text classification on the text information obtained through perception, carrying out classification processing on the text information according to coal mine production categories, and meanwhile, analyzing the emotion of a speaker so as to realize processing aiming at the voice content of the coal mine dispatching telephone; the intelligent analysis module comprises a pre-processing module, and the pre-processing module is used for pre-processing the telephone recording and then carrying out voice recognition on the processed high-quality recording. Compared with the prior art, the method has the advantages that the coal mine underground dispatching telephone voice is intelligently recognized and processed through an artificial intelligence method, and the problems that the underground dispatching voice is difficult to recognize and utilize are solved.

The invention relates to the technical field of telephone communication, and discloses a robust recursive least square adaptive filter based on inverse QR decomposition and a storage medium, and the method comprises the steps: calculating an inner product of an adaptive weight vector at a moment and an input signal vector, and obtaining an output signal at the moment of the adaptive filter; calculating a difference value between the expected signal and the output signal at the moment, obtaining an estimation error signal, and constructing a nonlinear weighting function; recursively updating and acquiring an inverse correlation matrix of the moment input signal vector based on the moment input signal vector and transpose thereof, a nonlinear weighting function, the inverse correlation matrix of the input signal vector and the covariance of the estimated error signal, and constructing a block matrix containing the inverse correlation matrix of the moment input signal vector; inverse QR matrix decomposition and unitary rotation operation are sequentially carried out on the block matrix, an array before inverse QR decomposition and an array after inverse QR decomposition at the moment are obtained, a gain vector at the moment is constructed, and a self-adaptive weight vector at the moment is updated and obtained.

A system for latency-aware orchestration and performance optimization in AI-driven telephone communication, consisting of: a speech capture unit configured to capture an analog audio signal from a telephone interface and convert the analog audio signal into a digital audio signal stream; a feature extraction unit that is operationally coupled with the speech acquisition unit and is configured to generate a feature representation of the digital audio signal stream through spectral decomposition, noise reduction, and temporal segmentation; an AI inference processor communicatively connected to the feature extraction unit, configured to run one or more AI models for automatic speech recognition, natural language understanding, and emotion recognition on the feature representation to generate intermediate results for inference; a latency orchestration controller coupled to the AI ​​inference processor, wherein the latency orchestration controller is configured to monitor latency across multiple processing stages, predict cumulative delay propagation using a hybrid latency estimation model, and orchestrate the execution scheduling of the AI ​​inference processor based on the predicted latency deviation; a performance optimization unit coupled with the latency orchestration controller and configured to dynamically adjust computational accuracy, inference batch size, and feature processing resolution based on latency thresholds and quality constraints set by the latency orchestration controller; and a transmission synchronization array configured to time-align the processed output generated by the AI ​​inference processor and transmit it to a remote communication node, with the transmission synchronization array maintaining deterministic time coordination between successive packets and the orchestrated inference results.

The invention discloses a transaction abnormity detection method and device, electronic equipment and a storage medium, and relates to the technical field of artificial intelligence or other related fields, and the method comprises the steps: collecting cash withdrawal reservation information submitted by a target user through a telephone communication mode under the condition of obtaining the authorization of the target user; analyzing a call record in the cash withdrawal reservation information to obtain cash withdrawal service information; when it is verified that the cash withdrawal amount exceeds the preset amount threshold value, a pre-stored voiceprint library is obtained based on the affiliation website information, and the voiceprint information is compared with the pre-stored voiceprint library; and acquiring historical transaction behavior data based on the attribution network information, inputting the comparison result, the communication voice features and the historical transaction behavior data into an anomaly detection model, outputting an anomaly detection result, and generating reservation feedback information based on the anomaly detection result. Through the method and the device, the technical problem that an abnormal transaction supervision blind area exists due to low sensitivity of a risk monitoring system to a telephone reservation channel identification means in related technologies is solved.

Aspects of the present disclosure are directed to receiving a user phone call and triggering user interactions via an alternative channel in response to the user phone call. Users may call an account service provider with issues related to a user account. To service such a call, the account service provider may prompt the user for information. This information can be analyzed to determine whether the conditions for the user's call are aligned with a shift to a more efficient alternative channel. For example, a guided user workflow via a webpage, application, chat agent, etc. may represent a more efficient deployment of organizational resources. When such conditions are aligned, the account service provider may trigger a selected user interaction workflow for the user call via an alternative channel. The user interaction workflow can comprise a guided workflow that is configured to resolve the user's issue related to the call.

An example operation may include one or more of implementing a trained artificial intelligence (AI) model using a neural network training capability with at least one of call log data of calls determined to have an activity risk, activity risk data, activity context, and model feedback data, capturing audio from an ongoing telephone call, converting the audio from the ongoing telephone call into text, obtaining context of an activity from a computing device, executing the trained AI model to generate an activity risk profile based on the text and the context of the ongoing telephone call, and executing an action during the ongoing telephone call based on the activity risk profile.

Macro-micro gesture detection is provided. Performance of a macro portion of a macro-micro gesture is detected by a mobile device, using phone-as-a-key (PaaK) sensors of a vehicle, the macro-micro gesture requesting invocation of a function of the vehicle. Using one or more inertial measurement unit (IMU) sensors of the mobile device, performance of a micro portion of the macro-micro gesture is detected. Arbitrating is performed to validate that the function of the vehicle is to be performed in view of performance of both the micro portion and the macro portion. The function of the vehicle is invoked responsive to the validation being successful.