Abstract: The sections of the call unnecessary for reproduction are grasped without wasting time and labor. The call recording system includes a call information entry unit to enter operation information of call terminals which is acquired by a call control unit into a terminal operation information table; a recorded information entry unit to enter recorded information of the call which are acquired by a call recording unit into a recorded information table; and a call information reproduction unit to recognize sections unnecessary for reproduction of the recorded information based on the operation information of the call terminals so as to display a reproduction screen including a result on the recognized sections on a display section.

Abstract: Techniques are described for generating metric(s) that predict survey score(s) for a service session. Model(s) may be trained, through supervised or unsupervised machine learning, using training data from previous service sessions between service representative(s) and individual(s). Training data may include, for previous service session(s), a session record (e.g., audio record) of the session and a set of survey scores provided by the serviced individual to rate the session on one or more criteria (e.g., survey questions). The model(s) may be trained to output, based on an input session record, metric(s) that each correspond to a survey score that would have been provided by the individual had they completed the survey. The model may be a concatenated model that is a combination of a language model output from a language classifier recurrent neural network, and an acoustic model output from an acoustic feature layer convolutional neural network.

Abstract: A computer-implemented method and system for streamlining interactions between a customer and a company representative. Information related to a customer is received by a company representative. A predicted future action by the customer is then calculated by a computer process wherein the calculation is based on the received information. The predicted future action is then caused to be displayed on a computer operated by a representative of the company. A conversation plan may be generated according to the information and a business rule which may be displayed on the representative's computer.

Abstract: A conference system is provided that includes a processor configured to provision a plurality of bridge telephone numbers having a plurality of different country codes, and receive a dial-out request for one of a plurality of attendees of a conference meeting for connecting to the conference meeting. The dial-out request includes a target telephone number associated with a communication device of the one of the plurality of attendees. The processor is further configured to select one of the provisioned plurality of bridge telephone numbers based on a result of a match between at least a country code of the selected bridge telephone number and the target telephone number, and cause dial-out to the target telephone number from the selected bridge telephone number.

Abstract: The disclosed computer-implemented method for protecting against outgoing calls to malicious phone numbers may include (1) intercepting, at a computing device, an attempt to initiate an outgoing phone call, (2) disabling, at the computing device and at least temporarily, the attempt, (3) querying a reputation server for a reputation of an outgoing phone number associated with the attempt, (4) receiving, at the computing device, reputation results from the reputation server, and (5) performing a security action comprising displaying, on a user display of the computing device and prior to enabling the attempt, at least a portion of the reputation results. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: Methods for handling traffic between a first network including a virtual communication platform and a second network, such as a circuit-switched network, include inserting customer identifiers into data packets. For traffic sent to the second network, the packets with the identifiers are transmitted to a trunking service that uses the identifier to determine one or more applicable service attributes for handling the data contained within the packets. For data traffic received from the second network, the virtual communication platform uses the identifiers to determine a destination, such as an endpoint device, for the traffic within the first network.

Abstract: A method is provided for resolving a call collision in a communication network. The method comprises, at a network node of the communication network: receiving a first call request message from a first user device to set up a call from the first user device to a second user device; checking whether the second user device has in turn sent a second call request message to set up a call from the second user device to the first user device; and in the affirmative, routing the first call request message to a conference bridge.

Abstract: In some implementations, an utterance that requests a voice call is received, the utterance is classified as spoken by a particular known user, the particular known user is determined to be associated with a personal voice number, and in response to determining that the particular known user is associated with a personal voice number, the voice call is initiated with the personal voice number.

Abstract: A method, a device and a system selects an optimal resource and/or channel. The device of a contact center receives transaction data and interaction data corresponding to a transaction between the contact center and a user device. The transaction data includes one of a current resource being utilized for the transaction or a current channel indicating a communication channel being utilized for the transaction. The interaction data corresponds to interaction information of the current resource and the user device. The device generates a current score value of the transaction based on the transaction data and the interaction data. The device determines one of a further resource or a further channel to be used for the transaction based on the current score value and a predictive model. The predictive model defines relations between score values with the resources or the channels.

Abstract: The present invention is a system and method of continuous sentiment tracking and the determination of optimized agent actions through the training of sentiment models and applying the sentiment models to new incoming interactions. The system receives conversations comprising incoming interactions and agent actions and determines customer sentiment on a micro-interaction level for each incoming interaction. Based on interaction types, the system correlates the determined sentiment with the agent action received prior to the sentiment determination to create and train sentiment models. Sentiment models include agent action recommendations for a desired sentiment outcome. Once trained, the sentiment models can be applied to new incoming interactions to provide CSRs with actions that will yield a desired sentiment outcome.

Abstract: A dynamic call connection distributor and a related method, the distributor including an agent pool, having information of call agents, the agent pool is at least partly configurable by a plurality of individual call agents, a recipient dialer, including circuitry for dialing at least one number of predefined potential recipients for establishment of a recipient connection, an agent dialer including circuitry for establishing an agent connection from the dynamic connection distributor to a call agent, and a call linker, having circuitry for linking the agent connection with the recipient call.

Abstract: For muting an audio device participating in a conference call, methods, apparatus, and systems are disclosed. One apparatus includes a processor and a memory that stores code executable by the processor. The processor identifies a plurality of physical locations participating in a conference call and identifies a plurality of devices participating in the conference call, wherein each device is located in one of the plurality of physical locations. The processor designates a primary device for each physical location, the primary device being a highest priority device at that physical location and mutes an audio device of each of the plurality of devices that is not designated a primary device.

Abstract: Methods and systems are disclosed that facilitate a commercial data platform that enhances the interaction between a dialer and receiver during a voice call by simultaneously delivering and tracking data content that promotes ongoing commerce and interactions between these parties. One such system includes first and second interaction managers on a dialer device and a receiver device that transmit first and second sets of interaction data to a database during a call. A server obtains receiver content data from the database using the receiver identifier, transmits the receiver content data to the dialer device, obtains dialer content data from the database using the dialer identifier, transmits the dialer content data to the receiver device, and stores data from both the first set of ID and the second set of ID in the database in association with both the receiver identifier and the dialer identifier.

Abstract: Systems and methods are provided for distributing audio. An audio system is provided that includes one or more audio interfaces, at least one of which is a wireless audio interface. An audio hub couples to the one or more audio interfaces and detects the presence of one or more headphones coupled to the wireless audio interfaces. The audio hub selectively establishes communication channel(s) to convey audio content between a plurality of devices coupled to the audio interfaces. The plurality of devices may include one or more headphones, an infotainment head unit, a microphone, and a speaker. Accordingly, headphone users may hold conversations with each other and/or other occupants of a vehicle, and various users may share audio content with headphone users and/or other occupants of a vehicle.

Abstract: Disclosed are various embodiments for routing communications to service agents based on a workflow. A computing device identifies a user intent object corresponding to a user interaction with the computing device. The computing device then generates a search criterion based on the identified user intent object and uses the search criterion for identifying the user intent in subsequent user interactions. After identifying the user intent, the computing device can identify a workflow corresponding to the user intent object. Later, the computing device can process one or more tasks associated with the workflow.

Abstract: A computer-implemented method includes: determining, by a computer device, contextual data of plural calls to a callee; generating, by the computer device, a predictive model based on the contextual data of the plural calls; determining, by the computer device, contextual data of a current call to the callee; determining, by the computer device and based on the model and the contextual data of the current call, a probability that the callee will answer the current call; determining, by the computer device and based on the model and the contextual data of the current call, an amount of time to ring for the current call; instructing, by the computer device, a caller device to display the determined probability; and instructing, by the computer device, a callee device to control an amount of rings for the current call based on the determined amount of time to ring.

Abstract: The present invention is a system and method of continuous sentiment tracking and the determination of optimized agent actions through the training of sentiment models and applying the sentiment models to new incoming interactions. The system receives conversations comprising incoming interactions and agent actions and determines customer sentiment on a micro-interaction level for each incoming interaction. Based on interaction types, the system correlates the determined sentiment with the agent action received prior to the sentiment determination to create and train sentiment models. Sentiment models include agent action recommendations for a desired sentiment outcome. Once trained, the sentiment models can be applied to new incoming interactions to provide CSRs with actions that will yield a desired sentiment outcome.

Abstract: The present invention is a system and method of continuous sentiment tracking and the determination of optimized agent actions through the training of sentiment models and applying the sentiment models to new incoming interactions. The system receives conversations comprising incoming interactions and agent actions and determines customer sentiment on a micro-interaction level for each incoming interaction. Based on interaction types, the system correlates the determined sentiment with the agent action received prior to the sentiment determination to create and train sentiment models. Sentiment models include agent action recommendations for a desired sentiment outcome. Once trained, the sentiment models can be applied to new incoming interactions to provide CSRs with actions that will yield a desired sentiment outcome.

Abstract: A local network call handling device is configured to establish multiple concurrent call sessions between local network end devices and an external network. When a prioritized end device attempts to establish a call session, the call handling device may initially determine if a first call session identifier is available. If so, the call session can be established using that first identifier. If the first identifier is in use for a call session of another end device, the call handling device may either use a different call session identifier for the prioritized end device session or may drop a pre-existing call session to free an identifier for use in connection with the prioritized end device.

Abstract: Techniques for identifying a likely subject of a user contact with a user support network and routing the user contact to an agent or an application that is determined to have relevant experience with the subject or issue the user is experiencing. To identify a likely subject of the user contact, data is gathered from a user device as well as from secondary user devices located near the user device. Also, data related to network resources the user device is using, history data of a user's previous contacts with the user support network, and account data associated with the user device is also collected. As a result, the user contact is routed to a knowledgeable agent who is likely to resolve the user's issue without further routing or consultation, thus saving network bandwidth, user device resources, agent time, user time, etc.