When the context of a user indicates that tactile input to a mobile device on an interactive voice response (IVR) call is not feasible or desirable and the IVR downlink audio does not provide for a voice response option, the user nonetheless is prompted to respond by voice. The user's response is used to programmatically select the correct key by, e.g., sending the DTMF tone corresponding to the user's response on the uplink back to the IVR system.

According to one example, a method includes providing an interactive call menu creation service to a client device. The method further includes receiving a first dataset from the client device of an entity via the interactive call menu creation service, the first dataset including a call structure that defines a plurality of communication destinations and destination addresses for the communication destinations. The method further includes, in response to receiving the first dataset, generating a second dataset, the second dataset comprising code for embedding in a webpage to provide an interactive call menu for establishing communication to the plurality of communication destinations. The method further includes sending the second dataset to the client device in response to receiving the first dataset.

A synchronization device for synchronizing data associated with a vehicle test is presented. The synchronization device may include signal-generating circuitry configured to generate a signal and provide the signal to at least one output device associated with a vehicle so as to allow a data collection device to receive the signal from the at least one output device. The synchronization device may also include first additional circuitry configured to prevent the data collection device from receiving the signal based on whether a test associated with the vehicle has started. At least one of the providing of the signal to the at least one output device or the preventing of the data collection device from receiving the signal may indicate a start of the test and may allow data collected by the data collection device to be synchronized with other collected data.

Systems, methods, and computer-readable media for call classification and for training a model for call classification, an example method comprising: receiving DTMF information from a plurality of calls; determining, for each of the calls, a feature vector including statistics based on DTMF information such as DTMF residual signal comprising channel noise and additive noise; training a model for classification; comparing a new call feature vector to the model; predicting a device type and geographic location based on the comparison of the new call feature vector to the model; classifying the call as spoofed or genuine; and authenticating a call or altering an IVR call flow.

A method, system and computer program product for verifying a communication channel (e.g., radio channel) being open and usable. A query of one or more dual-tone multi-frequency signals (DTMF signals) is transmitted by a transmitting device (e.g., handheld radio device), such as a transmitting device operated by a first responder, over a communication channel (e.g., radio channel) to a receiving device (e.g., handheld radio device), such as a receiving device operated by a different first responder. Such first responders utilize a voice grade channel (frequency range of 300 to 3,000 Hz) to communicate, which is used by the transmitting device to transmit the query of one or more DTMF signals. An acknowledgement of a reception of the query of one or more DTMF signals from the receiving device is received by the transmitting device thereby verifying that the communication channel (e.g., radio channel) is open and usable.

A system and method for automated chatbot testing to provide training and quality assurance of conversational artificial intelligence systems, comprising a chatbot testing administrator interface which allows chatbot makers to define what a chatbot is supposed to do, create test scripts to test the performance of the chatbot, and review the results of the chatbot tests, a chatbot testing server which provides and interface between chatbot testing agents and the administrator interface, instantiates chatbot agents and distributes them across available hardware and runs testing programs which activate, configure, and deactivate chatbot testing agents as needed. A plurality of chatbot agents may be running in parallel to provide automated testing based upon test script configuration.

A system and method for receiving and executing emoji based commands in messaging applications. The system and method may include processes such as identifying emojis in a message, determining one or more action based on the emoji, and completing the determined actions.

When the context of a user indicates that tactile input to a mobile device on an interactive voice response (IVR) call is not feasible or desirable and the IVR downlink audio does not provide for a voice response option, the user nonetheless is prompted to respond by voice. The user's response is used to programmatically select the correct key by, e.g., sending the DTMF tone corresponding to the user's response on the uplink back to the IVR system.

A computing device of a communication network may generate a first connection context that can manage a first voice connection between a first device and a second device. A signal may be received over the first connection context indicative of a request by the first device. In response, the computing device may connect the first device to a second connection context that can manage a second voice connection between the first device and an automated service such as a communication bot. The first device can transmit natural language requests to the automated service. The automated service facilitates execution of the natural language requests by the computing device.

A system and method of security for emoji based actions. The system and method may include processes such as obtaining a first text associated with an emoji image and a second text, determining to implement a security measure based at least in part on the first text associated with the emoji image, and determining a security level based at least in part on the second text.