A voicemail service node of a carrier network may configure a voicemail profile for a subscriber to provide voicemail transcription delivery. For example, a voicemail service node may receive, from a voicemail client on a user device, a request to activate delivery of voicemail transcription for the user device via the voicemail client. The voicemail service node may determine device configuration information for delivery of voicemail transcription, determine, based on the device configuration information and the activation request, a delivery configuration for delivery of voicemail transcription via the voicemail client using a set of one or more modes of delivery of voicemail transcription, and configure the voicemail profile associated with the user device to cause delivery of voicemail transcription to the user device using the set of one or more modes of delivery of voicemail transcription.

A device monitors a communication between a user associated with a user device and a service representative associated with a service representative device, and causes a natural language processing model to perform a natural language processing analysis of a user input of the communication to identify a topic associated with the communication. The device determines a first score associated with the topic, and determines a second score associated with enabling the communication, where the first score and second score indicate a service performance score of an entity. The device causes a sentiment analysis model to perform a sentiment analysis of the communication to determine a sentiment score indicating a level of satisfaction the user has relative to the topic. The device updates a transaction protocol associated with the topic based on the service performance score, and/or updates a communication processing protocol associated with the communication based on the sentiment score.

Provided are a call deflection and response system and method, wherein a voice call from a caller device is received, a skill group is determined to resolve an issue associated with the call, and a text response to the issue is sent to the caller device, providing a context-based personalized response. A caller leaves a detailed voicemail explaining an issue needing resolution, which is electronically transcribed and then run through a classifier to determine concepts and intents associated with the call. Based on the concepts and intents, responsibility for the call and associated files are transferred to a particular skill group on a chat platform for resolution. A chat entity from the appropriate skill group determines and provides an issue response via text message to the caller device, e.g., to the caller's mobile phone.

An emergency event detection and response system detects an occurrence of an event associated with a user and initiates an emergency response flow. A user may be associated with a wearable device and have in his home a base station and portable or stationary wireless devices containing sensors capable of detecting an emergency event. The emergency event may be detected based on voice or non-voice audio input from the user, data monitoring by the wearable device, base station, and/or portable or stationary wireless device, or by physical button press. Responsive to determining that an emergency event has occurred, the system triggers an emergency response flow by notifying a call center and contacting one or more caregivers associated with the user. Caregivers may access a response system application to receive updates regarding the detected emergency and to contact the user and/or a provider associated with the call center.

Techniques described herein relate to representative monitoring in a contact center environment. Data associated with a customer interaction, including content of the interaction and video of a representative display during processing associated with the interaction, are presented to an administrator in real time or near real time for monitoring during an interaction. In some examples, a contact center server may receive an event notification when a live contact begins, and may generate data files associated with the live contact to allow the administrator to monitor the contact. In some instances, the contact center server may continue to generate data after conclusion of the live contact, to allow the administrator to monitor and guide post-contact processing performed by the representative. The contact center server also may allow administrators to select live contacts for monitoring and/or receive alerts when pre-selected representatives commence live contacts that can be monitored.

A system for identifying spoken language in a telecommunications relay service, which includes a call serving entity; and a plurality of automatic speech recognition groups where each of the automatic speech recognition groups includes an associated automatic speech recognition engine that recognizes and transcribes speech to a predefined language. One of the plurality of automatic speech recognition groups is set as a default automatic speech recognition group and automatic speech recognition engines transcribe and convert peer voices into text packets. The text packets are scored by the automatic speech recognition engine and transmitted to the call serving entity to determine whether the text packets meet a predetermined threshold based on their respective scores with the text packet having the highest score that meets or exceeds the predetermine threshold transmitted to a user.

Methods to reduce agent effort and improve customer experience quality through artificial intelligence. The Agent Assist tool provides contact centers with an innovative tool designed to reduce agent effort, improve quality and reduce costs by minimizing search and data entry tasks The Agent Assist tool is natively built and fully unified within the agent interface while keeping all data internally protected from third-party sharing.

A method comprising: receiving an interactive voice response (IVR) tree configured to implement one or more tasks, each associated with one or more IVR node paths comprising a plurality of IVR nodes arranged in a hierarchical relationship; analyzing the IVR tree to identify one or more intent IVR nodes, each associated with one of the tasks; with respect to each of the intent IVR nodes, identifying a plurality of corresponding entity IVR nodes included within the IVR node path associated with the intent IVR node; assembling one or more task-specific chatbot skills, each comprising (i) one of the intent IVR nodes, and (ii) at least some of the plurality of corresponding entity IVR nodes, wherein each of the task-specific chatbot skills is configured to perform one of the tasks by conducting a dialog with a user; and generating a chatbot comprising at least one of the task-specific chatbot skills.

Embodiments described herein provide for the dynamic adjustment of traffic associated with audiovisual conferences or other types of communication sessions in situations where a network connection of one or more conference participants exhibits issues that may affect audio and/or video quality. The adjustment may include the determination at a particular conference participant (e.g., a particular User Equipment (“UE”)) of degraded network conditions, the generation of condensed conference information at the UE, and the outputting of the condensed conference information via the network. The condensed conference information may be included in control signaling. The condensed conference information may be used to generate reconstructed conference information, which may be distributed to other conference participants.

An example method includes receiving, by a computational assistant executing at one or more processors of a mobile computing device and via a wireless link between the mobile computing device and an external device, a representation of audio data generated by a microphone of the external device, the audio data representing a spoken utterance detected by the external device; determining, by the computational assistant and based on the audio data, a response to the spoken utterance; and sending, by the mobile computing device, to the external device, and via the wireless link between the mobile computing device and the external device, a command to output, for playback by one or more speakers connected to the external device via a hardwired analog removable connector of the external device or a wireless link between the external device and the one or more speakers, audio data representing the response to the spoken utterance.