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.

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.

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.

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.

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.

Provided are voiceprint recognition method, device, terminal apparatus and storage medium. The method comprises: allocating each agent to the corresponding group according to their calling authorities, collecting and processing voiceprint features of each agent in the group to obtain integrated voiceprint features of the group, building a dynamic voiceprint recognition model based on the grouping, calling authority and integrated voiceprint features, acquiring voice data of agent when a call operation from the agent is detected, performing voiceprint feature extraction, meanwhile determining the calling authority of the agent based on a dynamic voiceprint recognition model; if the calling authority of the to-be-identified agent does not meet the required customer level, executing a preset early warning processing measure, and further monitoring; judging the group to which the agent belongs through voiceprint recognition, and realizing real-time monitoring according to the corresponding relation between the group and the authority.

An electronic device is disclosed. In addition, various embodiments recognized through the specification are possible. The electronic device includes a sensor, a processor operatively connected with the sensor, and a memory, operatively connected with the processor, including instructions. The instructions, when executed by the processor, cause the processor to perform biometric authentication for a user of the electronic device using the sensor, while a call connection procedure is performed with an ARS server, receive a voice signal for requesting private information of the user from the ARS server and convert the voice signal into text, and determine private information requested by the ARS server among at least one private information of the user, the at least one private information being previously stored in the memory, based on the converted text, and transmit the determined private information to the ARS server.

A voice communication method, a voice communication apparatus, and a voice communication system are disclosed. The method includes: at a transmitting side, obtaining voice information; determining whether the voice information is uttered by a preset user, and transmitting the voice information to a peer device if it is determined that the voice information is uttered by the preset user, and prohibiting the transmission of the voice information otherwise; and at a receiving side, receiving voice information transmitted from a peer device; collecting a first environmental information, and determining whether the first environmental information meets a voice output condition; outputting the voice information if it is determined that the first environmental information meets the voice output condition, and prohibiting the output of the voice information otherwise.

For responding to a notification displayed in an Always on Display (AoD) mode with a voice command, a method displays notifications in at least one of a full power mode or an AoD mode, parses a notification to determine a notification type. The method also determines, while in the AoD mode, if the notification supports voice responses. If the notification supports voice response, the method receives a voice command from a user and authorizes the user based on the voice command, bypasses a screen lock, in response to the user being authorized, and executes the voice command.

Obtaining configuration audio data including voice information for a plurality of meeting participants. Generating localization information indicating a respective location for each meeting participant. Generating a respective voiceprint for each meeting participant. Obtaining meeting audio data. Identifying a first meeting participant and a second meeting participant. Linking a first meeting participant identifier of the first meeting participant with a first segment of the meeting audio data. Linking a second meeting participant identifier of the second meeting participant with a second segment of the meeting audio data. Generating a GUI indicating the respective locations of the first and second meeting participants, and the GUI indicating a first transcription of the first segment and a second transcription of the second segment. The first transcription is associated with the first meeting participant in the GUI, and the second transcription is associated with the second meeting participant in the GUI.