Implementations described herein relate to methods, systems, and computer-readable media to automatically answer a call. In some implementations, a method includes receiving a call from a caller device at a client device. The method further includes determining, based on an identifier associated with the call, whether the call matches auto answer criteria, and yin response to determining that the call matches the auto answer criteria, answering the call without user input and without alerting a user of the client device. The method further includes generating a call embedding for the call based on received audio of the call, comparing the call embedding with spam embeddings to determine whether the call is a spam call, and in response to determining that the call is a spam call, terminating the call.

Implementations described herein relate to methods, systems, and computer-readable media to automatically answer a call. In some implementations, a method includes receiving a call from a caller device at a client device. The method further includes determining, based on an identifier associated with the call, whether the call matches auto answer criteria, and yin response to determining that the call matches the auto answer criteria, answering the call without user input and without alerting a user of the client device. The method further includes generating a call embedding for the call based on received audio of the call, comparing the call embedding with spam embeddings to determine whether the call is a spam call, and in response to determining that the call is a spam call, terminating the call.

A processor-implemented method of enabling a customer support interaction in multiple channels in parallel is provided. The processor-implemented includes (i) receiving a call at a contact center from a customer, (ii) providing a notification to the customer with reference to a hold time to reach a live human agent at a first live channel, (iii) selecting at least one automation task to be performed for a customer's requirement by a virtual agent at a second non-live channel, and (iv) enabling transfer of the customer from the first live channel to the second non-live channel with the virtual agent and communicating the at least one automation task to be performed for the customer's requirement to the virtual agent at the second non-live channel. The at least one automation task is a series of steps performed by the virtual agent to complete an objective.

Integration of VoIP phone services with Intelligent Cloud Voice Recognition for emergency services overcomes limitations of conventional residential telephone technology to inexpensively provide more useful and advanced residential telephone services. For example, in an embodiment, a communication method may comprise establishing a communications session between either a user device and a telephone system or between a user device and voice recognition system, if the communications session is between a user device and a telephone system, extending the communications session to include a voice recognition system, if the communications session is between a user device and a voice recognition system, extending the communications session to include a telephone system, providing voice or speech information to the voice recognition system from the user device, and performing at least one function with the voice recognition system based on the provided voice or speech information.

Integration of VoIP phone services with Intelligent Cloud Voice Recognition for emergency services overcomes limitations of conventional residential telephone technology to inexpensively provide more useful and advanced residential telephone services. For example, in an embodiment, a communication method may comprise establishing a communications session between either a user device and a telephone system or between a user device and voice recognition system, if the communications session is between a user device and a telephone system, extending the communications session to include a voice recognition system, if the communications session is between a user device and a voice recognition system, extending the communications session to include a telephone system, providing voice or speech information to the voice recognition system from the user device, and performing at least one function with the voice recognition system based on the provided voice or speech information.

Methods, systems, and apparatus for an automated calling system are disclosed. Some implementations are directed to using a bot to initiate telephone calls and conduct telephone conversations with a user. The bot may be interrupted while providing synthesized speech during the telephone call. The interruption can be classified into one of multiple disparate interruption types, and the bot can react to the interruption based on the interruption type. Some implementations are directed to determining that a first user is placed on hold by a second user during a telephone conversation, and maintaining the telephone call in an active state in response to determining the first user hung up the telephone call. The first user can be notified when the second user rejoins the call, and a bot associated with the first user can notify the first user that the second user has rejoined the telephone call.

In some implementations, a system may receive non-deterministic finite state automata (NFSA) to represent a set of dialog flows associated with a human-machine interface. The system may generate a deterministic finite state automaton (DFSA) that includes a minimum set of states that represents all dialog flows included in the set of dialog flows represented in the NFSA and does not represent any dialog flows that are not included in the set of dialog flows represented in the NFSA. The system may traverse the DFSA to identify a set of K paths that have a highest total weight based on a weight assigned to each transition in the DFSA. The system may prune the DFSA to remove any states and any transitions that do not belong to the set of K paths. The system may generate an output related to one or more subsets of the set of K paths.

The present disclosure provides a call processing method, apparatus, electronic device and storage medium and relates to the field of cloud computing. The method may comprise: obtaining a calling subscriber's status information in real time while an intelligent dialogue robot is used to make a call with the calling subscriber; when it is determined that a call form of the intelligent dialogue robot needs to be adjusted, correspondingly adjusting the call form of the intelligent dialogue robot according to current status information of the calling subscriber. The solution of the present disclosure may be employed to improve the call performance of the intelligent dialogue robot.

The present disclosure provides a call processing method, apparatus, electronic device and storage medium and relates to the field of cloud computing. The method may comprise: obtaining a calling subscriber's status information in real time while an intelligent dialogue robot is used to make a call with the calling subscriber; when it is determined that a call form of the intelligent dialogue robot needs to be adjusted, correspondingly adjusting the call form of the intelligent dialogue robot according to current status information of the calling subscriber. The solution of the present disclosure may be employed to improve the call performance of the intelligent dialogue robot.

A system and method for delivering promotional rewards to a customer mobile device comprising a promotional reward wheel, a media server, and messaging application operating on the customer's mobile device. A customer interacts with the promotional reward wheel and the system captures that interaction and responsive to the promotional reward that was won by the interaction, generates a message on the customer's mobile device with a means to claim the reward by sending the generated message to the appropriate message endpoint.