According to one embodiment, a method, computer system, and computer program product for detecting and repairing gaps within a call is provided. The present invention may include requesting a personal discourse gap recovery model (PDGRM) for participants in a call, where the PDGRM may be a machine learning model that models a user's speech patterns based on word collocation, dictionary, and speaking rate. The present invention may further comprise detecting one or more gaps in the call based on network connectivity, inserting an audio delay into the call, constructing repaired dialogue to fill at least one of the one or more gaps in the call based on the PDGRM, and inserting the repaired dialogue into the call.

A method for incorporating an augmented voice communication into a communication routing configuration of a contact center system according to an embodiment includes selecting a vocal avatar, wherein the vocal avatar includes phonetic characteristics having first values, receiving a text communication and input user parameters from an input user, generating the augmented voice communication based on the text communication and the input user parameters, wherein the augmented voice communication includes phonetic characteristics having second values, wherein the first values of the phonetic characteristics of the vocal avatar are different from the second values of the phonetic characteristics of the augmented voice communication, and incorporating the augmented voice communication into the communication routing configuration of the contact center system.

Systems and methods disclosed herein securely provide confidential information associated with a user during an active voice call conducted using the user's mobile device. The confidential information may be provided by generating the information in spoken form and inserting the spoken information into an audio stream of the voice call. For example, a customer may be on a phone call with a customer agent. The customer agent may ask the customer for a credit card number in order to process a financial transaction. The customer may select the credit card number via an application executing on the customer's mobile phone. The application may cause the credit card number to be spoken out loud during the voice call. A voice sample of the spoken credit card number in inserted into the audio stream of the voice call and is therefore, audible to the customer and the customer agent without being overheard by a third party.

Artificial agents utilized for voice interactions continue to improve in their capacity to conduct more sophisticated interactions. Rather than just presenting a limited set of options, artificial agents are continuing to narrow the gap between generated speech and natural human speech. A requirement is often in place that spoken interactions be recorded, however, storing speech, even with data compression, is a resource-demanding task. Generated speech may be provided from content, such as text, and speech data. By recording an identifier of the content and associated speech data, storage processing and space requirements can be greatly reduced. Playback may be provided from a waveform of audio provided by the human participant and by selecting the content associated with the content identifier and generating speech of the content utilizing settings provided by the speech data.

Implementations of the present specification provide a telecommunication traffic allocation method and apparatus, and an electronic device. The method includes: determining a customer service agent that meets a response need of a traffic request, including: in response to that the traffic request is an audio interaction request or a video interaction request and that a customer service agent is currently processing an audio interaction or a video interaction, determining that the customer service agent does not meet the response need of the traffic request; in response to that the customer service agent is currently processing neither an audio interaction nor a video interaction, and that a processing volume corresponding to a text interaction being processed by the customer service agent does not exceed a first processing volume upper limit, determining that the customer service agent meets the response need of the traffic request; and allocating telecommunication traffic corresponding to the traffic request to a customer service agent that meets the response need. In the method according to an implementation of the present specification, the unified allocation of audio interactions, video interactions, and text interactions can be implemented, thereby improving the efficiency of customer service traffic processing, reducing the amount of customer service human resources occupied by a remote customer service, and reducing operating costs of the remote customer service.

Implementations are directed to using an assistant to initiate automated telephone calls with entities. Some implementations identify an item of interest, identify a group of entities associated with the item, and initiate the calls with the entities. During a given call with a given entity, the assistant can request a status update regarding the item, and determine a temporal delay before initiating another call with the given entity to request a further status update regarding the item based on information received responsive to the request. Other implementations receive a request to perform an action on behalf of a user, identify a group of entities that can perform the action, and initiate a given call with a given entity. During the given call, the assistant can initiate an additional call with an additional entity, and generate notification(s), for the user, based on result(s) of the given call and/or the additional call.

Systems and methods for sending text messages in audio form over voice calls. When a user receives an incoming voice call, the system can enable a user to type a “text” message to the caller. Rather than being sent as a text message, however, the system can send the text message directly to the microphone of the user's equipment (UE) as a voice synthesized audio file, or text-to microphone (TTM) message. The audio file is then sent from the user's UE to the caller's UE, in effect “reading” the text message to the caller. The caller hears the contents of the message, in the form of a voice synthesized audio file over the speaker of the caller's UE. The system can mute the microphones on one or both UEs during the TTM process to create a virtually silent process from the user's standpoint.

Systems and methods for providing notifications without breaking media immersion. A notification delivery application receives notification data while a media device provides a media asset. In response to receiving the notification data while the media device provides the media asset, the notification delivery application generates a voice model based on a voice detected in the media asset. The notification delivery application converts the notification data to synthesized speech using the voice model and generates, by the media device, the synthesized speech for output at an appropriate point in the media asset based on contextual features of the media asset.

A method and system for operating a multitenancy telephony system including receiving a plurality of call requests associated with an application server; selecting a subset of the received call requests using a load balancer; assigning each selected call request to one of a plurality of resources creating, on the assigned resource, a call session for each selected call request; and coordinating the created call sessions resulting from the selected subset of the received call requests associated with the application server.

A method and system for operating a multitenancy telephony system including receiving a plurality of call requests associated with an application server; selecting a subset of the received call requests using a load balancer; assigning each selected call request to one of a plurality of resources creating, on the assigned resource, a call session for each selected call request; and coordinating the created call sessions resulting from the selected subset of the received call requests associated with the application server.