Implementations set forth herein relate to generating a pre-call analysis for one or more users that are receiving and/or initializing a call with one or more other users, and/or prioritizing pre-call content according to whether security-related value was gleaned from provisioning certain pre-call content. One or more machine learning models can be employed for determining the pre-call content to be cached and/or presented prior to a user accepting a call from another user. Feedback provided before, during, and/or after the call can be used as a basis from which to prioritize certain content and/or sources of content when generating pre-call content for a subsequent call. Other information, such as contextual data (e.g., calendar entries, available peripheral devices, location, etc.) corresponding to the previous call and/or the subsequent call, can also be used as a basis from which to provide a pre-call analysis.

Implementations set forth herein relate to generating a pre-call analysis for one or more users that are receiving and/or initializing a call with one or more other users, and/or prioritizing pre-call content according to whether security-related value was gleaned from provisioning certain pre-call content. One or more machine learning models can be employed for determining the pre-call content to be cached and/or presented prior to a user accepting a call from another user. Feedback provided before, during, and/or after the call can be used as a basis from which to prioritize certain content and/or sources of content when generating pre-call content for a subsequent call. Other information, such as contextual data (e.g., calendar entries, available peripheral devices, location, etc.) corresponding to the previous call and/or the subsequent call, can also be used as a basis from which to provide a pre-call analysis.

In an example method, a system accesses first data including text transcripts of a plurality of voice calls, and generates, based on the first data, labeled representations of the voice calls using the one or more computerized LLMs. The system generates the labeled representations by determining a plurality of contextual categories associated with the voice calls, segmenting the text transcript into a plurality of transcript segments, and associating each of the transcript segments with a respective one of the contextual categories. Further, the system generates second data representing the labeled representations of the voice calls and stores the second data using the one or more hardware storage devices.

In response to detecting a telephone call from a user device of a user at an interactive voice response (IVR) processor, an intent of the user is determined. Upon determining that the intent of the user is configured for an assisted interaction using a dual connection with the user device including a telephone connection and a persistent data connection, the persistent data connection is setup with the user device and the assisted interaction is performed with the user device. Performing the assisted interaction includes receiving an input message from the user device and, in response, transmitting a first response message to the user device over the telephone connection and, in conjunction, transmitting a second response message to the user device over the data connection.

Embodiments of this application provide an audio playback method and an electronic device. When the electronic device establishes a call connection to another electronic device, the electronic device may receive a call audio signal sent by the another electronic device. The electronic device determines an audio signal parameter processing strategy based on coordinate information of a user image of the another electronic device on a screen of the electronic device, and generates an outloud audio signal. The outloud audio drives a first sound emitting unit and a second sound emitting unit to emit a sound, and a virtual sound image generated by jointly emitting a sound by the first sound emitting unit and the second sound emitting unit corresponds to an orientation of the user image of the another electronic device on the screen of the electronic device.