Assisting users with personalized and contextual communication content

One or more computer-readable non-transitory storage media embodying software that is operable when executed to:

• receive one or more voice inputs from a first user;
• determine a first language register associated with the first user based on the one or more voice inputs;
• select a second language register for a voice response based on the one or more voice inputs;
• generate, by a selected language-register model from a plurality of language-register models corresponding to a plurality of language registers, respectively, the voice response based on the second language register, wherein the selected language-register model corresponds to the second language register, wherein the plurality of language-register models are each trained based on a plurality of groups of training samples, respectively, and wherein the plurality of groups of training samples correspond to the plurality of language registers, respectively;
• and
• provide the voice response in response to the one or more voice inputs,
• wherein the plurality of language register models are each personalized with respect to the first user, and wherein the voice response is personalized with respect to the first user.

A system comprising:

• one or more processors;
• and a non transitory memory coupled to the processors comprising instructions executable by the processors, the processors operable when executing the instructions to:
• receive one or more voice inputs from a first user;
• determine a first language register associated with the first user based on the one or more voice inputs;
• select a second language register for a voice response based on the one or more voice inputs;
• generate, by a selected language-register model from a plurality of language-register models corresponding to a plurality of language registers, respectively, the voice response based on the second language register, wherein the selected language-register model corresponds to the second language register, wherein the plurality of language-register models are each trained based on a plurality of groups of training samples, respectively, and wherein the plurality of groups of training samples correspond to the plurality of language registers, respectively;
• and
• provide the voice response in response to the one or more voice inputs,
• wherein the plurality of language register models are each personalized with respect to the first user, and wherein the voice response is personalized with respect to the first user.