7. A system for synthesizing audible speech, with varying prosody, from textual content, the system comprising: a non-transitory memory for storing instructions; instructions stored on the non-transitory memory, the instructions executable on a processor to: build an inventory of prosody models with designated characteristics; select a target prosody model for training based on input parameters and first keywords related to a first text segment of a first text with prosody annotations; train the target prosody models based on the prosody annotations of the first text segment; use associations between the first keywords, the designated characteristics, and the input characteristics; select multiple prosody models for application for a second text segment of a second text based on second keywords related to the second text segment and the associations; apply the multiple application prosody models to the second text; reconcile conflicts from the application of the multiple application prosody models to generate reconciled prosody information and a speech synthesis engine that generates audible speech for the second text segment based on the reconciled prosody information using a text-to-speech synthesis engine.
7. A system for synthesizing audible speech, with varying prosody, from textual content, the system comprising: a non-transitory memory for storing instructions; instructions stored on the non-transitory memory, the instructions executable on a processor to: build an inventory of prosody models with designated characteristics; select a target prosody model for training based on input parameters and first keywords related to a first text segment of a first text with prosody annotations; train the target prosody models based on the prosody annotations of the first text segment; use associations between the first keywords, the designated characteristics, and the input characteristics; select multiple prosody models for application for a second text segment of a second text based on second keywords related to the second text segment and the associations; apply the multiple application prosody models to the second text; reconcile conflicts from the application of the multiple application prosody models to generate reconciled prosody information and a speech synthesis engine that generates audible speech for the second text segment based on the reconciled prosody information using a text-to-speech synthesis engine. 8. The system of claim 7 , wherein the input parameters comprise the identity, type, or role of a speaker of the first text segment.