1. A computer implemented method for synthesizing multi-person speech into an aggregate voice, the method comprising: crowd-sourcing a data message configured to include a textual passage; collecting, from a plurality of speakers, a set of vocal data for the textual passage, wherein the set of vocal data includes a first set of enunciation data corresponding to a first portion of the textual passage, a second set of enunciation data corresponding to a second portion of the textual passage, and a third set of enunciation data corresponding to both the first and second portions of the textual passage; mapping a source voice profile to a subset of the set of vocal data to synthesize the aggregate voice; wherein mapping the source voice profile includes: extracting phonological data from the set of vocal data, wherein the phonological data includes pronunciation tags, intonation tags, and syllable rates; converting, based on the phonological data including pronunciation tags, intonation tags and syllable rates, the set of vocal data into a set of phoneme strings; and applying, to the set of phoneme strings, the source voice profile; assigning, based on evaluating the phonological data from the set of vocal data, a first quality score to the first set of enunciation data; and transmitting, in response to determining that the first quality score is greater than a first quality threshold, bonus credits to a first speaker of the first set of enunciation data.
6. The method of claim 1 , wherein collecting a set of vocal data further comprises: prompting a respective speaker of the plurality of speakers to read the first portion of the textual passage; and recording the respective speaker reading the first portion of the textual passage.