1. One or more non-transitory computer-readable media having a plurality of executable instructions embodied thereon, which, when executed by a processor of a computing device cause the computing device to: receive an audio recording of spoken content for audibly emphasizing an identified word with respect to other words included in the spoken content; extract contextual and lexical information, from the audio recording, relating to the identified word; determine emphasis parameters based on the contextual and lexical information and a predictive model that correlates the contextual and lexical information with the determined emphasis parameters; and apply the emphasis parameters to modify the identified word such that when modified, the identified word is audibly emphasized within the audio recording of the spoken content and with respect to the other words included in the spoken content.
1. One or more non-transitory computer-readable media having a plurality of executable instructions embodied thereon, which, when executed by a processor of a computing device cause the computing device to: receive an audio recording of spoken content for audibly emphasizing an identified word with respect to other words included in the spoken content; extract contextual and lexical information, from the audio recording, relating to the identified word; determine emphasis parameters based on the contextual and lexical information and a predictive model that correlates the contextual and lexical information with the determined emphasis parameters; and apply the emphasis parameters to modify the identified word such that when modified, the identified word is audibly emphasized within the audio recording of the spoken content and with respect to the other words included in the spoken content. 8. The one or more computer-readable media of claim 1 , wherein the contextual and lexical information includes an average normalized duration of phones within a predetermined duration before and after each vowel phone of the identified word.