1. A method for automated generation of a song for process learning, the method comprising: loading from fixed storage a process description for transformation into a song intended to facilitate learning of the process by a target listener; defining lyrical segments for the process description; specifying a characterization of the target listener; defining a subset of melodies consonant with the characterization; determining a syllabic profile for at least one of the lyrical segments; selecting a particular melody from the defined subset of melodies stored in the fixed storage matching the syllabic profile; mapping the defined lyrical segments to musical phrases in the particular melody; and, merging pre-recorded audio segments corresponding to the defined lyrical segments with the musical phrases in the particular melody according to the mapping to generate the song.
1. A method for automated generation of a song for process learning, the method comprising: loading from fixed storage a process description for transformation into a song intended to facilitate learning of the process by a target listener; defining lyrical segments for the process description; specifying a characterization of the target listener; defining a subset of melodies consonant with the characterization; determining a syllabic profile for at least one of the lyrical segments; selecting a particular melody from the defined subset of melodies stored in the fixed storage matching the syllabic profile; mapping the defined lyrical segments to musical phrases in the particular melody; and, merging pre-recorded audio segments corresponding to the defined lyrical segments with the musical phrases in the particular melody according to the mapping to generate the song. 2. The method of claim 1 , wherein the characterization comprises a characterization of the target listener selected from the group consisting of age group, gender, music style preference, ethnicity and language.