Objective: Assessing musical compositions using tessituragram analysis can theoretically help singers and teachers effectively pair singing ability with musical demands. However, translational research would make these abstract measurements more accessible. The objective of this poster was to create a Musical Demand Profile (MDP) graphic, translating tessituragram analysis measurements into user-friendly images.

Method: The melodic lines of three compositions (“Un’aura amorosa” by Wolfgang Mozart and Lorenzo da Ponte, “Waving Through a Window” by Benj Pasek and Justin Paul, and “I’m Not the Only One” by Sam Smith and James Napier) were assessed using established manual tessituragram analysis procedures. The vocal line of each song was subdivided by a rhythmic figure common to the entire melody for equal pitch weighting and assessed for a generic high voice, bass clef range singer. The compositional range, musical tessitura, total time, time dose, rest time, cycle dose, melodic directionality, and time spent in generalized musical passaggi zones were calculated for each piece. An image of a piano keyboard with arrows and labels was used to display compositional range and musical tessitura. A second piano keyboard was used to note the generalized musical passaggio zones for a generic high voice, bass clef range singer, with the total and percent of time spent in each labeled area. Vertical bars using color gradients were marked with arrows and labels to note the total time, time dose, rest time, and cycle dose. Finally, a pendulum image was used to display relative ascending or descending melodic directionality.

Results: This process, using tessituragram analysis procedures, allows for a comparative analysis of the three analyzed compositions and graphically represents the analysis results in a user-friendly visual format.

Conclusions: This graphic MDP may be a useful means of understanding the results of tessituragram analysis, making this analysis more applicable to voice teachers and singers.