Analyzing Musical passaggi in Erlkönig by Franz Schubert: A Pilot Study

  • 0School of the Arts, Dean College, Franklin, Massachusetts; Department of Music, Providence College, Providence, Rhode Island. Electronic address: patinka.paul@gmail.com.
Journal of voice : official journal of the Voice Foundation +

|

Abstract

OBJECTIVE

This pilot study calculates various compositional difficulty measurements for the Western classical art song Erlkönig by Franz Schubert by utilizing and adapting established musical analysis methods. The objective of this study is to adapt previously described musical analysis methods to expand on a concept presented by Nicole Pizzorni et al and develop a new, generalizable method of noting the total and percent of performance time a piece of music might require a singer to sing in their passaggi.

METHODS

An established method of quantitative musical analysis using a universal rhythmic subdivision was used to describe the compositional range, musical tessitura, cycle dose, time dose, and recovery time of Erlkönig. A generalized definition of a high passaggio (Hp), middle passaggio (Mp), and low passaggio (Lp) for a generically described high voice (HV), medium voice, and low voice was created. Basic calculations on data generated through tessituragram analysis determined the total and percent of performance time in passaggi.

RESULTS

Results indicate that a HV treble clef range singer performing Erlkönig would spend 34.6 seconds (s) or 21.6% of time singing in the Hp, 25.5 seconds or 15.9% in the Mp, and 7.1 seconds or 4.3% in the Lp. A HV bass clef range singer would spend 0.0 seconds or 0.0% of performance time singing in the Hp, 34.6 seconds or 21.6% in the Mp, and 73.1 seconds or 21.6% in the Lp. The total musical passaggi time dose rating for a HV treble clef range singer is 67.2 seconds and the percent of singing time in their passaggi is 41.9%, and 107.8 seconds and 67.2% for a bass clef singer.

CONCLUSIONS

This paper offers a potentially generalizable method to analyze and compare musical pieces based on the time spent singing in passaggi by adapting data collected during tessituragram analysis.

Related Concept Videos

Properties of Fourier series II 01:21

140

Time scaling of signals is a crucial concept in signal processing that affects the Fourier series representation without altering its coefficients. The process modifies the fundamental frequency, thereby changing how the series represents the signal over time. This principle is essential in various applications, including audio and image processing, where signal manipulation is frequent. Understanding function symmetries is fundamental to simplifying the Fourier series.
A function f(t) is...

Beats 01:09

518

The study of music provides many examples of the superposition of waves and the constructive and destructive interference that occurs. Very few examples of music being performed consist of a single source playing a single frequency for an extended period of time. A single frequency of sound for an extended period might be monotonous to the point of irritation, similar to the unwanted drone of an aircraft engine or a loud fan. Music is pleasant and exciting due to mixing the changing frequencies...

Problem-Solving: Tuning of a Guitar String 01:04

417

In the case of stringed instruments like the guitar, the elastic property that determines the speed of the sound produced is its linear mass density or the mass per unit length. This is simply called the linear density. If the string's linear density is constant along the string, then the linear density is simply the total mass divided by the total length.
The string's wave speed can be regulated by varying the linear density. Tension is the other property that determines the speed of...

Bandpass Sampling 01:17

166

In signal processing, bandpass sampling is an effective technique for sampling signals that have most of their energy concentrated within a narrow frequency band. This type of signal is known as a bandpass signal. The key principle of bandpass sampling involves sampling the signal at a rate that is greater than twice the signal's bandwidth to prevent aliasing.
A bandpass signal has a spectrum with a lower frequency limit, denoted as ω1, and an upper frequency limit, denoted as ω2....

Patch Clamp 01:18

5.4K

Many fundamental cell functions such as muscle contraction and nerve transmission rely on the electrical signals produced by the movement of positively and negatively charged ions across the cell membrane. One competent method to record current flowing across the whole cell or single ion channel is the patch-clamp technique.
In this method, a glass micropipette containing electrolyte solution is tightly sealed against a small portion of the cell membrane. As a result, a patch of the cell...

Network Function of a Circuit 01:25

273

Frequency response analysis in electrical circuits provides vital insights into a circuit's behavior as the frequency of the input signal changes. The transfer function, a mathematical tool, is instrumental in understanding this behavior. It defines the relationship between phasor output and input and comes in four types: voltage gain, current gain, transfer impedance, and transfer admittance. The critical components of the transfer function are the poles and zeros.

Here, zeros are roots...