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Aims: To assess whether individual parameters or combinations of voice range profile parameters (also called ‘features’) are able to yield a clear cluster separation with which three basic female voice categories can be discriminated and can provide a basis for settling the issue of voice classification. Methods: The voice range profiles of 206 female conservatory singing students were recorded, parameterized into more compact descriptions (‘features’), and subjected to a cluster analysis. Results: The three-cluster case provided the most consistent solution across all feature combinations. The feature that led to the best cluster separation was the ratio of the perimeter length of the chest voice part of the voice range profile versus the total perimeter length. Conclusions: Based on a statistical analysis of voice range profile parameters, the ratio of the perimeter length of the chest voice versus the total perimeter length was shown to yield a clear separation into three basic female voice types, which in turn may give us a basis for settling the issue of voice classification.

Aims: To assess whether individual voice range profile parameters or combinations of these are able to yield a clear cluster separation of male voices. Methods: The voice range profiles of 256 male conservatory singing students and professional singers were recorded, parameterized into more compact descriptions (‘features'), and subjected to a cluster analysis. Results: Based on all parameters the frequency dip of the register transition zone was shown to yield the best cluster separation for three basic male voice types. Conclusions: This study demonstrates that parameter combinations of the voice range profile exist that generate a clear separation of voice clusters. This was also the case with female voices as shown in a former study. The clusters may be attributed to the three classic basic male voice types, and in this way our results can provide a fresh angle on the issue of male voice classification.

Objective: The aim of the study was to assess differences in voice parameters measured by the physiological voice range profile (VRP) in groups of vocally healthy subjects differentiated by the duration of vocal training and the training institution. Patients and Methods: Six basic frequency- and intensity-related VRP parameters and the frequency dip of the register transition zone were determined from VRP recordings of 162 females studying in individual singing lessons (1st-5th level) in Dutch, Belgian, English, and French public or private training facilities. Sixty-seven nonsinging female students served as controls. Results: Singing students in more advanced singing classes demonstrated a significantly greater frequency range, particularly at high frequencies, than did first-year students. Students with private training showed a significantly increased mean intensity range in comparison to those in group classes, while students with musical theater training exhibited significantly increased frequency- and intensity-related VRP parameters in comparison to the students with classical training. When compared to nonsingers, all singing student subgroups showed significant increases in all basic VRP parameters. However, the register transition parameter was not influenced by training duration or institution. Conclusion: Our study suggests that the extension of physiological vocal limits might depend on training duration and institution.

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