Related Experiment Video
Updated: Mar 23, 2026
05:48
Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception
Published on: August 9, 2024
2.1K
Stable Voice Clusters Identified When Using the Maximum versus Minimum Intensity Curve in the Phonetogram.
Flavio Camarrone1, Anna Ivanova, Wivine Decoster
1Laboratory for Neuro- and Psychophysiology, Department of Neurosciences, KU Leuven - University of Leuven, Leuven, Belgium.
Summary
Both minimum and maximum voice intensity (sound pressure level, SPL) curves are essential for accurately identifying distinct voice groups using voice range profile (VRP) clustering analysis in singers.
Area of Science:
- Vocal acoustics and bioacoustics
- Music performance science
- Speech and hearing sciences
Background:
- Voice range profiles (VRPs) map vocal intensity and frequency ranges.
- Clustering analysis is used to categorize voices without prior labels.
- Understanding VRP curve requirements aids voice classification.
Purpose of the Study:
- To determine if both maximum and minimum sound pressure level (SPL) curves of a VRP are necessary for voice group discovery.
- To evaluate the effectiveness of VRP features in unsupervised voice classification.
Main Methods:
- Collected VRPs from 194 professional singers (84 male, 110 female).
- Performed cluster analysis using features from (1) both max and min SPL curves and (2) max SPL curve only.
- Compared the distinctness of clusters generated by each feature set.
Main Results:
- Using both max and min SPL curves revealed three distinct voice clusters for both male and female singers.
- These clusters corresponded to voice types with similar VRP characteristics.
- Utilizing only the max SPL curve resulted in less obvious and distinct clusters.
Conclusions:
- Both maximum and minimum SPL curves of a VRP are crucial for accurately identifying three distinct voice clusters.
- The inclusion of minimum SPL data enhances the reliability of unsupervised voice group classification.
Related Concept Videos
00:53Sound Intensity Level
5.1K
Humans perceive sound by hearing. The human ear helps sound waves reach the brain, which then interprets the waves and creates the perception of hearing. The loudness of the environment in which a person is located determines whether they can distinguish between different sound sources.
The human ear can perceive an extensive range of sound intensity, necessitating the use of the logarithmic scale to define a physical quantity—the intensity level. It is a ratio of two intensities and...
The human ear can perceive an extensive range of sound intensity, necessitating the use of the logarithmic scale to define a physical quantity—the intensity level. It is a ratio of two intensities and...
5.1K
00:58Sound Intensity
5.1K
The loudness of a sound source is related to how energetically the source is vibrating, consequently making the molecules of the propagation medium vibrate. To measure the loudness of a source, the physical quantity of interest is the intensity. This is defined as the energy emitted per unit of time per unit of area perpendicular to the sound wave's propagation direction. Since the total energy is greater if the source vibrates for a longer duration and over a larger area, dividing the...
5.1K
01:05Intensity and Pressure of Sound Waves
1.9K
The intensity of sound waves can be related to displacement and pressure amplitudes by using their wave expressions and the definition of intensity. The critical step to achieve this is to write the power delivered by the particles on the wave as the product of force and velocity and simplify the force per unit area as the pressure. The velocity of the medium's particles can be derived from the displacement.
Unlike the time average of a sinusoidal term, which is zero since it is positive...
Unlike the time average of a sinusoidal term, which is zero since it is positive...
1.9K
01:21Perceiving Loudness, Pitch, and Location
1.3K
The human brain perceives pitch through two primary mechanisms reflected in place theory and frequency theory. Each mechanism describes how sound waves are interpreted as specific pitches by the brain, offering insights into the intricate processes of auditory perception.
Place theory, or place coding, suggests that different pitches are heard because various sound waves activate specific locations along the cochlea's basilar membrane. The brain determines the pitch of a sound by...
Place theory, or place coding, suggests that different pitches are heard because various sound waves activate specific locations along the cochlea's basilar membrane. The brain determines the pitch of a sound by...
1.3K
01:08IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations
2.2K
Identical bonds within a polyatomic group can stretch symmetrically (in-phase) or asymmetrically (out-of-phase). Similar to hydrogen bonding, these vibrations also influence the shape of the IR peak. Generally, asymmetric stretching frequencies are higher than symmetric stretching frequencies. For example, primary amines exhibit two distinct IR peaks between 3300–3500 cm−1 corresponding to the symmetric and asymmetric N-H stretching, while secondary amines exhibit a single...
2.2K
01:19Expected Frequencies in Goodness-of-Fit Tests
8.8K
A goodness-of-fit test is conducted to determine whether the observed frequency values are statistically similar to the frequencies expected for the dataset. Suppose the expected frequencies for a dataset are equal such as when predicting the frequency of any number appearing when casting a die. In that case, the expected frequency is the ratio of the total number of observations (n) to the number of categories (k).
8.8K