Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Auditory Perception01:17

Auditory Perception

1.5K
The auditory system is essential for sound perception, utilizing various critical structures. When sound waves enter the outer ear, they travel through the ear canal and cause the eardrum to vibrate. These vibrations are then transmitted to the middle ear, where three tiny bones – the malleus, incus, and stapes – amplify the sound. This amplification is crucial, as it ensures that the sound vibrations are strong enough to be conveyed to the inner ear. These vibrations then reach the...
1.5K
Harmonic Mean01:09

Harmonic Mean

5.2K
The arithmetic mean is usually skewed towards the larger values in the data set. Therefore, to avoid this inherent bias towards smaller values, the harmonic mean is used.
Take the example of the speed of a car, which is the measure of the rate of distance traveled. If the vehicle traverses the same distance back-and-forth, its average speed equals the total distance traveled divided by the total time taken. However, if the car moves with varying speeds, then the arithmetic mean is more skewed...
5.2K
Resonance and Hybrid Structures02:16

Resonance and Hybrid Structures

20.0K
According to the theory of resonance, if two or more Lewis structures with the same arrangement of atoms can be written for a molecule, ion, or radical, the actual distribution of electrons is an average of that shown by the various Lewis structures.
Resonance Structures and Resonance Hybrids
The Lewis structure of a nitrite anion (NO2−) may actually be drawn in two different ways, distinguished by the locations of the N–O and N=O bonds.
20.0K
Perception of Sound Waves01:01

Perception of Sound Waves

4.7K
The human ear is not equally sensitive to all frequencies in the audible range. It may perceive sound waves with the same pressure but different frequencies as having different loudness. Moreover, the perception of sound waves depends on the health of an individual's ears, which decays with age. The health of one's ears may also be affected by regular exposure to loud noises.
The pitch of a sound depends on the frequency and the pressure amplitude of the source. Two sounds of the same...
4.7K
Problem-Solving: Tuning of a Guitar String01:04

Problem-Solving: Tuning of a Guitar String

1.2K
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...
1.2K
Perceiving Loudness, Pitch, and Location01:21

Perceiving 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...
1.3K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

How music-induced emotions affect sexual attraction: evolutionary implications.

Frontiers in psychology·2024
Same author

Vocal Vibrato Characteristics in Historical and Contemporary Opera, Operetta, and Schlager.

Journal of voice : official journal of the Voice Foundation·2023
Same author

The Tapping-PROMS: A test for the assessment of sensorimotor rhythmic abilities.

Frontiers in psychology·2023
Same author

Factor Structure, Psychometric Properties, and Validation of the Hungarian Version of the Experiences in Close Relationships Revised (ECR-R-HU) Questionnaire in a Nationally Representative Community Sample.

Journal of personality assessment·2022
Same author

Music's putative adaptive function hinges on a combination of distinct mechanisms.

The Behavioral and brain sciences·2021
Same author

Training therapists in emotionally focused therapy: A longitudinal and cross-sectional analysis.

Journal of marital and family therapy·2021

Related Experiment Video

Updated: May 2, 2026

fMRI Mapping of Brain Activity Associated with the Vocal Production of Consonant and Dissonant Intervals
11:15

fMRI Mapping of Brain Activity Associated with the Vocal Production of Consonant and Dissonant Intervals

Published on: May 23, 2017

7.0K

Perceiving individuality in harpsichord performance.

Réka Koren1, Bruno Gingras2

  • 1Goldsmiths College, University of London London, UK.

Frontiers in Psychology
|March 8, 2014
PubMed
Summary

Listeners can identify individual harpsichordist characteristics in short musical excerpts. Musicians demonstrated superior recognition accuracy compared to non-musicians, with tempo and note onset asynchrony being key distinguishing features.

Keywords:
categorizationharpsichordindividualitymusic performancemusical expertise

More Related Videos

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

4.2K
Uncovering Beat Deafness: Detecting Rhythm Disorders with Synchronized Finger Tapping and Perceptual Timing Tasks
09:04

Uncovering Beat Deafness: Detecting Rhythm Disorders with Synchronized Finger Tapping and Perceptual Timing Tasks

Published on: March 16, 2015

12.4K

Related Experiment Videos

Last Updated: May 2, 2026

fMRI Mapping of Brain Activity Associated with the Vocal Production of Consonant and Dissonant Intervals
11:15

fMRI Mapping of Brain Activity Associated with the Vocal Production of Consonant and Dissonant Intervals

Published on: May 23, 2017

7.0K
Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

4.2K
Uncovering Beat Deafness: Detecting Rhythm Disorders with Synchronized Finger Tapping and Perceptual Timing Tasks
09:04

Uncovering Beat Deafness: Detecting Rhythm Disorders with Synchronized Finger Tapping and Perceptual Timing Tasks

Published on: March 16, 2015

12.4K

Area of Science:

  • Music Perception and Cognition
  • Auditory Neuroscience
  • Performance Science

Background:

  • Investigating the recognition of individual performer characteristics in music is crucial for understanding auditory perception.
  • Previous research has explored listener's ability to identify familiar performers, but less is known about recognizing unfamiliar artists based on subtle performance nuances.

Purpose of the Study:

  • To determine if listeners can recognize individual characteristics of unfamiliar harpsichordists based on short musical excerpts.
  • To compare the performance of musicians and non-musicians in identifying performers.
  • To explore the influence of musical piece characteristics and performance data on recognition accuracy.

Main Methods:

  • Six professional harpsichordists recorded two Baroque pieces (a variation and a rondo) using a MIDI-equipped instrument.
  • Short excerpts (8-15s) from these recordings were used in a sorting task with 40 participants (20 musicians, 20 non-musicians).
  • MIDI performance data (tempo, note onset asynchrony) were analyzed and compared with listener sorting accuracy.

Main Results:

  • Participants successfully identified individual performer characteristics significantly above chance.
  • Musicians showed significantly higher grouping accuracy than non-musicians.
  • Grouping accuracy was higher for the rondo than for the variation, and only musicians could match performers across different pieces.
  • Tempo and note onset asynchrony were key predictors of perceived performer differences, with listeners relying on a holistic percept.

Conclusions:

  • Short musical excerpts contain sufficient information for listeners to recognize individual harpsichordist characteristics.
  • Musical training enhances the ability to discern subtle performance nuances and identify performers.
  • Tempo and note onset asynchrony are critical acoustic cues for distinguishing performers, suggesting a holistic processing approach by listeners.