Discrimination and Evaluation of Trichords
Bibliographic Data
| ID | 4390334 |
|---|---|
| Authors | Tuire Kuusi (0000-0003-2757-6328, Sibelius Academy, corresponding author) |
| Year | 2009 |
| Volume | 15 |
| Issue | 5 |
| Publication date | 2009-10-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Music Theory Online (JOURNAL) |
| Journal identifiers | ISSN: 1067-3040 • E-ISSN: 1067-3040 |
| Publisher | Society for Music Theory (PUBLISHER • US) |
| DOI | 10.30535/mto.15.5.3 |
| OpenAlex | W2301715411 |
| Language | EN |
| Citations received | 2 |
| References cited | 29 |
This study explores how listeners evaluate trichords, both traditional and nontraditional. There were two aims: to clarify the role of set-class identity for evaluating and to analyze which factors in chord voicing guide evaluations. In the first of two experiments, participants were asked to pick one chord from a sequence of four. The interest was in how systematically chords representing the same set class were grouped and how well chords representing different set-classes were distinguished; the experiment focused on structural aspects (set class). In a second experiment, participants were asked to describe individual chords with freely chosen adjectives. This experiment focused on perceptual evaluations and whether certain emotional expressions were associated with certain chordal characteristics. In Experiment 1, 52.2% of the participants' responses were made according to set class. In Experiment 2, a total of 716 words were given in responses, of which 348 were different. In both experiments the degree of consonance and the familiarity of the chords were the most important factors. Some chord grouping, representing the same set class, was also found. In Experiment 1, an additional factor was pitch-class content, and in Experiment 2, chord span
Natural language processing · Perception · Speech recognition · Voice · Computer Science · Mathematics · Multisensory perception and integration · Phonetics and Phonology Research · Psychology · Speech and Audio Processing · Artificial Intelligence
Emotion And Adaptation
Tonal Consonance and Critical Bandwidth
Emotion perceived and emotion felt
Strong Experiences Related to Music
Aesthetic responses to music
The Consonance and the Context Guiding the Participants' Ratings of Chords Representing Different Set-Classes
The Primacy of Beauty in Judging the Aesthetics of Objects
The Aural Perception of Similarity in Nontraditional Chords Related by Octave Equivalence
Emotion knowledge
A circumplex model of affect
An argument for basic emotions
Interval-class and Order of Presentation Affect Interval Discrimination
Chord span and other chordal characteristics affecting connections between perceived closeness and set-class similarity
The Role of Set-Class Identity in the Estimation of Chords
| Citations per year | 0.13 |
|---|---|
| Citation span | 2010 - 2025 (16) |
| Highly cited | No |