Abstract
| Original language | English |
|---|---|
| Pages (from-to) | 411-423 |
| Number of pages | 13 |
| Journal | Psychology of Music |
| Volume | 46 |
| Issue number | 3 |
| Early online date | 30 Jun 2017 |
| DOIs | |
| Publication status | Published - 1 May 2018 |
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Keywords
- emotion
- popular music
- voice
- technology
- computational modelling
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Popular music and the role of vocal melody in perceived emotion. / Beveridge, Scott; Knox, Don.
In: Psychology of Music, Vol. 46, No. 3, 01.05.2018, p. 411-423.Research output: Contribution to journal › Article
TY - JOUR
T1 - Popular music and the role of vocal melody in perceived emotion
AU - Beveridge, Scott
AU - Knox, Don
N1 - Acceptance email in SAN AAM: no embargo required
PY - 2018/5/1
Y1 - 2018/5/1
N2 - The voice plays a crucial role in expressing emotion in popular music. However, the importance of the voice in this context has not been systematically assessed. This study investigates the emotional effect of vocal features in popular music. In particular, it focuses on nonverbal characteristics, including vocal melody and rhythm. To determine the efficacy of these features they are used to construct a computational Music Emotion Recognition (MER) system. The system is based on the circumplex model that expresses emotion in terms of arousal and valence. Two independent studies were used to develop the system. The first study established models for predicting arousal and valence based on a range of acoustical and nonverbal vocal features. The second study was used for independent validation of these models. Results show that features describing rhythmic qualities of the vocal line produce emotion models with a high level of generalizability. In particular these models reliably predict emotional valence, a well known issue in existing Music Emotion Recognition systems.
AB - The voice plays a crucial role in expressing emotion in popular music. However, the importance of the voice in this context has not been systematically assessed. This study investigates the emotional effect of vocal features in popular music. In particular, it focuses on nonverbal characteristics, including vocal melody and rhythm. To determine the efficacy of these features they are used to construct a computational Music Emotion Recognition (MER) system. The system is based on the circumplex model that expresses emotion in terms of arousal and valence. Two independent studies were used to develop the system. The first study established models for predicting arousal and valence based on a range of acoustical and nonverbal vocal features. The second study was used for independent validation of these models. Results show that features describing rhythmic qualities of the vocal line produce emotion models with a high level of generalizability. In particular these models reliably predict emotional valence, a well known issue in existing Music Emotion Recognition systems.
KW - emotion
KW - popular music
KW - voice
KW - technology
KW - computational modelling
U2 - 10.1177/0305735617713834
DO - 10.1177/0305735617713834
M3 - Article
VL - 46
SP - 411
EP - 423
JO - Psychology of Music
JF - Psychology of Music
SN - 0305-7356
IS - 3
ER -