Modeling Perceived Emotion With Continuous Musical Features
By Emery Schubert. 2004
324 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Music, Signal Processing
View Paper: https://www.semanticscholar.org/paper/ca9da54d75f2780cb84dc38636e7cbb50aaed977
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Tuomas Eerola
- P. Evans
- Eckart Altenmüller
- Reinhard Kopiez
- Oliver Grewe
- Björn H Katzur
- F. D. Dillman Carpentier
- Robert F. Potter
In Music
- Tuomas Eerola
- P. Evans
- Reinhard Kopiez
- Oliver Grewe
- Eckart Altenmüller
- Björn H Katzur
- Joe Wolfe
- F. D. Dillman Carpentier
In Signal Processing
- Tuomas Eerola
- Eckart Altenmüller
- Oliver Grewe
- Reinhard Kopiez
- Björn H Katzur
- P. Evans
- F. D. Dillman Carpentier
- Robert F. Potter
Citations in the corpus
- Multidimensional scaling of emotional responses to music: The effect of musical expertise and of the duration of the excerpts (2005, background): “…of expressive content of Western music in multidimensional space has been developed (Hevner, 1935; Juslin, 2001; Madsen, 1997; Russell, 1980; Schubert, 1996, 2001, 2004) and specific neurophysiological reactions associated with the arousal and valence dimensions were also reported (Schmidt…”
- Effects of Music on Physiological Arousal: Explorations into Tempo and Genre (2007, background): “For example, studies testing the effects of tempo and mode (major or minor key) on self-reported perceived arousal and mood have found that, whereas mode typically affects mood, increased tempo leads to increased self-reported arousal ( Holbrook & Anand, 1990 ; Husain, Thompson, & Schellenberg, 200”
- Does timbral brightness scale with frequency and spectral centroid (2006, background): “This is a fortuitous result for researchers looking for acoustic models of brightness in rich and complex textures such as orchestras [14], bands and ensembles, in which many different F0s are simultaneously present and in which the range of notes exceeds two octaves.”
- Relationships between expressed and felt emotions in music (2008, background): “Studies have also found musical characteristics that are correlated with particular expressed emotions (Hevner, 1935, 1936; Juslin & Laukka, 2004; Schubert, 2004).”
- Emotional response to musical repetition. (2012, background): “…model’s performance in detecting phrase boundaries from emotional responses is compared with its performance from physical intensity and tempo measures of the musical recordings, as these acoustic features can have a strong influence on listeners’ emotional responses to music (Schubert, 2004).”
- Chills in different sensory domains: Frisson elicited by acoustical, visual, tactile and gustatory stimuli (2011, methodology): “There are techniques which allow a continuous rating of feelings over time (Schubert, 2001, 2004).”
- Are the Emotions Expressed in Music Genre-specific? An Audio-based Evaluation of Datasets Spanning Classical, Film, Pop and Mixed Genres (2011, methodology): “Turning now to the prediction of arousal ratings, which has previously been an easier concept than valence to predict from acoustic features (Schubert, 2004; Leman et al., 2005; Coutinho & Cangelosi, 2009; Eerola et al., 2009), Table 5 provides the overview of the model performances within and…”