A Study of Cultural Dependence of Perceived Mood in Greek Music

Several algorithms have been developed in the music information retrieval community for predicting mood in music in order to facilitate organising and accessing large audio collections. Little attention has been paid however to how perceived emotion depends on cultural factors, such as listeners’ acculturation or familiarity with musical background or language. In this study, we examine this dependence in the context of Greek music. A large representative database of Greek songs has been created and sampled observing predefined criteria such as the balance between Eastern and Western influenced musical genres. Listeners were then asked to rate songs according to their perceived mood. We collected continuous ratings of arousal and valence for short song excerpts and also asked participants to select a mood tag from a controlled mood vocabulary that best described the music. We analysed the consistency of ratings between Greek and non-Greek listeners and the relationships between the categorical and dimensional representations of emotions. Our results show that there is a greater agreement in listener’s judgements with Greek background compared to the group with varying background. These findings suggest valuable implications on the future development of mood prediction systems.

[1]  Y. Song,et al.  Using Tags to Select Stimuli in the Study of Music and Emotion , 2013 .

[2]  Yi-Hsuan Yang,et al.  Cross-cultural Music Mood Classification: A Comparison on English and Chinese Songs , 2012, ISMIR.

[3]  Klaus R. Scherer,et al.  Advocating a Componential Appraisal Model to Guide Emotion Recognition , 2012, Int. J. Synth. Emot..

[4]  Marc Leman,et al.  A User-Oriented Approach to Music Information Retrieval , 2006, Content-Based Retrieval.

[5]  Yannis Stylianou,et al.  Parataxis: Morphological Similarity in Traditional Music , 2010, ISMIR.

[6]  Petri Toiviainen,et al.  Prediction of Multidimensional Emotional Ratings in Music from Audio Using Multivariate Regression Models , 2009, ISMIR.

[7]  Daniel Västfjäll,et al.  How does music evoke emotions? Exploring the underlying mechanisms. , 2010 .

[8]  Mark B. Sandler,et al.  A Semantic Space for Music Derived from Social Tags , 2007, ISMIR.

[9]  Gail Holst-Warhaft Road to Rembetika: Music of a Greek Sub-Culture - Songs of Love, Sorrow and Hashish , 1994 .

[10]  György Fazekas,et al.  Semantic models of musical mood: Comparison between crowd-sourced and curated editorial tags , 2013, 2013 IEEE International Conference on Multimedia and Expo Workshops (ICMEW).

[11]  T. Eerola,et al.  Perceived complexity of western and African folk melodies by western and African listeners , 2006 .

[12]  T. Eerola,et al.  A comparison of the discrete and dimensional models of emotion in music , 2011 .

[13]  Zhouyu Fu,et al.  A Survey of Audio-Based Music Classification and Annotation , 2011, IEEE Transactions on Multimedia.

[14]  Tuomas Eerola,et al.  Semantic Computing of Moods Based on Tags in Social Media of Music , 2013, IEEE Transactions on Knowledge and Data Engineering.

[15]  Tuomas Eerola,et al.  A Review of Music and Emotion Studies: Approaches, Emotion Models, and Stimuli , 2013 .

[16]  Youngmoo E. Kim,et al.  MoodSwings: A Collaborative Game for Music Mood Label Collection , 2008, ISMIR.

[17]  T. Eerola Are the Emotions Expressed in Music Genre-specific? An Audio-based Evaluation of Datasets Spanning Classical, Film, Pop and Mixed Genres , 2011 .

[18]  J. Stephen Downie,et al.  Survey Of Music Information Needs, Uses, And Seeking Behaviours: Preliminary Findings , 2004, ISMIR.

[19]  J. Gower Generalized procrustes analysis , 1975 .

[20]  György Fazekas,et al.  Music Emotion Recognition: From Content- to Context-Based Models , 2012, CMMR.

[21]  Tao Li,et al.  Detecting emotion in music , 2003, ISMIR.

[22]  Yading Song,et al.  Evaluation of Musical Features for Emotion Classification , 2012, ISMIR.

[23]  A. Gregory,et al.  Cross-Cultural Comparisons in the Affective Response to Music , 1996 .

[24]  Yi-Hsuan Yang,et al.  A Regression Approach to Music Emotion Recognition , 2008, IEEE Transactions on Audio, Speech, and Language Processing.

[25]  J. Russell A circumplex model of affect. , 1980 .

[26]  T. Georgiades,et al.  Greek music, verse, and dance , 1973 .

[27]  Xiao Hu,et al.  A Cross-cultural Study of Music Mood Perception between American and Chinese Listeners , 2012, ISMIR.

[28]  Wolfgang Nejdl,et al.  Can all tags be used for search? , 2008, CIKM '08.

[29]  M. Bradley,et al.  Affective Norms for English Words (ANEW): Instruction Manual and Affective Ratings , 1999 .

[30]  George Tzanetakis,et al.  Automatic Musical Genre Classification of Audio Signals , 2001, ISMIR.