Konstantinos Trochidis

• Research Associate at New York University Abu Dhabi

A key issue in designing personalized music affective applications is to find effective ways to direct emotion by music selection with appropriate combination of acoustic features. The aim of this study is to understand the dynamic relationships between acoustic features, physiology and affective states. To model these relationships we used a multi...

In this paper we explore a method for automatically generating Carnatic style rhythmic. The method uses a set of annotated Carnatic percussion performances to generate new rhythmic patterns. The excerpts are short percussion solo performances in ādi tāla (8 beat-cycle), performed in three different tempi (slow/moderate/fast). All excerpts were manu...

INTRODUCTION Recently, the focus of computational music analysis is extending from Eurogenetic music to include music of other cultures. Serra (2011, 2014) and Bozkurt et al. (2014) present a review of the current methodologies in computational analysis of Indian and Turkish music and discuss the potential of including cultural-specific knowledge t...

INTRODUCTION Recently, the focus of computational music analysis is extending from Eurogenetic music to include music of other cultures. Serra (2011, 2014) and Bozkurt et al. (2014) present a review of the current methodologies in computational analysis of Indian and Turkish music and discuss the potential of including cultural-specific knowledge t...

The most important feature of rhythm is its organization in hierarchical metrical cycles of various levels. Estimating the different rhythmic periodicities such as tempo and music cycle from audio is important to gain insight into the rhythmic information of the music signal in different time scales. Several approaches have been proposed in the pas...

Background Musical characteristics, such as tempo, mode, loudness, pitch, timbre, and so on, are inherent properties of the musical structure, and their influence on emotional responses to music has been shown [1], [2]. On the other hand, there is a large amount of studies establishing the relationship between physiological changes and musical emot...

A key issue in designing personalized music affective applications is to find effective ways to direct emotion by music selection with appropriate combination of acoustic features. The aim of this study is to understand the dynamic relationships between acoustic features, physiology and affective states. To model these relationships we used a multi...

The aim of this chapter is to summarize and present the current knowledge about music and emotion from a multi-disciplinary perspective. Existing emotional models and their adequacy in describing emotional responses to music are described and discussed in different applications. The underlying emotion induction mechanisms beside cognitive appraisal...

The combined interactions of mode and tempo on emotional responses to music were investigated using both self-reports and electroencephalogram (EEG) activity. A musical excerpt was performed in three different modes and tempi. Participants rated the emotional content of the resulting nine stimuli and their EEG activity was recorded. Musical modes i...

This paper examines the induction of emotions while listening to Romantic orchestral music. The study seeks to explore the relationship between subjective ratings of felt emotion and acoustic and physiological features. We employed 75 musical excerpts as stimuli to gather responses of excitement and pleasantness from 20 participants. During the exp...

In the present study correlations between electroencephalographic (EEG) activity and emotional responses during music listening were investigated. Carefully selected musical excerpts of classical music tested in previous studies were employed as stimuli. During the experiments EEG activity was recorded in different regions without a-priori defining...

This paper focuses on emotion recognition and perception inRomantic orchestral music. The study seeks to explore the relationship betweenperceived emotion and acoustic and physiological features. Seventy-fivemusical excerpts are used as stimuli to gather psychophysiological andbehavioral responses of excitement and pleasantness from participants. A...

Tempo and beat are among the most important features of Western music. Owing to the perceptual nature of tempo, its automatic analysis and extraction remains a difficult task for a large variety of music genres. Western music notation represents musical events using a hierarchical metrical structure distinguishing different time scales. This hierar...

This paper focuses on emotion recognition and under-standing in Contemporary Western music. The study seeks to investigate the relationship between perceived emotion and musical features in the fore-mentioned mus-ical genre. A set of 27 Contemporary music excerpts is used as stimuli to gather responses from both musicians and non-musicians which ar...

This work studies the task of automatic emotion detection in music. Music may evoke more than one different emotion at the same time. Single-label classification and regression cannot model this multiplicity. Therefore, this work focuses on multi-label classification approaches, where a piece of music may simultaneously belong to more than one clas...

This extended abstract details a submission to the Music In- formation Retrieval Evaluation eXchange in the audio tag classification task, a new task introduced this year. We model the problem as a multilabel classification task and employ suitable learning algorithms from the Mulan toolkit 1 .