A Computationally Efficient Scheme for Dominant Harmonic Source Separation

Lagrange, Mathieu; Martins, Luís Gustavo; Tzanetakis, George

doi:10.1109/icassp.2008.4517572

Cited by 2 publications

(1 citation statement)

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“…• SUM: histogram sum (indication of beat strength) Subsequently, HWPS, a feature following similar principles has been proposed and integrated into Marsyas to calculate harmonicity by taking "into account spectral information in a global manner" [83].…”

Section: Harmonically Wrapped Peak Similarity (Hwps)mentioning

confidence: 99%

Audio Features for Music Emotion Recognition: A Survey

Panda

Malheiro

Paiva

2023

IEEE Trans. Affective Comput.

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The design of meaningful audio features is a key need to advance the state-of-the-art in Music Emotion Recognition (MER). This work presents a survey on the existing emotionally-relevant computational audio features, supported by the music psychology literature on the relations between eight musical dimensions (melody, harmony, rhythm, dynamics, tone color, expressivity, texture and form) and specific emotions. Based on this review, current gaps and needs are identified and strategies for future research on feature engineering for MER are proposed, namely ideas for computational audio features that capture elements of musical form, texture and expressivity that should be further researched. Finally, although the focus of this article is on classical feature engineering methodologies (based on handcrafted features), perspectives on deep learning-based approaches are discussed.

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Section: Harmonically Wrapped Peak Similarity (Hwps)mentioning

confidence: 99%

Audio Features for Music Emotion Recognition: A Survey

Panda

Malheiro

Paiva

2023

IEEE Trans. Affective Comput.

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European Piano Schools : Russian , German and French classical piano interpretation and technique

Lourenço¹

2010

CITAR Journal

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The goal of this research is to characterize representative performances by famous pianists in order to determine main influential trends in performance, derived specifically from traditional piano practices referred to as National Piano Schools. Previous research (Lourenço, 2005, 2007) has shown strong musical correlation of particular characteristics, namely the aesthetic, the technical, the historic and the repertoire. The concept of piano interpretation school is a useful concept for analyzing the universe of piano performance. Piano pedagogy literature of each European National Piano School has been analyzed together with an empirical audio analysis of recordings through a check-list survey. Overall the main National Piano Schools consist of three essential branches: the Russian school; the German school; the French school. The identification of National Piano Schools provides a powerful framework of study and an awareness of Europe's elusive music heritage and it main influences. Furthermore, as pianists use their whole body to enhance their communication of the music's spiritual, emotional and dramatic essence, this study also aims to contribute into research on performance practice

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A Computationally Efficient Scheme for Dominant Harmonic Source Separation

Cited by 2 publications

References 10 publications

Audio Features for Music Emotion Recognition: A Survey

Audio Features for Music Emotion Recognition: A Survey

European Piano Schools : Russian , German and French classical piano interpretation and technique

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