MeloSol Corpus

This data report introduces the MeloSol corpus, a collection of 783 Western, tonal monophonic melodies. I first begin by describing the overall structure of the corpus, then proceed to detail its contents as they would be helpful for researchers working in the field of computational musicology or music psychology. In order to contextualize the MeloSol corpus in relation to other corpora in the literature, I present descriptive statistics of the MeloSol corpus alongside the The Densmore Collection of Native American Song and The Essen Folk Song Collection. I suggest possible future uses of this corpus including extending research investigating Western tonality, perceptual experiments needing novel ecological stimuli, or work involving the musical generation of monophonic melodies in the style of Western tonal music.

The MeloSol Corpus

This data report introduces the MeloSol corpus, a collection of 783 Western, tonal monophonic melodies. I first begin by describing the overall structure of the corpus, then proceed to detail its contents as they would be helpful for researchers working in the field of computational musicology or music psychology. In order to contextualize the MeloSol corpus in relation to other corpora in the literature, I present descriptive statistics of the MeloSol corpus alongside the The Densmore Collection of Native American Song and The Essen Folk Song Collection. I suggest possible future uses of this corpus including extending research investigating Western tonality, perceptual experiments needing novel ecological stimuli, or work involving the musical generation of monophonic melodies in the style of Western tonal music.

A computer-based framework to analyze continuous and discontinuous textural works using psychoacoustics audio descriptors

This paper discusses a computer-aided musical analysis methodology anchored on psychoacoustics audio descriptors. The musicological aim is to analyze compositions centered on timbre manipulations that explore sound masses and granular synthesis as their builders. Our approach utilizes two psychoacoustics models: 1) Critical Bandwidths and 2) Loudness, and two spectral features extractors: 1) Centroid and 2) Spectral Spread. A review of the literature, contextualizing the state-of-art of audio descriptors, is followed by a definition of the musicological context guiding our analysis and discussions. Further, we present results on a comparative analysis of two acousmatic pieces: Schall (1995) of Horacio Vaggione and Asperezas (2018) of Micael Antunes. As electroacoustic works, there are no scores, therefore, segmentation and the subsequent musical analysis is an important issue to be solved. Consequently, the article ends discussing the methodological implication of the computational musicology addressed here.