Many problems concerning the theory and technology of rhythm, melody, and voice-leading are fundamentally geometric in nature. It is therefore not surprising that the field of computational geometry can contribute greatly to these problems. The interaction between computational geometry and music yields new insights into the theories of rhythm, melody, and voice-leading, as well as new problems...

Visual information has been observed to be crucial for audience members during musical performances. The present study used an eye tracker to investigate audience members' gazes while appreciating an audiovisual musical ensemble performance, based on evidence of the dominance of musical part in auditory attention when listening to multipart music that contains different melody lines and the joi...

Melodies and chords compose a basic music piece. Assigning chords for a music melody is an important step in music composition. This project is to apply machine learning techniques to assign chords to follow several measures of melody and generate pleasant music pieces. In real music chord assignment process, to choose which chord to use for a measure, musicians normally consider the notes in t...

The evolutional course of music through centuries has shown an incremental use of chromatic variations by composers and performers for melodies’ and music sounds’ enrichment. This paper presents an integrated model, which contributes to the calculation of musical chromaticism. The model takes into account both horizontal (melody) and vertical chromaticism (harmony). The proposed perceptually ba...

A huge amount of audio data is accessible to everyone by on-line or off-line information services and it is necessary to develop techniques to automatically describe and deal with this data in a meaningful way. In the particular context of music content processing it is important to take into account the melodic aspects of the sound. The goal of this article is to review the different technique...

The objective of this work is to find the melodic line in MIDI files. Usually, the melodic line is stored in a single track, while the other tracks contain the accompaniment. The detection of the track that contains the melodic line can be very useful for a number of applications, such as melody matching when searching in MIDI databases. The system was developed using WEKA. First, a set of desc...

This paper presents a system for the transcription of singing voice melodies in polyphonic music signals based on Deep Neural Network (DNN) models. In particular, a new DNN system is introduced for performing the f0 estimation of the melody, and another DNN, inspired from recent studies, is learned for segmenting vocal sequences. Preparation of the data and learning configurations related to th...

Automatic melody segmentation is an important yet unsolved problem in Music Information Retrieval. Research in the field of Music Cognition suggests that previous listening experience plays a considerable role in the perception of melodic segment structure. At present automatic melody segmenters that model listening experience commonly do so using unsupervised statistical learning with ‘non-sel...

We present an automatic genre classification system based on melodic features. First a ground truth genre dataset composed of polyphonic music excerpts is compiled. Predominant melodic pitch contours are then estimated, from which a series of descriptors is extracted. These features are related to melody pitch, variation and expressiveness (e.g. vibrato characteristics, pitch distributions, con...

In this paper we provide a description of our melody extraction algorithm submitted to the MIREX 2010 competition. We start with a brief introduction to the task of melody extraction, followed by an overview of our proposed method. The data collections and metrics used for the evaluation are described, followed by the presentation of the results and some comments on the performance of our appro...