Due to the scarcity of labeled data, most melody extraction algorithms do not rely on fully data-driven processing blocks but rather on careful engineering. For example, the Melodia melody extraction algorithm employs a pitch contour selection stage that relies on a number of heuristics for selecting the melodic output. In this paper we explore the use of a discriminative model to perform purel...

This experiment was aimed at studying the changes in the brain electrical activity associated with some aspects of prosodic processing and at comparing the results with those obtained for the melodic processing of short musical phrases, by manipulating the F0 of the final word/note. Both musicians and non-musicians were presented with French sentences, ending with prosodically congruous, weakly...

We demonstrate a data-driven unsupervised approach for the discovery of melodic patterns in large collections of Indian art music recordings. The approach first works on single recordings and subsequently searches in the entire music collection. Melodic similarity is based on dynamic time warping. The task being computationally intensive, lower bounding and early abandoning techniques are appli...

Rhythm and melody are two basic characteristics of music. Performing musicians have to pay attention to both, and avoid errors in either aspect of their performance. To investigate the neural processes involved in detecting melodic and rhythmic errors from auditory input we tested musicians on both kinds of deviations in a mismatch negativity (MMN) design. We found that MMN responses to a rhyth...

A number of different cues allow listeners to perceive musical meter. Three experiments examined effects of melodic and temporal accents on perceived meter in excerpts from folksongs, scored in 6/8 or 3/4 meter. Participants matched excerpts with one of two metrical drum accompaniments. Melodic accents included contour change, melodic leaps, extreme register, melodic repetition, and harmonic rh...

We propose a representation for musical chords that allows us to include domain knowledge in probabilistic models. We then introduce a graphical model for harmonization of melodies that considers every structural components in chord notation. We show empirically that root notes progressions exhibit global dependencies that can be better captured with a tree structure related to the meter than w...

Melodic Analysis with jMusic – Brown et al. Page 1 Statistical analysis of the features of diatonic music using jMusic software.

This article describes how the tonal elements of two common Spanish intonation contours –the falling statement and the low-rising-falling request– align with the segmental string in broad-focus utterances differing in number of prosodic words. Using an imitation-and-completion task, we show that (i) the last stressed syllable of the utterance, traditionally viewed as carrying the ‘nuclear’ acce...

In this paper, we describe an approach to learning expressive performance rules from monophonic Jazz standards recordings by a skilled saxophonist. We have first developed a melodic transcription system which extracts a set of acoustic features from the recordings producing a melodic representation of the expressive performance played by the musician. We apply machine learning techniques to thi...

This extended abstract is for the “Audio Melody Extraction” contest of MIREX2009. We describe an algorithm that estimates the melody line from a music audio signal. The algorithm is comprised of two stages: melodic component enhancement and melody line tracking. Only a few researchers used this approach because of difficulties of the melody enhancement. Our enhancement algorithm focuses on temp...