-based retrieval in audio collections. Our approach supports audio, as well as symbolic queries and ranks results according to melodic similarity to the query. We introduce a beat-synchronous melodic representation consisting of salient melodic lines, which are extracted from the analyzed audio signal. We propose

investigate using direct correlation of beat-synchronous representations of music audio to find segments that are similar not only in feature statistics, but in the relative positioning of those features in tempo-normalized time. Given a large enough search database, good matches by this metric should have

Most of the popular music scores are written in a specific format, the lead sheet format. It sums up a song by representing the notes of the main melody, along with the chord sequence together with other cues such as style, tempo and time signature. This sort of representation is very common

supporting each semitone of the octave. To compare two recordings, we simply cross-correlate the entire beat-by-chroma representation for two tracks and look for sharp peaks indicating good local alignment between the pieces. Evaluation on a small set of 15 pairs of pop music cover versions identified within

A novel unsupervised method for automatic music structure analysis is proposed. Three types of audio features, namely the mel-frequency cepstral coefficients, the chroma features, and the auditory temporal modulations are employed in order to form beat-synchronous feature sequences modeling

A method for expressive melody synthesis is presented seeking to capture the prosodic (stress and directional) element of musical interpretation. An expressive performance is represented as a notelevel annotation, classifying each note according to a small alphabet of symbols describing the role of the note within a larger context. An audio performance of the melody is represented in terms of two time-varying functions describing the evolving frequency and intensity. A method is presented that transforms the expressive annotation into the frequency and intensity functions, thus giving the audio performance. The problem of expressive rendering is then cast as estimation of the most likely sequence of hidden variables corresponding to the prosodic annotation. Examples are presented on a dataset of around 50 folk-like melodies, realized both from hand-marked and estimated annotations. 1

A method for expressive melody synthesis is presented seeking to capture the structural and prosodic (stress, direction, and grouping) elements of musical interpretation. The interpretation of melody is represented through a hierarchical structural decomposition and a note-level prosodic annotation. An audio performance of the melody is constructed using the time-evolving frequency and intensity functions. A method is presented that transforms the expressive annotation into the frequency and intensity functions, thus giving the audio performance. In this framework, the problem of expressive rendering is cast as estimation of structural decomposition and the prosodic annotation. Examples are presented on a dataset of around 50 folk-like melodies, realized both from hand-marked and estimated annotations. 1.

This paper presents a representation for melodic segment classes and applies it to music data mining. Melody is modeled as a sequence of segments, each segment being a sequence of notes. These segments are assigned to classes through a knowledge representation scheme which allows the flexible

Chord progressions are the building blocks from which tonal music is constructed. The choice of a particular representation for chords has a strong impact on statistical modeling of the dependence between chord symbols and the actual sequences of notes in polyphonic music. Melodic prediction

Most of the existing methods for measuring melodic similarity use one-dimensional textual representations of music notation, so that melodic similarity can be measured by calculating editing distances. We view notes as weighted points in a two-dimensional space, with the coordinates