Structural music analysis is used to reveal the inner workings of a musical composition by recursively applying reductions to the music, resulting in a series of successively more abstract views of the composition. Schenkerian analysis is the most well-developed type of structural analysis, and while there is a wide body of research on the theory, there is no well-defined algorithm to perform s...

Extraction of repetitive patterns of the main melody in a given music piece is investigated in this research. A dictionarybased approach is proposed to achieve the task. The input to the proposed system is a piece of music consisting of numerical music scores (e.g. the MIDI file format), and other music forms such as the sound wave have to be converted to numerical music scores first. In the sy...

The MUSIC algorithm, and its extension for imaging sparse extended objects, with noisy data is analyzed by compressed sensing (CS) techniques. A thresholding rule is developed to augment the standard MUSIC algorithm. The notion of restricted isometry property (RIP) and an upper bound on the restricted isometry constant (RIC) are employed to establish sufficient conditions for the exact localiza...

Automatic music composition has been a challenging, interesting, and yet still much to be explored task primarily because it is hard to distinguish which song is good or bad which significantly impedes the automated composition process. Despite this difficulty, automated music composition would benefit many groups of people who ought to use a piece of their own music, as composed for them by an...

This paper describes generalizations of the MUSIC and root-MUSIC algorithms for direction of arrival (DOA) estimation to arrays composed of multiple translated subarrays. The advantage of these new approaches is that the DOAs can be estimated using either a one-dimensional search or by rooting a polynomial, as opposed to a multidimensional search as required by the Multiple Invariance (MI)-ESPR...

This paper aims at developing an Automatic Music Genre Classification system and focuses on calculating algorithms that (ideally) can predict the music class in which a music file belongs. The proposed system is based on techniques from the fields of Signal Processing, Pattern Recognition, and Information Retrieval, as well as Heuristic Optimization Methods. One thousand music files are used fo...

We present a suite of tools under development for music creation and performance which combines an evolving music generation algorithm with an evolving motion-sensitive interface. The system can be used as a dance-driven musical instrument that allows an immediate physical interaction with music, because the evolutionary algorithm generates live code, that evolves during the performance. The cl...

A method for the estimation of music similarity based on the use of the standardized variogram as clustering algorithm for Mel Frequency Cepstral Coefficients, is detailed in this report. The standardized variogram is used for the compression of the information of MFCCs. The algorithm is submitted to the Audio Music Similarity task of MIREX 2011, in occasion of the 12th ISMIR Conference.

A fast low-cost through-the-wall radar imaging (TWRI) system, based on a vector network analyzer (VNA), couple of switches and an array Vivaldi antennas, has been designed, realized, tested. To solve the TWRI inversion problem, original theoretical modeling for class techniques whose basic functions are cross-range Fourier transform (FT) scattered field its covariance operator proposed. Using t...

Digital music editing is a standard process in music production for correcting mistakes and enhancing quality, but this is tedious and timeconsuming. The Intelligent Music Editor, or IMED, automates routine music editing tasks using advanced techniques for music transcription (especially score alignment), and signal processing. The IMED starts with multiple recorded tracks and a detailed score ...