Music transcription is a highly complex task that is difficult for automated algorithms, and equally challenging to people, even those with many years of musical training. Furthermore, there is a shortage of high-quality datasets for training automated transcription algorithms. In this research, we explore a semi-automated, crowdsourced approach to generate music transcriptions, by first runnin...

Melodies provide an important conceptual summarization of polyphonic audio. The extraction of melodic content has practical applications ranging from content-based audio retrieval to the analysis of musical structure. In contrast to previous transcription systems based on a model of the harmonic (or periodic) structure of musical pitches, we present a classification-based system for performing ...

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...

We present a probabilistic model of melodic process in modern Greek church chant. This largely oral tradition often relies on memorization and improvisation skills that are passed on from teacher to student by example, without explicit appeal to rules. The researcher is thus faced with the challenge of inferring the rules of the idiom from a sample corpus of chants. The structure of the rules w...

this paper introduces a technique for controlling a class of uncertain chaotic systems using an adaptive fuzzy proportional-integrator-derivative (pid) controller with h∞ tracking performance. the purpose of this work is to achieve optimal tracking performance of the controller using backtracking search algorithm (bsa). bsa, which is a novel heuristic algorithm, has an easy structure with singl...

The non-convex behavior presented by nonlinear systems limits the application of classical optimization techniques to solve optimal control problems for these kinds of systems. This paper proposes a hybrid algorithm, namely BA-SD, by combining Bee algorithm (BA) with steepest descent (SD) method for numerically solving nonlinear optimal control (NOC) problems. The proposed algorithm includes th...

in this study, we discuss the capacitated facility location-allocation problem with uncertain parameters in which the uncertainty is characterized by given finite numbers of scenarios. in this model, the objective function minimizes the total expected costs of transportation and opening facilities subject to the robustness constraint. to tackle the problem efficiently and effectively, an effici...

This report investigates the use of genetic algorithms to compose music and examines various additions to an existing system in order to improve the richness and expression of the system’s compositions. The core system uses a genetic algorithm to generate unique melodies. Genetic algorithms are an application of the biological evolutionary process to computing; new elements are introduced to th...

The New Zealand Digital Library offers several collections of information over the World Wide Web. Although full-text indexing is the primary access mechanism, musical collections can also be accessed through a novel melody retrieval system. In offering this service over a three-year period, we have had to face many practical challenges in building, maintaining, and administering diverse collec...

This paper describes a robust method for estimating the fundamental frequency (F0) of melody and bass lines in monaural realworld musical audio signals containing sounds of various instruments. Most previous F0-estimation methods had great difficulty dealing with such complex audio signals because they were designed to deal with mixtures of only a few sounds. To make it possible to estimate the...