This thesis presents a knowledge-based system for composition of piano minuets in early classical style (e.g. young W.A. Mozart). The problem takes an intermediate position between restricted and free problems of computerized composition of music. The composition process is split into 3 subtasks: structure planning, melody composition and bass composition. The structure plan consists of two lev...

this article proposes a new algorithm for finding a good approximate set of non-dominated solutions for solving generalized traveling salesman problem. Random gravitational emulation search algorithm (RGES (is presented for solving traveling salesman problem. The algorithm based on random search concepts, and uses two parameters, speed and force of gravity in physics. The proposed algorithm is ...

This article proposes a method for the automatic transcription of the melody, bass line, and chords in polyphonic pop music. The method uses a frame-wise pitch-salience estimator as a feature extraction front-end. For the melody and bass-line transcription, this is followed by acoustic modeling of note events and musicological modeling of note transitions. The acoustic models include a model fo...

This extended abstract outlines an efficient approach for the extraction of multiple fundamental frequencies from polyphonic musical audio. The algorithm consists of three analysis steps. At first a multi resolution spectral analysis is performed on the audio signal. Then, the most salient pitches are identified using a pitch extraction algorithm, which is designed to identify the predominant p...

Automatic song writing aims to compose a (lyric and/or melody) by machine, which is an interesting topic in both academia and industry. In automatic writing, lyric-to-melody generation melody-to-lyric are two important tasks, of usually suffer from the following challenges: 1) paired lyric melody data limited, affects quality considering lot training needed due weak correlation between melody; ...

In this paper, a new approach for pitch estimation in polyphonic musical audio is presented. The algorithm is based on the pair-wise analysis of spectral peaks. The idea of the technique lies in the identification of partials with successive (odd) harmonic numbers. Since successive partials of a harmonic sound have well defined frequency ratios, a possible fundamental can be derived from the in...

accurate and effective electricity price forecasting is critical to market participants in order to make an appropriate risk management in competitive electricity markets. market participants rely on price forecasts to decide on their bidding strategies, allocate assets and plan facility investments. however, due to its time variant behavior and non-linear and non-stationary nature, electricity...