augmented downhill simplex method (adsm) is introduced here, that is a heuristic combination of downhill simplex method (dsm) with random search algorithm. in fact, dsm is an interpretable nonlinear local optimization method. however, it is a local exploitation algorithm; so, it can be trapped in a local minimum. in contrast, random search is a global exploration, but less efficient. here, rand...

The cuckoo search algorithm is a recently developedmeta-heuristic optimization algorithm, which is suitable forsolving optimization problems. To enhance the accuracy andconvergence rate of this algorithm, an improved cuckoo searchalgorithm is proposed in this paper. Normally, the parametersof the cuckoo search are kept constant. This may lead todecreasing the efficiency of the algorithm. To cop...

We present a full text search engine in a collection of lyrics (text of songs) and coded notes (symbolic melody) as a part of digital library of Bulgarian folklore songs.

MIREX 2005 is the second evaluation of algorithms related to music information retrieval (MIR). This document describes our submission to the MIREX audio melody extraction contest addressing the task of identifying the melody pitch contour from polyphonic musical audio. We use mainly a data-driven approach – implementing standard audio signal processing techniques like Fourier analysis, instant...

task assignment problem (tap) involves assigning a number of tasks to a number of processors in distributed computing systems and its objective is to minimize the sum of the total execution and communication costs, subject to all of the resource constraints. tap is a combinatorial optimization problem and np-complete. this paper proposes a hybrid meta-heuristic algorithm for solving tap in a h...

Abstract The melody feature mining of accordion scores is a relatively unpopular research topic. We discuss music's harmony configuration, chord and accompaniment configuration based on fractional differential equations. algorithm builds model for automatically generating pitch-melody meta-translation tables. At the same time, automation essential data acquisition realized. study found that whe...

Automatic extraction of the melody from polyphonic music recordings is a challenging problem for which no general solutions currently exist. We present a novel interface for semi-automatic melody extraction with the goal to provide highly accurate pitch tracks of the lead voice with minimal user intervention. Audio-visual feedback facilitates the validation of the obtained melodic contour, and ...

response surface methodology is a common tool in optimizing processes. it mainly concerns situations when there is only one response of interest. however, many designed experiments often involve simultaneous optimization of several quality characteristics. this is called a multiresponse surface optimization problem. a common approach in dealing with these problems is to apply desirability funct...

economic dispatch with valve point effect and prohibited operating zones (pozs) is a non-convex and discontinuous optimization problem. harmony search (hs) is one of the recently presented meta-heuristic algorithms for solving optimization problems, which has different variants. the performances of these variants are severely affected by selection of different parameters of the algorithm. intel...

Melodic segmentation is a fundamental yet unsolved problem in automatic music processing. At present most melody segmentation models rely on a ‘single strategy’ (i.e. they model a single perceptual segmentation cue). However, cognitive studies suggest that multiple cues need to be considered. In this paper we thus propose and evaluate a ‘multi-strategy’ system to automatically segment symbolica...