The MIREX (Music Information Retrieval Evaluation eXchange) framework provides a common set of data to evaluate and compare a vast variety of MIR systems. This paper describes our submission to the audio melody extraction evaluation addressing the task of identifying the melody pitch contour from polyphonic musical audio. It shall give an overview about the used methods and a discussion of the ...

job shop scheduling problem has significant importance in many researchingfields such as production management and programming and also combinedoptimizing. job shop scheduling problem includes two sub-problems: machineassignment and sequence operation performing. in this paper combination ofparticle swarm optimization algorithm (pso) and gravitational search algorithm(gsa) have been presented f...

this paper proposes a novel hybrid algorithm namely apso-bfo which combines merits of bacterial foraging optimization (bfo) algorithm and adaptive particle swarm optimization (apso) algorithm to determine the optimal pid parameters for control of nonlinear systems. to balance between exploration and exploitation, the proposed hybrid algorithm accomplishes global search over the whole search spa...

This paper describes the submissions to the MIREX 2006 Query by Singing/Humming task delivered by Fraunhofer IDMT. The approach presented here is based on extracting the pitch out of monophonic singing (or humming), and hereafter segmenting and quantising it into a melody composed of discrete notes. Finally this melody is compared to a database of indexed melodies, using an error tolerant simil...

We present an algorithm for song composition using prosody of Japanese lyrics. Since Japanese is a “pitch accent” language, listener’s apprehension is strongly affected by the pitch motions of the speaker. For example, the meaning of Japanese word “ha-shi” changes with the pitch. It means “bridge” with an upward pitch motion, and “chopsticks” with the motion inversed. A melody attached to the l...

There has been a recent explosion of interest in digital music libraries. In particular, interactive melody retrieval is a striking example of a search paradigm that differs radically from the standard full-text search. Many different techniques have been proposed for melody matching, but the area lacks standard databases that allow them to be compared on common grounds—and copyright issues hav...

Current melody extraction approaches perform poorly on the genre of opera [1, 2]. The singer’s formant is defined as a prominent spectral-envelope peak around 3 kHz found in the singing of professional Western opera singers [3]. In this paper we introduce a novel melody extraction algorithm based on this feature for opera signals. At the front end, it automatically detects the singer’s formant ...

We present preliminary work on automatic human-readable melody characterization. In order to obtain such a characterization, we (1) extract a set of statistical descriptors from the tracks in a dataset of MIDI files, (2) apply a rule induction algorithm to obtain a set of (crisp) classification rules for melody track identification, and (3) automatically transform the crisp rules into fuzzy rul...

In the research on content-based music retrieval, the fixed length of window is generally used to extract the features of melody. It has separated one fragment of music melody into multiple shorter window data. This will lose the whole feature of music melody and cause lower accuracy of retrieval. Therefore, current content-based music retrieval algorithms are discussed in detail and the emphas...

Automatic melody extraction techniques can be used to index and retrieve songs in music databases. Here, we consider a piece of music consisting of numerical music scores (e.g. the MIDI file format) as the input. Segmentation is done based on the tempo information, and a music score is decomposed into bars. Each bar is indexed, and a bar index table is built accordingly. Two approaches were pro...