A program using rules of music theory was written to create original compositions. Following the rules of music theory guarantees harmonious compositions, but certain aspects of musical composition cannot be defined by music theory. It is in these aspects of musical composition where the human mind uses creativity. The current research utilizes a genetic algorithm to make decisions that cannot ...

Recent advances in music information retrieval have enabled users to query a database by singing or humming into a microphone. The queries are often inaccurate versions of the original songs due to singing errors and errors introduced in the music transcription process. In this paper, we present the Time-Warped Longest Common Subsequence algorithm (T-WLCS), which deals with singing errors invol...

We present a system that is based on the non-negative matrix factorisation (NMF) algorithm and is able to transcribe drum onset events in polyphonic music. The magnitude spectrogram representation of the input music is divided by the NMF algorithm into source spectra and corresponding time-varying gains. Each of these source components is classified as a drum instrument or non-drum sound and a ...

The harmony search (HS) is a music-inspired evolutionary algorithm, mimicking the improvisation process of music players (Geem et al., 2001). The HS is simple in concept, few in parameters, and easy in implementation, with theoretical background of stochastic derivative (Geem, 2007a). The algorithm was originally developed for discrete optimization and later expanded for continuous optimization...

Music collections are commonly represented as plain textual lists of artist, title, album etc. for each contained music track. The large volume of personal music libraries makes them difficult to browse and access for users. In respect to possible information visualization techniques, no established convenient user interfaces exist. By using a spherical self-organizing map algorithm on low leve...

Interest in automatic music mood classification is increasing because it could enable people to browse and manage their music collections by means of the music’s emotional expression complementary to the widely used music genres. We continue our work on designing a well defined ground-truth database for music mood classification and show a demonstrator of automatic mood estimation. While a subj...

in order to estimate doa of coherent sources, shirvani moghaddam and keshavarz nasab proposed a method based on uniform linear array configuration that first determines the number of noncoherent sources and then estimates the doa of coherent signals in each group. for estimating doas close to the array endfire, ula does not perform well. as the main goal of this investigation, using the propose...

This paper describes an automatic hierarchical music classification approach based on support vector machines (SVM). Based on the proposed method, the music is classified into coursed classes such as vocal, instrumental or vocal mixed with instrumental music. These main classes are further sub-classed according to gender and instrument type. A novel method, Correction Algorithm for Music Sequen...

PRISM is a probabilistic-logical programming language based on Prolog. We present a PRISM-implementation of a general model for polyphonic music, based on Hidden Markov Models. Its probability parameters are automatically learned by running the built-in EM-algorithm of PRISM on training examples. We show how the model can be used as a classifier for music that guesses the composer of unknown fr...