The development of artificial intelligent composition has resulted in the increasing popularity machine-generated pieces, with frequent copyright disputes consequently emerging. There is an insufficient amount research on judgement and works; creation a method to identify distinguish these works particular importance. Starting from essence music, article constructs music-rule-identifying algori...

An algorithm for analyzing the rhythmic content of acoustic signals of polyphonic and multitimbral Western music is presented. The analysis consists of detecting sound onsets, computing an inter-onset interval (IOI) histogram, and estimating the duration of the shortest notes, i.e., the tatum period from the histogram. Robustness against tempo changes has been explicitly built into the system b...

We propose a robust and efficient algorithm for the recovery of the jointly sparse support in compressed sensing with multiple measurement vectors (the MMV problem). When the unknown matrix of the jointly sparse signals has full rank, MUSIC is a guaranteed algorithm for this problem, achieving the fundamental algebraic bound on the minimum number of measurements. We focus instead on the unfavor...

A novel direction of arrival (DOA) estimation technique that uses the conventional multiple-signal classification (MUSIC) algorithm with periodic signals is applied to a single-port smart antenna. Results show that the proposed method gives a highresolution (1 degree) DOA estimation in an uncorrelated signal environment. The novelty lies in that the MUSIC algorithm is applied to a simplified an...

This paper presents a brief overview of narrowband direction of arrival (DOA) estimation algorithms and techniques. A comprehensive study is carried out in this paper to investigate and evaluate the performance of variety of algorithms for DOA estimation. Two categories of DOA estimation algorithms are considered for discussion which are Classical methods and Subspace based techniques. Classica...

This project describes the development of an application for generating tonal melodies. The goal of the project is to ascertain our current understanding of tonal music by means of algorithmic music generation. The method followed consists of four stages: 1) selection of music-theoretical insights, 2) translation of these insights into a set of principles, 3) conversion of the principles into a...

In this paper, a new combination of Minimum Description Length (MDL) or Eigenvalue Gradient Method (EGM), Joint Approximate Diagonalization of Eigenmatrices (JADE) and Modified Forward-Backward Linear Prediction (MFBLP) algorithms is proposed which determines the number of non-coherent source groups and estimates the Direction Of Arrivals (DOAs) of coherent signals in each group. First, the MDL...

Homophily, ranging from demographics to sentiments, breeds connections in social networks, either offline or online. However, with the prosperous growth of music streaming service, whether homophily exists in online music listening remains unclear. In this study, two online social networks of a same group of active users are established respectively in Netease Music and Weibo. Through presented...

Music can induce different emotions in people. We propose a system that can identify music segments which induce specific emotions from the listener. The work involves building a knowledge base with mappings between affective states (happiness, sadness, etc.) and music features (rhythm, chord progression, etc.). Building this knowledge base requires background knowledge from music and emotions ...

In this work, we propose a method to identify and transcript the note of a Carnatic music signal. The main motive behind note transcription is that, it can be used as a good basis for music note information retrieval of Carnatic music songs or Film songs based on Carnatic music. The input monophonic music signal is analysed and made to pass through a signal frequency extracting algorithm. The f...