The analysis of musical interpretation, an important research topic in Computer Music, is usually focused on the study of musical dimensions like harmony and melody for piano music. Despite its obvious importance in expressive performance, rhythm is somewhat neglected as well as guitar music. This paper introduces a novel algorithm for the automatic discovery of right hand fingering in guitar a...

This paper presents a method for discovering patterns of note collections that repeatedly occur in a piece of music. We assume occurrences of these patterns must appear at least twice across a musical work and that they may contain slight differences in harmony, timbre, or rhythm. We describe an algorithm that makes use of techniques from the music information retrieval task of music segmentati...

A fast DOA estimation algorithm developed from MUSIC, which also benefits from the processing of the signals’ polarization information, is presented. Besides performance enhancement in precision and resolution, the proposed algorithm can be exerted on various forms of polarization sensitive arrays, without specific requirement on the array’s pattern. Depending on the continuity property of the ...

A one dimensional (1-D) based tree structure algorithm is proposed for estimating the 2D-DOAs of the signals impinging on a uniform rectangular array. The key idea of the proposed algorithm is to successively utilize the 1-D MUSIC algorithm several times, in tree structure, to estimate the azimuth and the elevation angles independently. Subspace projectors are exploited in conjunction with the ...

This paper presents a simulation study of a smart antenna (SA) system based on direction-of-arrival (DOA) estimation is based on the MUltiple SIgnal Classification (MUSIC) algorithm for finding the Position Location (PL) of the desired user. The beamformer steer the main beam towards the desired user and nullify all other interferer, through adaptive beamforming using Least Mean Square (LMS) al...

The MUltiple SIgnal Classification (MUSIC) algorithm for DoA is known to degrade due to imprecise knowledge about the array manifold. In this paper, we present a theorem to show how imprecise knowledge affects the performance of the MUSIC algorithm. This theorem proves that performance of the MUSIC algorithm degrades less if the array responses of the sources impinging on the array are less cor...

Abstract In the 21st century, with rapid development of information processing technology, neurophysiology, non-linear dynamics, fuzzy mathematics and other disciplines, artificial intelligence (AI) has come to be widely used in many aspects. Considering AI music, art, music media fuse together. For perfect combination modern technology traditional a variety technologies, including machine lear...

Content-based music retrieval is desirable in Peer-to-Peer (P2P) networks, considering its popularity for users and its ability of semantic search, intensive computing cost raises a barrier to efficiency and scalability though. In this paper, we propose an approach of music genre retrieval based on peer interest clustering. Automatic music feature extraction and adaptive shared music file clust...