The music performance system works by identifying the emotional elements of to control lighting changes. However, if there is a recognition error, good stage effect will not be able create. Therefore, this paper proposes an intelligent emotion and classification algorithm in system. first part analyze features music, including acoustic features, melody audio features. Then, three kinds are comb...

The present paper proposes a new approach for detecting music boundaries, such as the boundary between music pieces or the boundary between a music piece and a speech section for automatic segmentation of musical video data and retrieval of a designated music piece. The proposed approach is able to capture each music piece using acoustic similarity defined for shortterm segments in the music pi...

The estimation of direction of arrival (DOA) of a smart antenna is not able to perform high resolution in a mixed noise field with high correlation. In this paper, a modified multiple signal classification (MUSIC) algorithm based on spatial difference is proposed for improving the resolution of DoA estimation. The algorithm can eliminate the effect of mixed noise through computing the differenc...

The problem of super-resolution time delay estimation in multipath environments is addressed in this paper. Two cases, active and passive systems, are considered. The time delay estimation is first converted into a sinusoidal parameter estimation problem. Then the sinusoidal parameters are estimated by generalizing the Multiple Signal Classification (MUSIC) algorithm for single-experiment data....

Music and its attributes have been used in cryptography from early days. Today music is vastly used in information hiding with the use of Steganography techniques. This paper proposes an alternative to steganography by designing an algorithm for the encryption of text message into music and its attributes. The proposed algorithm converts the plain text message into a musical piece by replacing ...

A dictionary-based approach for extracting repetitive patterns in music aimed at music feature extraction and indexing for audio database management is proposed. In this system, segmentation is achieved based on the tempo information and a music score is decomposed into bars. Each bar is indexed and a bar index table is built. Then, an adaptive dictionary-based compression algorithm known as Le...

This extended abstract describes the pattern discovery submission to MIREX 2014 of an algorithm that uses music segmentation (or music structure analysis) techniques and a refined greedy method in order to identify the repetitive musical patterns of a given music piece, either represented symbolically or with an actual audio file. We obtain a harmonic representation of the input and compute the...

Abstract. Computer models for determining key boundaries are important tools for computer analysis of music, computational modeling of music cognition, content-based categorization and retrieval of music information and automatic generating of expressive performance. This paper proposes a Boundary Search Algorithm (BSA) for determining points of modulation in a piece of music using a geometric ...

This paper explores one way to use music in the context of affective design. We've made a real-time music generator that is designed around the concepts of valence and arousal, which are two components of certain models of emotion. When set to a desired valence and arousal, the algorithm plays music corresponding to the intersection of these two parameters. We designed our algorithm using psych...

An overview is provided of the Stravinsqi-Jun2014 algorithm and its performance on the MediaEval 2014 C@merata Task. Stravinsqi stands for STaff Representation Analysed VIa Natural language String Query Input. The algorithm parses a symbolic representation of a piece of music as well as a query string consisting of a natural language expression, and identifies where event(s) specified by the qu...