Field recordings from ethnomusicological research since the beginning of the 20th century are available today in large digitised music archives. The application of music information retrieval and data mining technologies can aid large-scale data processing leading to a better understanding of the history of cultural exchange. In this paper we focus on folk and traditional music from the United ...

In the study, we present a higher effective algorithm, called revised gene expression programming (RGEP), to construct the model for music emotion recognition. Our main contributions are as follows: firstly, we describe the basic mechanisms of music emotion recognition and introduce gene expression programming (GEP) to deal with the model construction for music emotion recognition. Secondly, we...

For music signal processing, compared with the strategy which models each short-time frame independently, when the long-time features are considered, the time-series characteristics of the music signal can be better presented. As a typical kind of long-time modeling strategy, the identification vector (i-vector) uses statistical modeling to model the audio signal in the segment level. It can be...

The overarching goal of music theory is to explain the inner workings of a musical composition by examining the structure of the composition. Schenkerian music theory supposes that Western tonal compositions can be viewed as hierarchies of musical objects. The process of Schenkerian analysis reveals this hierarchy by identifying connections between notes or chords of a composition that illustra...

Music is a dialect of feelings, and henceforth music feeling could be helpful in music understanding, proposal, recovery and some other music-related applications. Numerous issues for music feeling acknowledgment have been tended to by various teaches, for example, physiology, brain science, intellectual science and musicology. Music emotion regression is considered more appropriate than classi...

Online music streaming services have become popular in listening to music. Most online music streaming services employ the freemium business model. The specific gratifications from online music streaming are not well understood. Moreover, research examining the freemium model from a user experience perspective remains scant. We employ uses and gratifications theory and examine four gratificatio...

Separation of music signals is an interesting but difficult problem. It is helpful for many other music researches such as audio content analysis. In this paper, a new music signal separation method is proposed, which is based on harmonic structure modeling. The main idea of harmonic structure modeling is that the harmonic structure of a music signal is stable, so a music signal can be represen...

Recent research on speech segregation and music fingerprinting has led to improvements in speech segregation and music identification algorithms. Speech and music segregation generally involves the identification of music followed by speech segregation. However, music segregation becomes a challenging task in the presence of noise. This paper proposes a novel method of speech segregation for un...

Implementing music education performance management is an effective way to enhance the comprehensive quality education for universities, and music education performance evaluating for universities is one of the difficulties and hot research fields for the researchers related. The paper presents a new model for evaluating music education performance based on improved BP neural network. First an ...