This paper has concentrated on how to retrieve a list of songs from music database similar to the specific one. Content-based retrieval of music is one of ...

Introducing string-based similarity measure, our framework has lower computational complexity and better effect. We also developed a new distributed clustering.

This paper has concentrated on how to retrieve a list of songs from music database similar to the specific one. Content-based retrieval of music is one of ...

Most music similarity measures are divided into a feature extraction part that extracts features that compactly describe some musical aspects of a song, and a ...

ACE: A framework for optimizing music classification. Submitted for publication to the International Conference on Music Information Retrieval. McKay, C ...

This paper presents a hierarchical framework with a new mood taxonomy model to automate the task of mood classification from acoustic music data based on.

This book provides a comprehensive and accessible introduction to the topics of music search, retrieval, and recommendation from an academic perspective and ...

We consider music classification problems. A typical machine learning approach is to use support vector machines with some kernels.

Abstract. This paper presents a framework for music information retrieval tasks which relate to music similarity. The framework is based on a pipeline ...

Due to the huge amount of current collections, automatic genre categorization is crucial for music organization, search, retrieval, and recommendation. Music ...