Analysis of Tibetan Folk Music Style Based on Audio Signal Processing

Music Information Retrieval Based on Signal Processing

The main focus of this special issue is on the application of digital signal processing techniques for music information retrieval (MIR). MIR is an emerging and exciting area of research that seeks to solve a wide variety of problems dealing with preserving, analyzing, indexing, searching, and accessing large collections of digitized music. There are also strong interests in this field of resea...

Signal Processing for Music Analysis

I. INTRODUCTION WITH the development of information and multimedia technologies, digital music are available from different media, like radio broadcasting, digital storage such as compact discs (CDs), the Internet, etc. Music information retrieval (MIR) is an emerging research area in multimedia to cope with such necessity. A key problem in MIR is classification, which differentiate each song b...

Timbre-invariant Audio Features for Style Analysis of Classical Music

We propose a novel set of chroma-based audio features inspired by pitch class set theory and show their utility for style analysis of classical music by using them to classify recordings into historical periods. Musicologists have long studied how composers’ styles develop and influence each other, but usually based on manual analyses of the score or, more recently, automatic analyses on symbol...

Audio-based Music Structure Analysis

Humans tend to organize perceived information into hierarchies and structures, a principle that also applies to music. Even musically untrained listeners unconsciously analyze and segment music with regard to various musical aspects, for example, identifying recurrent themes or detecting temporal boundaries between contrasting musical parts. This paper gives an overview of state-of-theart metho...

Alexander Lerch: An Introduction to Audio Content Analysis: Applications in Signal Processing and Music Informatics