This survey paper provides an overview of content-based music information retrieval
systems, both for audio and for symbolic music notation. Matching algorithms and indexing …

Abstract We present the Word Mover's Distance (WMD), a novel distance function between
text documents. Our work is based on recent results in word embeddings that learn …

We consider the problem of modeling annotated data---data with multiple types where the
instance of one type (such as a caption) serves as a description of the other type (such as an …

We explore the use of song lyrics for automatic indexing of music. Using lyrics mined from
the Web, we apply a standard text processing technique to characterize their semantic …

Michael Kassler mentioned the term “Musical Information Retrieval”(MIR) as early as 1966
[31]. He describes an assembler-like programming language called MIR which can be used …

Managing large and growing collections of information is a central goal of modern computer
science. Data repositories of texts, images, sounds, and genetic information have become …

This paper describes experimental research investigating the genre classification utility of
combining features extracted from lyrical, audio, symbolic and cultural sources of musical …

This paper presents a lyrics retrieval system called LyricsRadar that enables users to
interactively browse song lyrics by visualizing their topics. Since conventional lyrics retrieval …

Each artist has their own taste for topics of lyrics such as “love” and “friendship.” Considering
such artist's taste brings new applications in music information retrieval: choosing an artist …

Efficient and intelligent music information retrieval is a very important topic of the 21st
century. With the ultimate goal of building personal music information retrieval systems, this …