We provide a survey of the field of Music Information Retrieval (MIR), in particular paying
attention to latest developments, such as semantic auto-tagging and user-centric retrieval …

In recent years, foundation models (FMs) such as large language models (LLMs) and latent
diffusion models (LDMs) have profoundly impacted diverse sectors, including music. This …

Popular music is a key cultural expression that has captured listeners' attention for ages.
Many of the structural regularities underlying musical discourse are yet to be discovered …

There is growing evidence that nonlinear time series analysis techniques can be used to
successfully characterize, classify, or process signals derived from real-world dynamics …

We present a corpus of harmonic analyses and melodic transcriptions of rock songs. After
explaining the creation and notation of the corpus, we present results of some explorations …

Singing melody extraction essentially involves two tasks: one is detecting the activity of a
singing voice in polyphonic music, and the other is estimating the pitch of a singing voice in …

Summary Culture evolves, 1–5 but the existence of cross-culturally general regularities of
cultural evolution is debated. 6–8 As a diverse but universal cultural phenomenon, music …

There has been a rapid growth of digitally available music data, including audio recordings,
digitized images of sheet music, album covers and liner notes, and video clips. This huge …

In this study we compare the use of different music representations for retrieving alternative
performances of the same musical piece, a task commonly referred to as version …

Singing melody extraction is a task that tracks pitch contour of singing voice in polyphonic
music. While the majority of melody extraction algorithms are based on computing a saliency …