In this paper, we undertake a critical assessment of a stateof-the-art deep neural network
approach for computational rhythm analysis. Our methodology is to deconstruct this …

In this paper we present Aligned Scores and Performances (ASAP): a new dataset of 222
digital musical scores aligned with 1068 performances (more than 92 hours) of Western …

Transformer is a successful deep neural network (DNN) architecture that has shown its
versatility not only in natural language processing but also in music information retrieval …

This paper provides a guide through the FMP notebooks, a comprehensive collection of
educational material for teaching and learning fundamentals of music processing (FMP) with …

Choral singing is a central part of musical cultures across the world, yet many facets of this
widespread form of polyphonic singing are still to be explored. Music information retrieval …

This paper presents a thorough review of methods used in various research articles
published in the field of time signature estimation and detection from 2003 to the present …

In music information retrieval (MIR), beat tracking is one of the most fundamental tasks. To
obtain this critical component from rhythmic music signals, a previous beat tracking system …