This paper studies the problem of identifying piano music in various modalities using a
single, unified approach called marketplace fingerprinting. The key defining characteristic of …

Alignment algorithms like DTW and subsequence DTW assume specific boundary
conditions on where an alignment path can begin and end in the cost matrix. In practice, the …

This paper studies composer style classification of piano sheet music, MIDI, and audio data.
We expand upon previous work in three ways. First, we explore several musically motivated …

The identification of structural differences between a music performance and the score is a
challenging yet integral step of audio-to-score alignment, an important subtask of music …

The task of real-time alignment between a music performance and the corresponding score
(sheet music), also known as score following, poses a challenging multi-modal machine …

We propose an efficient workflow for high-quality offline alignment of in-the-wild
performance audio and corresponding sheet music scans (images). Recent work on audio …

This article introduces a method for large-scale retrieval of piano sheet music images. We
study this problem in two different scenarios: camera-based sheet music identification and …

In this work we explore parallelizable alternatives to DTW for globally aligning two feature
sequences. One of the main practical limitations of DTW is its quadratic computation and …

Dynamic time warping estimates the alignment between two sequences and is designed to
handle a variable amount of time warping. In many contexts, it performs poorly when …

This article studies a composer style classification task based on raw sheet music images.
While previous works on composer recognition have relied exclusively on supervised …