This article presents a multimodal dataset comprising various representations and
annotations of Franz Schubert's song cycle Winterreise. Schubert's seminal work constitutes …

While global key and chord estimation for both popular and classical music recordings have
received a lot of attention, little research has been devoted to estimating the local key for …

AugmentedNet is a new convolutional recurrent neural network for predicting Roman
numeral labels. The network architecture is characterized by a separate convolutional block …

Every piece of music is characterized by its key, melody, harmony, metre, and rhythm.
Musical information retrieval tasks like transcription, chord estimation, and harmony analysis …

Despite the success of end-to-end approaches, chroma (or pitch-class) features remain a
useful mid-level representation of music audio recordings due to their direct interpretability …

Even though local tempo estimation promises musicological insights into expressive musical
performances, it has never received as much attention in the music information retrieval …

Detecting the simultaneous activity of pitches in music audio recordings is a central task
within music processing, commonly known as multi-pitch estimation or frame-wise …

From the 19th century on, several composers of Western opera made use of leitmotifs (short
musical ideas referring to semantic entities such as characters, places, items, or feelings) for …

This paper approaches the automatic detection of musical patterns in audio recordings with
a particular focus on leitmotifs, which are specific types of patterns associated with certain …

Deep learning systems have become popular for tackling a variety of music information
retrieval tasks. However, these systems often require large amounts of labeled data for …