221 citations · 237 across the 10 of their papers we have counts for
10 papers
Combining piano performance dimensions for score difficulty classification
Pedro Ramoneda, Dasaem Jeong, Vsevolod Eremenko +3
Predicting the difficulty of playing a musical score is essential for structuring and exploring score collections. Despite its importance for music education, the automatic difficu…
Music Rearrangement Using Hierarchical Segmentation
Christos Plachouras, Marius Miron
Music rearrangement involves reshuffling, deleting, and repeating sections of a music piece with the goal of producing a standalone version that has a different duration. It is a c…
PodcastMix: A dataset for separating music and speech in podcasts
Nicolás Schmidt, Jordi Pons, Marius Miron
We introduce PodcastMix, a dataset formalizing the task of separating background music and foreground speech in podcasts. We aim at defining a benchmark suitable for training and e…
Score difficulty analysis for piano performance education based on fingering
Pedro Ramoneda, Nazif Can Tamer, Vsevolod Eremenko +2
In this paper, we introduce score difficulty classification as a sub-task of music information retrieval (MIR), which may be used in music education technologies, for personalised…
Piano Fingering with Reinforcement Learning
Pedro Ramoneda, Marius Miron, Xavier Serra
Hand and finger movements are a mainstay of piano technique. Automatic Fingering from symbolic music data allows us to simulate finger and hand movements. Previous proposals achiev…
Soundata: A Python library for reproducible use of audio datasets
Magdalena Fuentes, Justin Salamon, Pablo Zinemanas +6
Soundata is a Python library for loading and working with audio datasets in a standardized way, removing the need for writing custom loaders in every project, and improving reprodu…
Assessing Algorithmic Biases for Musical Version Identification
Furkan Yesiler, Marius Miron, Joan Serrà +1
Version identification (VI) systems now offer accurate and scalable solutions for detecting different renditions of a musical composition, allowing the use of these systems in indu…
Addressing multiple metrics of group fairness in data-driven decision making
Marius Miron, Songül Tolan, Emilia Gómez +1
The Fairness, Accountability, and Transparency in Machine Learning (FAT-ML) literature proposes a varied set of group fairness metrics to measure discrimination against socio-demog…
Assessing the impact of machine intelligence on human behaviour: an interdisciplinary endeavour
Emilia Gómez, Carlos Castillo, Vicky Charisi +23
This document contains the outcome of the first Human behaviour and machine intelligence (HUMAINT) workshop that took place 5-6 March 2018 in Barcelona, Spain. The workshop was org…
Overcoming catastrophic forgetting with hard attention to the task
Joan Serrà, Dídac Surís, Marius Miron +1
Catastrophic forgetting occurs when a neural network loses the information learned in a previous task after training on subsequent tasks. This problem remains a hurdle for artifici…