7 citations · 35 across the 19 of their papers we have counts for
20 papers
From Sparse Signal to Smooth Motion: Real-Time Motion Generation with Rolling Prediction Models
German Barquero, Nadine Bertsch, Manojkumar Marramreddy +8
In extended reality (XR), generating full-body motion of the users is important to understand their actions, drive their virtual avatars for social interaction, and convey a realis…
Pay Attention to the Keys: Visual Piano Transcription Using Transformers
Uros Zivanovic, Ivan Pilkov, Carlos Eduardo Cancino-Chacón
Visual piano transcription (VPT) is the task of obtaining a symbolic representation of a piano performance from visual information alone (e.g., from a top-down video of the piano k…
Towards Musically Informed Evaluation of Piano Transcription Models
Patricia Hu, Lukáš Samuel Marták, Carlos Cancino-Chacón +1
Automatic piano transcription models are typically evaluated using simple frame- or note-wise information retrieval (IR) metrics. Such benchmark metrics do not provide insights int…
Are we describing the same sound? An analysis of word embedding spaces of expressive piano performance
Silvan David Peter, Shreyan Chowdhury, Carlos Eduardo Cancino-Chacón +1
Semantic embeddings play a crucial role in natural language-based information retrieval. Embedding models represent words and contexts as vectors whose spatial configuration is der…
Sounding Out Reconstruction Error-Based Evaluation of Generative Models of Expressive Performance
Silvan David Peter, Carlos Eduardo Cancino-Chacón, Emmanouil Karystinaios +1
Generative models of expressive piano performance are usually assessed by comparing their predictions to a reference human performance. A generative algorithm is taken to be better…
Symbolic Music Representations for Classification Tasks: A Systematic Evaluation
Huan Zhang, Emmanouil Karystinaios, Simon Dixon +2
Music Information Retrieval (MIR) has seen a recent surge in deep learning-based approaches, which often involve encoding symbolic music (i.e., music represented in terms of discre…
The ACCompanion: Combining Reactivity, Robustness, and Musical Expressivity in an Automatic Piano Accompanist
Carlos Cancino-Chacón, Silvan Peter, Patricia Hu +5
This paper introduces the ACCompanion, an expressive accompaniment system. Similarly to a musician who accompanies a soloist playing a given musical piece, our system can produce a…
The match file format: Encoding Alignments between Scores and Performances
Francesco Foscarin, Emmanouil Karystinaios, Silvan David Peter +3
This paper presents the specifications of match: a file format that extends a MIDI human performance with note-, beat-, and downbeat-level alignments to a corresponding musical sco…
Partitura: A Python Package for Symbolic Music Processing
Carlos Cancino-Chacón, Silvan David Peter, Emmanouil Karystinaios +3
Partitura is a lightweight Python package for handling symbolic musical information. It provides easy access to features commonly used in music information retrieval tasks, like no…
Beyond synchronization: Body gestures and gaze direction in duo performance
Laura Bishop, Carlos Cancino-Chacón, Werner Goebl
In this chapter, we focus on two main categories of visual interaction: body gestures and gaze direction. Our focus on body gestures is motivated by research showing that gesture p…
partitura: A Python Package for Handling Symbolic Musical Data
Maarten Grachten, Carlos Cancino-Chacón, Thassilo Gadermaier
This demo paper introduces partitura, a Python package for handling symbolic musical information. The principal aim of this package is to handle richly structured musical informati…
On the Characterization of Expressive Performance in Classical Music: First Results of the Con Espressione Game
Carlos Cancino-Chacón, Silvan Peter, Shreyan Chowdhury +2
A piece of music can be expressively performed, or interpreted, in a variety of ways. With the help of an online questionnaire, the Con Espressione Game, we collected some 1,500 de…
Real-time visualisation of fugue played by a string quartet
Olivier Lartillot, Carlos Cancino-Chacón, Charles Brazier
We present a new system for real-time visualisation of music performance, focused for the moment on a fugue played by a string quartet. The basic principle is to offer a visual gui…
Moving to Communicate, Moving to Interact: Patterns of Body Motion in Musical Duo Performance
Laura Bishop, Carlos Cancino-Chacón, Werner Goebl
Skilled ensemble musicians coordinate with high precision, even when improvising or interpreting loosely-defined notation. Successful coordination is supported primarily through sh…
A Convolutional Approach to Melody Line Identification in Symbolic Scores
Federico Simonetta, Carlos Cancino-Chacón, Stavros Ntalampiras +1
In many musical traditions, the melody line is of primary significance in a piece. Human listeners can readily distinguish melodies from accompaniment; however, making this distinc…
User Curated Shaping of Expressive Performances
Zhengshan Shi, Carlos Cancino-Chacón, Gerhard Widmer
Musicians produce individualized, expressive performances by manipulating parameters such as dynamics, tempo and articulation. This manipulation of expressive parameters is informe…
The ACCompanion v0.1: An Expressive Accompaniment System
Carlos Cancino-Chacón, Martin Bonev, Amaury Durand +5
In this paper we present a preliminary version of the ACCompanion, an expressive accompaniment system for MIDI input. The system uses a probabilistic monophonic score follower to t…
What were you expecting? Using Expectancy Features to Predict Expressive Performances of Classical Piano Music
Carlos Cancino-Chacón, Maarten Grachten, David R. W. Sears +1
In this paper we present preliminary work examining the relationship between the formation of expectations and the realization of musical performances, paying particular attention…
From Bach to the Beatles: The simulation of human tonal expectation using ecologically-trained predictive models
Carlos Cancino-Chacón, Maarten Grachten, Kat Agres
Tonal structure is in part conveyed by statistical regularities between musical events, and research has shown that computational models reflect tonal structure in music by capturi…
Towards computer-assisted understanding of dynamics in symphonic music
Maarten Grachten, Carlos Eduardo Cancino-Chacón, Thassilo Gadermaier +1
Many people enjoy classical symphonic music. Its diverse instrumentation makes for a rich listening experience. This diversity adds to the conductor's expressive freedom to shape t…