activity
20162024
most citedSymbolic Music Representations for Classification Tasks: A Systematic Evaluation

3 citations · 4 across the 7 of their papers we have counts for

collaborators

7 papers

eess.AS2024

DExter: Learning and Controlling Performance Expression with Diffusion Models

Huan Zhang, Shreyan Chowdhury, Carlos Eduardo Cancino-Chacón +3

In the pursuit of developing expressive music performance models using artificial intelligence, this paper introduces DExter, a new approach leveraging diffusion probabilistic mode…

cs.CL2023

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…

cs.SD20231 cited

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…

eess.AS20233 cited

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…

cs.SD2023

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…

cs.SD2016

Basis-Function Modeling of Loudness Variations in Ensemble Performance

Thassilo Gadermaier, Maarten Grachten, Carlos Eduardo Cancino Chacón

This paper describes a computational model of loudness variations in expressive ensemble performance. The model predicts and explains the continuous variation of loudness as a func…