6 citations · 14 across the 14 of their papers we have counts for
5 papers · 1 filter
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…
Online Symbolic Music Alignment with Offline Reinforcement Learning
Silvan David Peter
Symbolic Music Alignment is the process of matching performed MIDI notes to corresponding score notes. In this paper, we introduce a reinforcement learning (RL)-based online symbol…
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…
Discrete Diffusion Probabilistic Models for Symbolic Music Generation
Matthias Plasser, Silvan Peter, Gerhard Widmer
Denoising Diffusion Probabilistic Models (DDPMs) have made great strides in generating high-quality samples in both discrete and continuous domains. However, Discrete DDPMs (D3PMs)…