collaborators

6 papers

cs.SD2026

A Flexible Encoding Model for Non-Unique Note Alignments

Suhit Chiruthapudi, Adam Å tefunko, Silvan Peter +3

Symbolic music alignment links notes in a symbolic performance to their counterparts in a score. While existing alignment encoding formats provide unique correspondences between th…

cs.SD2026

Score-Agnostic Structure Analysis in Large-Scale Performance Datasets

Patricia Hu, Silvan Peter, Gerhard Widmer

In recent years, thanks to advances in automatic music transcription (AMT), several large-scale datasets of automatically transcribed piano solo music have been released. While the…

cs.SD2026

Precise and Simple Audio-to-Score Alignment

Silvan Peter, Patricia Hu, Gerhard Widmer

Audio-to-score alignment is a long-standing challenge in music information retrieval and arguably the most widely applicable alignment task for music research. Alignment algorithms…

eess.AS2025

Exploring System Adaptations For Minimum Latency Real-Time Piano Transcription

Patricia Hu, Silvan David Peter, Jan Schlüter +1

Advances in neural network design and the availability of large-scale labeled datasets have driven major improvements in piano transcription. Existing approaches target either offl…

cs.SD2025

Pairing Real-Time Piano Transcription with Symbol-level Tracking for Precise and Robust Score Following

Silvan Peter, Patricia Hu, Gerhard Widmer

Real-time music tracking systems follow a musical performance and at any time report the current position in a corresponding score. Most existing methods approach this problem excl…

cs.SD2025

How to Infer Repeat Structures in MIDI Performances

Silvan Peter, Patricia Hu, Gerhard Widmer

MIDI performances are generally expedient in performance research and music information retrieval, and even more so if they can be connected to a score. This connection is usually…