activity
20162022
most citedA Study of Annotation and Alignment Accuracy for Performance Comparison in Complex Orchestral Music

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.NI2022

Identifying the root cause of cable network problems with machine learning

Georg Heiler, Thassilo Gadermaier, Thomas Haider +2

Good quality network connectivity is ever more important. For hybrid fiber coaxial (HFC) networks, searching for upstream high noise in the past was cumbersome and time-consuming.…

cs.SD2022

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…

cs.MM2019★ 1 cited

A Study of Annotation and Alignment Accuracy for Performance Comparison in Complex Orchestral Music

Thassilo Gadermaier, Gerhard Widmer

Quantitative analysis of commonalities and differences between recorded music performances is an increasingly common task in computational musicology. A typical scenario involves m…

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…

cs.SD2016

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…