Michael Krause

Orcid: 0000-0001-7194-0719

Affiliations:
  • International Audio Laboratories Erlangen, Germany


According to our database1, Michael Krause authored at least 16 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
A Dataset of Larynx Microphone Recordings for Singing Voice Reconstruction.
Trans. Int. Soc. Music. Inf. Retr., January, 2024

Soft Dynamic Time Warping with Variable Step Weights.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Wagner Ring Dataset: A Complex Opera Scenario for Music Processing and Computational Musicology.
Trans. Int. Soc. Music. Inf. Retr., January, 2023

Activity Detection for Sound Events in Orchestral Music Recordings (Aktivitätserkennung von Klangereignissen in Orchestermusikaufnahmen)
PhD thesis, 2023

Hierarchical Classification for Instrument Activity Detection in Orchestral Music Recordings.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

Stabilizing Training With Soft Dynamic Time Warping: A Case Study for Pitch Class Estimation With Weakly Aligned Targets.
Proceedings of the 24th International Society for Music Information Retrieval Conference, 2023

A Cross-Version Approach to Audio Representation Learning for Orchestral Music.
Proceedings of the 24th International Society for Music Information Retrieval Conference, 2023

Weakly Supervised Multi-Pitch Estimation Using Cross-Version Alignment.
Proceedings of the 24th International Society for Music Information Retrieval Conference, 2023

Soft Dynamic Time Warping for Multi-Pitch Estimation and Beyond.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Hierarchical Classification of Singing Activity, Gender, and Type in Complex Music Recordings.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Sync Toolbox: A Python Package for Efficient, Robust, and Accurate Music Synchronization.
Dataset, August, 2021

Towards Leitmotif Activity Detection in Opera Recordings.
Trans. Int. Soc. Music. Inf. Retr., 2021

Sync Toolbox: A Python Package for Efficient, Robust, and Accurate Music Synchronization.
J. Open Source Softw., 2021

2020
Classifying Leitmotifs in Recordings of Operas by Richard Wagner.
Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020

2019
MOTS: Multi-Object Tracking and Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019


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