Frank Scherbaum

Orcid: 0000-0002-5050-7331

According to our database1, Frank Scherbaum authored at least 15 papers between 2007 and 2024.

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

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

2023
Computer-assisted Analysis of Field Recordings: A Case Study of Georgian Funeral Songs.
ACM Journal on Computing and Cultural Heritage, March, 2023

2021
Reliability Assessment of Singing Voice F0-Estimates Using Multiple Algorithms.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Erkomaishvili Dataset: A Curated Corpus of Traditional Georgian Vocal Music for Computational Musicology.
Trans. Int. Soc. Music. Inf. Retr., 2020

Dagstuhl ChoirSet: A Multitrack Dataset for MIR Research on Choral Singing.
Trans. Int. Soc. Music. Inf. Retr., 2020

2019
Detecting Stable Regions in Frequency Trajectories for Tonal Analysis of Traditional Georgian Vocal Music.
Proceedings of the 20th International Society for Music Information Retrieval Conference, 2019

2017
Interactive Fundamental Frequency Estimation with Applications to Ethnomusicological Research.
Proceedings of the AES International Conference Semantic Audio 2017, 2017

Rechnergestützte Musikethnologie am Beispiel historischer Aufnahmen mehrstimmiger georgischer Vokalmusik.
Proceedings of the 47. Jahrestagung der Gesellschaft für Informatik, 2017

2014
Manifold aligned ground motion prediction equations for regional datasets.
Comput. Geosci., 2014

2012
Autoencoding Ground Motion Data for Visualisation.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

Graphical Models as Surrogates for Complex Ground Motion Models.
Proceedings of the Artificial Intelligence and Soft Computing, 2012

2009
Unsupervised feature selection and general pattern discovery using Self-Organizing Maps for gaining insights into the nature of seismic wavefields.
Comput. Geosci., 2009

Bayesian Belief Network for Tsunami Warning Decision Support.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2009

2008
Unsupervised Feature Selection for Pattern Discovery in Seismic Wavefields.
Proceedings of the Third Workshop on New Challenges for Feature Selection in Data Mining and Knowledge Discovery, 2008

2007
Dynamic Bayesian Networks for Real-Time Classification of Seismic Signals.
Proceedings of the Knowledge Discovery in Databases: PKDD 2007, 2007


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