Hendrik Schreiber
Orcid: 0000-0002-3033-1703Affiliations:
- Friedrich-Alexander-Universität Erlangen-Nürnberg, FAU, Germany
- University of Erlangen-Nuremberg, Semantic Audio Processing Group, Germany (PhD 2020)
- tagtraum industries inc., Raleigh, NC, USA (2004)
- University of Dortmund, Germany (former)
According to our database1,
Hendrik Schreiber
authored at least 20 papers
between 2011 and 2020.
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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Bibliography
2020
Data-Driven Approaches for Tempo and Key Estimation of Music Recordings (Datengetriebene Verfahren für Tempo- und Tonart-Schätzung von Musikaufnahmen)
PhD thesis, 2020
Local Key Estimation in Music Recordings: A Case Study Across Songs, Versions, and Annotators.
IEEE ACM Trans. Audio Speech Lang. Process., 2020
Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020
Local Key Estimation In Classical Music Recordings: A Cross-Version Study on Schubert's Winterreise.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
2019
Musical Tempo and Key Estimation using Convolutional Neural Networks with Directional Filters.
CoRR, 2019
Proceedings of the 20th International Society for Music Information Retrieval Conference, 2019
The AcousticBrainz Genre Dataset: Multi-Source, Multi-Level, Multi-Label, and Large-Scale.
Proceedings of the 20th International Society for Music Information Retrieval Conference, 2019
2018
Dataset, September, 2018
Dataset, September, 2018
The MediaEval 2018 AcousticBrainz Genre Task: Content-based Music Genre Recognition from Multiple Sources.
Proceedings of the Working Notes Proceedings of the MediaEval 2018 Workshop, 2018
Proceedings of the 19th International Society for Music Information Retrieval Conference, 2018
A Single-Step Approach to Musical Tempo Estimation Using a Convolutional Neural Network.
Proceedings of the 19th International Society for Music Information Retrieval Conference, 2018
2017
The MediaEval 2017 AcousticBrainz Genre Task: Content-based Music Genre Recognition from Multiple Sources.
Proceedings of the Working Notes Proceedings of the MediaEval 2017 Workshop co-located with the Conference and Labs of the Evaluation Forum (CLEF 2017), 2017
A Post-Processing Procedure for Improving Music Tempo Estimates Using Supervised Learning.
Proceedings of the 18th International Society for Music Information Retrieval Conference, 2017
2016
Proceedings of the 17th International Society for Music Information Retrieval Conference, 2016
2015
Proceedings of the 16th International Society for Music Information Retrieval Conference, 2015
2014
Proceedings of the IEEE International Conference on Acoustics, 2014
2011
Proceedings of the 12th International Society for Music Information Retrieval Conference, 2011