Hendrik Schreiber

According to our database, Hendrik Schreiber authored at least 18 papers between 2011 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2020

Data-Driven Approaches for Tempo and Key Estimation of Music Recordings (Datengetriebene Verfahren für Tempo- und Tonart-Schätzung von Musikaufnahmen)

Hendrik Schreiber

PhD thesis, 2020

Music Tempo Estimation: Are We Done Yet?

Hendrik Schreiber, Julián Urbano, Meinard Müller

Trans. Int. Soc. Music. Inf. Retr., 2020

Local Key Estimation in Music Recordings: A Case Study Across Songs, Versions, and Annotators.

Christof Weiß, Hendrik Schreiber, Meinard Müller

IEEE ACM Trans. Audio Speech Lang. Process., 2020

Modeling and Estimating Local Tempo: A Case Study on Chopin's Mazurkas.

Hendrik Schreiber, Frank Zalkow, Meinard Müller

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.

Hendrik Schreiber, Christof Weiß, Meinard Müller

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Musical Tempo and Key Estimation using Convolutional Neural Networks with Directional Filters.

Hendrik Schreiber, Meinard Müller

CoRR, 2019

Towards Automatically Correcting Tapped Beat Annotations for Music Recordings.

Jonathan Driedger, Hendrik Schreiber, W. Bas de Haas, Meinard Müller

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.

Dmitry Bogdanov, Alastair Porter, Hendrik Schreiber, Julián Urbano, Sergio Oramas

Proceedings of the 20th International Society for Music Information Retrieval Conference, 2019

2018

The MediaEval 2018 AcousticBrainz Genre Task: Content-based Music Genre Recognition from Multiple Sources.

Dmitry Bogdanov, Alastair Porter, Julián Urbano, Hendrik Schreiber

Proceedings of the Working Notes Proceedings of the MediaEval 2018 Workshop, 2018

A Crowdsourced Experiment for Tempo Estimation of Electronic Dance Music.

Hendrik Schreiber, Meinard Müller

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.

Hendrik Schreiber, Meinard Müller

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.

Dmitry Bogdanov, Alastair Porter, Julián Urbano, Hendrik Schreiber

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.

Hendrik Schreiber, Meinard Müller

Proceedings of the 18th International Society for Music Information Retrieval Conference, 2017

2016

Genre Ontology Learning: Comparing Curated with Crowd-Sourced Ontologies.

Hendrik Schreiber

Proceedings of the 17th International Society for Music Information Retrieval Conference, 2016

2015

Improving Genre Annotations for the Million Song Dataset.

Hendrik Schreiber

Proceedings of the 16th International Society for Music Information Retrieval Conference, 2015

2014

Accelerating Index-Based Audio Identification.

Hendrik Schreiber, Meinard Müller

IEEE Trans. Multim., 2014

Exploiting global features for tempo octave correction.

Hendrik Schreiber, Meinard Müller

Proceedings of the IEEE International Conference on Acoustics, 2014

2011

A Re-ordering Strategy for Accelerating Index-based Audio Fingerprinting.

Hendrik Schreiber, Peter Grosche, Meinard Müller

Proceedings of the 12th International Society for Music Information Retrieval Conference, 2011