Hendrik Schreiber

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 15

Top Topics

Convolutional Neural Networks

Global Features

Multiple Sources

Top Venues

Publications

Ondrej Cífka, Constantinos Dimitriou, Cheng-i Wang, Hendrik Schreiber, Luke Miner, Fabian-Robert Stöter
Jam-ALT: A Formatting-Aware Lyrics Transcription Benchmark. CoRR (2023)
Hendrik Schreiber, Julián Urbano, Meinard Müller
Music Tempo Estimation: Are We Done Yet? Trans. Int. Soc. Music. Inf. Retr. 3 (1) (2020)
Hendrik Schreiber, Christof Weiß, Meinard Müller
Local Key Estimation In Classical Music Recordings: A Cross-Version Study on Schubert's Winterreise. ICASSP (2020)
Hendrik Schreiber, Frank Zalkow, Meinard Müller
Modeling and Estimating Local Tempo: A Case Study on Chopin's Mazurkas. ISMIR (2020)
Christof Weiß, Hendrik Schreiber, Meinard Müller
Local Key Estimation in Music Recordings: A Case Study Across Songs, Versions, and Annotators. IEEE ACM Trans. Audio Speech Lang. Process. 28 (2020)
Hendrik Schreiber, Meinard Müller
Musical Tempo and Key Estimation using Convolutional Neural Networks with Directional Filters. CoRR (2019)
Dmitry Bogdanov, Alastair Porter, Hendrik Schreiber, Julián Urbano, Sergio Oramas
The AcousticBrainz Genre Dataset: Multi-Source, Multi-Level, Multi-Label, and Large-Scale. ISMIR (2019)
Jonathan Driedger, Hendrik Schreiber, W. Bas de Haas, Meinard Müller
Towards Automatically Correcting Tapped Beat Annotations for Music Recordings. ISMIR (2019)
Hendrik Schreiber
MediaEval 2018 AcousticBrainz Genre Task: A CNN Baseline Relying on Mel-Features. MediaEval (2018)
Hendrik Schreiber, Meinard Müller
A Single-Step Approach to Musical Tempo Estimation Using a Convolutional Neural Network. ISMIR (2018)
Hendrik Schreiber, Meinard Müller
A Crowdsourced Experiment for Tempo Estimation of Electronic Dance Music. ISMIR (2018)
Dmitry Bogdanov, Alastair Porter, Julián Urbano, Hendrik Schreiber
The MediaEval 2018 AcousticBrainz Genre Task: Content-based Music Genre Recognition from Multiple Sources. MediaEval (2018)
Dmitry Bogdanov, Alastair Porter, Julián Urbano, Hendrik Schreiber
The MediaEval 2017 AcousticBrainz Genre Task: Content-based Music Genre Recognition from Multiple Sources. MediaEval (2017)
Hendrik Schreiber, Meinard Müller
A Post-Processing Procedure for Improving Music Tempo Estimates Using Supervised Learning. ISMIR (2017)
Hendrik Schreiber
Genre Ontology Learning: Comparing Curated with Crowd-Sourced Ontologies. ISMIR (2016)
Hendrik Schreiber
Improving Genre Annotations for the Million Song Dataset. ISMIR (2015)
Perdita Löhr, Hendrik Schreiber
Gnadenbrot für ein Legacy Testsystem. Softwaretechnik-Trends 35 (3) (2015)
Hendrik Schreiber, Meinard Müller
Accelerating Index-Based Audio Identification. IEEE Trans. Multim. 16 (6) (2014)
Hendrik Schreiber, Meinard Müller
Exploiting global features for tempo octave correction. ICASSP (2014)
Hendrik Schreiber, Peter Grosche, Meinard Müller
A Re-ordering Strategy for Accelerating Index-based Audio Fingerprinting. ISMIR (2011)