Hendrik Schreiber

22 papers Misc 2Journal 6Unranked 13
YearRankTypeTitle / Venue / Authors
2024 — conf
Lyrics Transcription for Humans: A Readability-Aware Benchmark.
ISMIR
Ondrej Cífka, Hendrik Schreiber, Luke Miner, Fabian-Robert Stöter
2024 J jnl
Lyrics Transcription for Humans: A Readability-Aware Benchmark.
CoRR
Ondrej Cífka, Hendrik Schreiber, Luke Miner, Fabian-Robert Stöter
2023 J jnl
Jam-ALT: A Formatting-Aware Lyrics Transcription Benchmark.
CoRR
Ondrej Cífka, Constantinos Dimitriou, Cheng-i Wang, Hendrik Schreiber, Luke Miner, Fabian-Robert Stöter
2020 — —
Data-Driven Approaches for Tempo and Key Estimation of Music Recordings (Datengetriebene Verfahren für Tempo- und Tonart-Schätzung von Musikaufnahmen)
Hendrik Schreiber
2020 Misc conf
Local Key Estimation In Classical Music Recordings: A Cross-Version Study on Schubert's Winterreise.
ICASSP
Hendrik Schreiber, Christof Weiß, Meinard Müller
2020 J jnl
Local Key Estimation in Music Recordings: A Case Study Across Songs, Versions, and Annotators.
IEEE ACM Trans. Audio Speech Lang. Process.
Christof Weiß, Hendrik Schreiber, Meinard Müller
2020 — conf
Modeling and Estimating Local Tempo: A Case Study on Chopin's Mazurkas.
ISMIR
Hendrik Schreiber, Frank Zalkow, Meinard Müller
2020 J jnl
Music Tempo Estimation: Are We Done Yet?
Trans. Int. Soc. Music. Inf. Retr.
Hendrik Schreiber, Julián Urbano, Meinard Müller
2019 J jnl
Musical Tempo and Key Estimation using Convolutional Neural Networks with Directional Filters.
CoRR
Hendrik Schreiber, Meinard Müller
2019 — conf
The AcousticBrainz Genre Dataset: Multi-Source, Multi-Level, Multi-Label, and Large-Scale.
ISMIR
Dmitry Bogdanov, Alastair Porter, Hendrik Schreiber, Julián Urbano, Sergio Oramas
2019 — conf
Towards Automatically Correcting Tapped Beat Annotations for Music Recordings.
ISMIR
Jonathan Driedger, Hendrik Schreiber, W. Bas de Haas, Meinard Müller
2018 — conf
A Crowdsourced Experiment for Tempo Estimation of Electronic Dance Music.
ISMIR
Hendrik Schreiber, Meinard Müller
2018 — conf
A Single-Step Approach to Musical Tempo Estimation Using a Convolutional Neural Network.
ISMIR
Hendrik Schreiber, Meinard Müller
2018 — conf
MediaEval 2018 AcousticBrainz Genre Task: A CNN Baseline Relying on Mel-Features.
MediaEval
Hendrik Schreiber
2018 — conf
The MediaEval 2018 AcousticBrainz Genre Task: Content-based Music Genre Recognition from Multiple Sources.
MediaEval
Dmitry Bogdanov, Alastair Porter, Julián Urbano, Hendrik Schreiber
2017 — conf
A Post-Processing Procedure for Improving Music Tempo Estimates Using Supervised Learning.
ISMIR
Hendrik Schreiber, Meinard Müller
2017 — conf
The MediaEval 2017 AcousticBrainz Genre Task: Content-based Music Genre Recognition from Multiple Sources.
MediaEval
Dmitry Bogdanov, Alastair Porter, Julián Urbano, Hendrik Schreiber
2016 — conf
Genre Ontology Learning: Comparing Curated with Crowd-Sourced Ontologies.
ISMIR
Hendrik Schreiber
2015 — conf
Improving Genre Annotations for the Million Song Dataset.
ISMIR
Hendrik Schreiber
2014 J jnl
Accelerating Index-Based Audio Identification.
IEEE Trans. Multim.
Hendrik Schreiber, Meinard Müller
2014 Misc conf
Exploiting global features for tempo octave correction.
ICASSP
Hendrik Schreiber, Meinard Müller
2011 — conf
A Re-ordering Strategy for Accelerating Index-based Audio Fingerprinting.
ISMIR
Hendrik Schreiber, Peter Grosche, Meinard Müller