Hendrik Schreiber

International Audio Laboratories Erlangen (AudioLabs)

Music Tempo Estimation: Are We Done Yet? (2020) Schreiber H, Urbano J, Müller M Journal article Local Key Estimation In Classical Music Recordings: A Cross-Version Study on Schubert’s Winterreise (2020) Schreiber H, Weiß C, Müller M Conference contribution Local Key Estimation in Music Recordings: A Case Study across Songs, Versions, and Annotators (2020) Weiß C, Schreiber H, Müller M Journal article Modeling and Estimating Local Tempo: A Case Study on Chopin's Mazurkas (2020) Schreiber H, Zalkow F, Müller M Conference contribution, Conference Contribution Musical Tempo and Key Estimation with Directional Convolutional Neural Networks (2019) Schreiber H, Müller M Conference contribution Towards Automatically Correcting Tapped Beat Annotations for Music Recordings (2019) Driedger J, Schreiber H, Haas B, Müller M Conference contribution A Crowdsourced Experiment for Tempo Estimation of Electronic Dance Music (2018) Schreiber H, Müller M Conference contribution A Single-Step Approach to Musical Tempo Estimation Using a Convolutional Neural Network (2018) Schreiber H, Müller M Conference contribution A Post-Processing Procedure for Improving Music Tempo Estimates Using Supervised Learning (2017) Schreiber H, Müller M Conference contribution Exploiting Global Features for Tempo Octave Correction (2014) Schreiber H, Müller M Conference contribution