Learning to Listen, Read, and Follow: Score Following as a Reinforcement Learning Game. - Matthias Dorfer; Florian Henkel; Gerhard Widmer (ISMIR, 2018)

Audio-Conditioned U-Net for Position Estimation in Full Sheet Images. - Florian Henkel; Rainer Kelz; Gerhard Widmer (CoRR, 2019)

Score Following as a Multi-Modal Reinforcement Learning Problem. - Florian Henkel; Stefan Balke; Matthias Dorfer; Gerhard Widmer (Trans. Int. Soc. Music. Inf. Retr., 2019)

Low-Complexity Models for Acoustic Scene Classification Based on Receptive Field Regularization and Frequency Damping. - Khaled Koutini; Florian Henkel; Hamid Eghbal-Zadeh; Gerhard Widmer (DCASE, 2020)

Learning to Read and Follow Music in Complete Score Sheet Images. - Florian Henkel; Rainer Kelz; Gerhard Widmer (ISMIR, 2020)

Context-Adaptive Reinforcement Learning using Unsupervised Learning of Context Variables. - Hamid Eghbal-zadeh; Florian Henkel; Gerhard Widmer (Preregister@NeurIPS, 2020)

Multi-modal Conditional Bounding Box Regression for Music Score Following. - Florian Henkel; Gerhard Widmer (EUSIPCO, 2021)

Over-Parameterization and Generalization in Audio Classification. - Khaled Koutini; Hamid Eghbal-zadeh; Florian Henkel; Jan Schlüter; Gerhard Widmer (CoRR, 2021)

Fully Automatic Page Turning on Real Scores. - Florian Henkel; Stephanie Schwaiger; Gerhard Widmer (CoRR, 2021)

Real-Time Music Following in Score Sheet Images via Multi-Resolution Prediction. - Florian Henkel; Gerhard Widmer (Frontiers Comput. Sci., 2021)

The ACCompanion: Combining Reactivity, Robustness, and Musical Expressivity in an Automatic Piano Accompanist. - Carlos Cancino Chacón; Silvan Peter; Patricia Hu; Emmanouil Karystinaios; Florian Henkel; Francesco Foscarin; Gerhard Widmer (IJCAI, 2023)

The ACCompanion: Combining Reactivity, Robustness, and Musical Expressivity in an Automatic Piano Accompanist. - Carlos Cancino Chacón; Silvan Peter; Patricia Hu; Emmanouil Karystinaios; Florian Henkel; Francesco Foscarin; Nimrod Varga; Gerhard Widmer (CoRR, 2023)

Automatic Note-Level Score-to-Performance Alignments in the ASAP Dataset. - Silvan David Peter; Carlos Eduardo Cancino Chacón; Francesco Foscarin; Andrew McLeod; Florian Henkel; Emmanouil Karystinaios; Gerhard Widmer (Trans. Int. Soc. Music. Inf. Retr., 2023)

Tempo Estimation as Fully Self-Supervised Binary Classification. - Florian Henkel; Jaehun Kim; Matthew C. McCallum; Samuel E. Sandberg; Matthew E. P. Davies (ICASSP, 2024)

On The Effect Of Data-Augmentation On Local Embedding Properties In The Contrastive Learning Of Music Audio Representations. - Matthew C. McCallum; Matthew E. P. Davies; Florian Henkel; Jaehun Kim; Samuel E. Sandberg (ICASSP, 2024)

Similar but Faster: Manipulation of Tempo in Music Audio Embeddings for Tempo Prediction and Search. - Matthew C. McCallum; Florian Henkel; Jaehun Kim; Samuel E. Sandberg; Matthew E. P. Davies (ICASSP, 2024)

Transcription-Based Lyrics Embeddings: Simple Extraction of Effective Lyrics Embeddings From Audio. - Jaehun Kim; Florian Henkel; Camilo Landau; Samuel E. Sandberg; Andreas F. Ehmann (ISMIR, 2024)

Semantic IDs for Music Recommendation. - M. Jeffrey Mei; Florian Henkel; Samuel E. Sandberg; Oliver Bembom; Andreas F. Ehmann (CoRR, 2025)