| 2024 | ICASSP | Tempo Estimation as Fully Self-Supervised Binary Classification. | Florian Henkel, Jaehun Kim, Matthew C. McCallum, Samuel E. Sandberg, Matthew E. P. Davies |
| 2024 | ICASSP | 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 |
| 2024 | ICASSP | 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 |
| 2024 | ISM | VEMOCLAP: A video emotion classification web application. | Serkan Sulun, Paula Viana, Matthew E. P. Davies |
| 2023 | ICASSP | Tempo vs. Pitch: Understanding Self-Supervised Tempo Estimation. | Giovana Morais, Matthew E. P. Davies, Marcelo Queiroz, Magdalena Fuentes |
| 2017 | ICASSP | Automatic musical key estimation with adaptive mode bias. | Gilberto Bernardes, Matthew E. P. Davies, Carlos Guedes |
| 2013 | ICASSP | An open-source drum transcription system for Pure Data and Max MSP. | Marius Miron, Matthew E. P. Davies, Fabien Gouyon |
| 2012 | ICASSP | On the automatic identification of difficult examples for beat tracking: Towards building new evaluation datasets. | Andre Holzapfel, Matthew E. P. Davies, Jos Ricardo Zapata, Joo Lobato Oliveira, Fabien Gouyon |
| 2010 | ICASSP | Note onset detection using rhythmic structure. | Norberto Degara, Antonio S. Pena, Matthew E. P. Davies, Mark D. Plumbley |
| 2007 | ICASSP | On the Use of Entropy for Beat Tracking Evaluation. | Matthew E. P. Davies, Mark D. Plumbley |
| 2005 | ICASSP | Beat tracking with a two state model [music applications]. | Matthew E. P. Davies, Mark D. Plumbley |