Matthew C. McCallum

According to our database, Matthew C. McCallum authored at least 13 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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

CoRR, 2024

Tempo estimation as fully self-supervised binary classification.

Florian Henkel, Jaehun Kim, Matthew C. McCallum, Samuel E. Sandberg, Matthew E. P. Davies

CoRR, 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

CoRR, 2024

2022

Supervised and Unsupervised Learning of Audio Representations for Music Understanding.

Matthew C. McCallum, Filip Korzeniowski, Sergio Oramas, Fabien Gouyon, Andreas F. Ehmann

Proceedings of the 23rd International Society for Music Information Retrieval Conference, 2022

A Novel 1D State Space for Efficient Music Rhythmic Analysis.

Mojtaba Heydari, Matthew C. McCallum, Andreas F. Ehmann, Zhiyao Duan

Proceedings of the IEEE International Conference on Acoustics, 2022

2020

Mood Classification Using Listening Data.

Filip Korzeniowski, Oriol Nieto, Matthew C. McCallum, Minz Won, Sergio Oramas, Erik M. Schmidt

Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020

2019

The Harmonix Set: Beats, Downbeats, and Functional Segment Annotations of Western Popular Music.

Oriol Nieto, Matthew C. McCallum, Matthew E. P. Davies, Andrew Robertson, Adam M. Stark, Eran Egozy

Proceedings of the 20th International Society for Music Information Retrieval Conference, 2019

Unsupervised Learning of Deep Features for Music Segmentation.

Matthew C. McCallum

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Foreground Harmonic Noise Reduction for Robust Audio Fingerprinting.

Matthew C. McCallum

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2013

Stochastic-Deterministic MMSE STFT Speech Enhancement With General A Priori Information.

Matthew C. McCallum, Bernard J. Guillemin

IEEE Trans. Speech Audio Process., 2013

Stochastic-deterministic signal modelling for the tracking of pitch in noise and speech mixtures using factorial HMMs.

Matthew C. McCallum, Bernard J. Guillemin

Proceedings of the INTERSPEECH 2013, 2013

Joint stochastic-deterministic wiener filtering with recursive Bayesian estimation of deterministic speech.

Matthew C. McCallum, Bernard J. Guillemin

Proceedings of the INTERSPEECH 2013, 2013

2012

Accounting for deterministic noise components in a MMSE STSA speech enhancement framework.

Matthew C. McCallum, Bernard J. Guillemin

Proceedings of the International Symposium on Communications and Information Technologies, 2012