Matthew C. McCallum

23 papers A 2Misc 6Journal 9Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Controllable Embedding Transformation for Mood-Guided Music Retrieval.
CoRR
Julia Wilkins, Jaehun Kim, Matthew E. P. Davies, Juan Pablo Bello, Matthew C. McCallum
2025 — conf
Quantize & Factorize: A fast yet effective unsupervised audio representation without deep learning.
ISMIR
Jaehun Kim, Matthew C. McCallum, Andreas F. Ehmann
2024 Misc conf
On The Effect Of Data-Augmentation On Local Embedding Properties In The Contrastive Learning Of Music Audio Representations.
ICASSP
Matthew C. McCallum, Matthew E. P. Davies, Florian Henkel, Jaehun Kim, Samuel E. Sandberg
2024 J jnl
On the Effect of Data-Augmentation on Local Embedding Properties in the Contrastive Learning of Music Audio Representations.
CoRR
Matthew C. McCallum, Matthew E. P. Davies, Florian Henkel, Jaehun Kim, Samuel E. Sandberg
2024 — ed.
Proceedings of the 25th International Society for Music Information Retrieval Conference, ISMIR 2024, San Francisco, California, USA and Online, November 10-14, 2024.
ISMIR
Blair Kaneshiro, Gautham J. Mysore, Oriol Nieto, Chris Donahue, Cheng-Zhi Anna Huang, Jin Ha Lee, Brian McFee, Matthew C. McCallum
2024 Misc conf
Similar but Faster: Manipulation of Tempo in Music Audio Embeddings for Tempo Prediction and Search.
ICASSP
Matthew C. McCallum, Florian Henkel, Jaehun Kim, Samuel E. Sandberg, Matthew E. P. Davies
2024 J jnl
Similar but Faster: Manipulation of Tempo in Music Audio Embeddings for Tempo Prediction and Search.
CoRR
Matthew C. McCallum, Florian Henkel, Jaehun Kim, Samuel E. Sandberg, Matthew E. P. Davies
2024 Misc conf
Tempo Estimation as Fully Self-Supervised Binary Classification.
ICASSP
Florian Henkel, Jaehun Kim, Matthew C. McCallum, Samuel E. Sandberg, Matthew E. P. Davies
2024 J jnl
Tempo estimation as fully self-supervised binary classification.
CoRR
Florian Henkel, Jaehun Kim, Matthew C. McCallum, Samuel E. Sandberg, Matthew E. P. Davies
2022 Misc conf
A Novel 1D State Space for Efficient Music Rhythmic Analysis.
ICASSP
Mojtaba Heydari, Matthew C. McCallum, Andreas F. Ehmann, Zhiyao Duan
2022 — conf
Supervised and Unsupervised Learning of Audio Representations for Music Understanding.
ISMIR
Matthew C. McCallum, Filip Korzeniowski, Sergio Oramas, Fabien Gouyon, Andreas F. Ehmann
2022 J jnl
Supervised and Unsupervised Learning of Audio Representations for Music Understanding.
CoRR
Matthew C. McCallum, Filip Korzeniowski, Sergio Oramas, Fabien Gouyon, Andreas F. Ehmann
2021 J jnl
A Novel 1D State Space for Efficient Music Rhythmic Analysis.
CoRR
Mojtaba Heydari, Matthew C. McCallum, Andreas F. Ehmann, Zhiyao Duan
2021 J jnl
Unsupervised Learning of Deep Features for Music Segmentation.
CoRR
Matthew C. McCallum
2020 — conf
Mood Classification Using Listening Data.
ISMIR
Filip Korzeniowski, Oriol Nieto, Matthew C. McCallum, Minz Won, Sergio Oramas, Erik M. Schmidt
2020 J jnl
Mood Classification Using Listening Data.
CoRR
Filip Korzeniowski, Oriol Nieto, Matthew C. McCallum, Minz Won, Sergio Oramas, Erik M. Schmidt
2019 — conf
The Harmonix Set: Beats, Downbeats, and Functional Segment Annotations of Western Popular Music.
ISMIR
Oriol Nieto, Matthew C. McCallum, Matthew E. P. Davies, Andrew Robertson, Adam M. Stark, Eran Egozy
2019 Misc conf
Unsupervised Learning of Deep Features for Music Segmentation.
ICASSP
Matthew C. McCallum
2018 Misc conf
Foreground Harmonic Noise Reduction for Robust Audio Fingerprinting.
ICASSP
Matthew C. McCallum
2013 A conf
Joint stochastic-deterministic wiener filtering with recursive Bayesian estimation of deterministic speech.
INTERSPEECH
Matthew C. McCallum, Bernard J. Guillemin
2013 J jnl
Stochastic-Deterministic MMSE STFT Speech Enhancement With General A Priori Information.
IEEE Trans. Speech Audio Process.
Matthew C. McCallum, Bernard J. Guillemin
2013 A conf
Stochastic-deterministic signal modelling for the tracking of pitch in noise and speech mixtures using factorial HMMs.
INTERSPEECH
Matthew C. McCallum, Bernard J. Guillemin
2012 — conf
Accounting for deterministic noise components in a MMSE STSA speech enhancement framework.
ISCIT
Matthew C. McCallum, Bernard J. Guillemin