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Matthew E. P. Davies
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2020 – today
- 2024
- [j15]Serkan Sulun
, Paula Viana
Movie trailer genre classification using multimodal pretrained features. Expert Syst. Appl. 258: 125209 (2024) - [c32]Matthew C. McCallum, Matthew E. P. Davies, Florian Henkel, Jaehun Kim, Samuel E. Sandberg:
On The Effect Of Data-Augmentation On Local Embedding Properties In The Contrastive Learning Of Music Audio Representations. ICASSP 2024: 671-675 - [c31]Matthew C. McCallum, Florian Henkel, Jaehun Kim, Samuel E. Sandberg, Matthew E. P. Davies:
Similar but Faster: Manipulation of Tempo in Music Audio Embeddings for Tempo Prediction and Search. ICASSP 2024: 686-690 - [c30]Florian Henkel, Jaehun Kim, Matthew C. McCallum, Samuel E. Sandberg, Matthew E. P. Davies:
Tempo Estimation as Fully Self-Supervised Binary Classification. ICASSP 2024: 1356-1360 - [i14]Matthew C. McCallum, Matthew E. P. Davies, Florian Henkel, Jaehun Kim, Samuel E. Sandberg:
On the Effect of Data-Augmentation on Local Embedding Properties in the Contrastive Learning of Music Audio Representations. CoRR abs/2401.08889 (2024) - [i13]Florian Henkel, Jaehun Kim, Matthew C. McCallum, Samuel E. Sandberg, Matthew E. P. Davies:
Tempo estimation as fully self-supervised binary classification. CoRR abs/2401.08891 (2024) - [i12]Matthew C. McCallum, Florian Henkel, Jaehun Kim, Samuel E. Sandberg, Matthew E. P. Davies:
Similar but Faster: Manipulation of Tempo in Music Audio Embeddings for Tempo Prediction and Search. CoRR abs/2401.08902 (2024) - [i11]Serkan Sulun, Paula Viana, Matthew E. P. Davies:
Movie Trailer Genre Classification Using Multimodal Pretrained Features. CoRR abs/2410.19760 (2024) - [i10]Serkan Sulun, Paula Viana, Matthew E. P. Davies:
VEMOCLAP: A video emotion classification web application. CoRR abs/2410.21303 (2024) - 2023
- [j14]Ching-Yu Chiu
Local Periodicity-Based Beat Tracking for Expressive Classical Piano Music. IEEE ACM Trans. Audio Speech Lang. Process. 31: 2824-2835 (2023) - [c29]Giovana Morais, Matthew E. P. Davies, Marcelo Queiroz, Magdalena Fuentes
Tempo vs. Pitch: Understanding Self-Supervised Tempo Estimation. ICASSP 2023: 1-5 - [i9]Giovana Morais, Matthew E. P. Davies, Marcelo Queiroz, Magdalena Fuentes:
Tempo vs. Pitch: understanding self-supervised tempo estimation. CoRR abs/2304.06868 (2023) - [i8]Ching-Yu Chiu, Meinard Müller, Matthew E. P. Davies, Alvin Wen-Yu Su, Yi-Hsuan Yang:
Local Periodicity-Based Beat Tracking for Expressive Classical Piano Music. CoRR abs/2308.10355 (2023) - 2022
- [j13]Serkan Sulun
Symbolic Music Generation Conditioned on Continuous-Valued Emotions. IEEE Access 10: 44617-44626 (2022) - [j12]Ching-Yu Chiu
An Analysis Method for Metric-Level Switching in Beat Tracking. IEEE Signal Process. Lett. 29: 2153-2157 (2022) - [i7]Serkan Sulun, Matthew E. P. Davies, Paula Viana:
Symbolic music generation conditioned on continuous-valued emotions. CoRR abs/2203.16165 (2022) - [i6]Ching-Yu Chiu, Meinard Müller, Matthew E. P. Davies, Alvin Wen-Yu Su, Yi-Hsuan Yang:
An Analysis Method for Metric-Level Switching in Beat Tracking. CoRR abs/2210.06817 (2022) - 2021
- [j11]Serkan Sulun
On Filter Generalization for Music Bandwidth Extension Using Deep Neural Networks. IEEE J. Sel. Top. Signal Process. 15(1): 132-142 (2021) - 2020
- [c28]Sebastian Böck, Matthew E. P. Davies:
Deconstruct, Analyse, Reconstruct: How to improve Tempo, Beat, and Downbeat Estimation. ISMIR 2020: 574-582 - [c27]Matthew E. P. Davies, Magdalena Fuentes, João Fonseca, Luís Aly, Marco Jerónimo, Filippo Bonini Baraldi:
Moving in Time: Computational Analysis of Microtiming in Maracatu de Baque Solto. ISMIR 2020: 795-802 - [i5]António Ramires, Gilberto Bernardes, Matthew E. P. Davies, Xavier Serra:
TIV.lib: an open-source library for the tonal description of musical audio. CoRR abs/2008.11529 (2020) - [i4]António Sá Pinto, Inês Domingues, Matthew E. P. Davies:
Shift If You Can: Counting and Visualising Correction Operations for Beat Tracking Evaluation. CoRR abs/2011.01637 (2020) - [i3]Serkan Sulun, Matthew E. P. Davies:
On Filter Generalization for Music Bandwidth Extension Using Deep Neural Networks. CoRR abs/2011.07274 (2020)
2010 – 2019
- 2019
- [c26]António Sá Pinto
Tapping Along to the Difficult Ones: Leveraging User-Input for Beat Tracking in Highly Expressive Musical Content. CMMR 2019: 75-90 - [c25]Sebastian Böck, Matthew E. P. Davies, Peter Knees:
Multi-Task Learning of Tempo and Beat: Learning One to Improve the Other. ISMIR 2019: 486-493 - [c24]Oriol Nieto, Matthew C. McCallum, Matthew E. P. Davies, Andrew Robertson, Adam M. Stark, Eran Egozy:
The Harmonix Set: Beats, Downbeats, and Functional Segment Annotations of Western Popular Music. ISMIR 2019: 565-572 - 2018
- [e1]Mitsuko Aramaki, Matthew E. P. Davies, Richard Kronland-Martinet, Sølvi Ystad:
Music Technology with Swing - 13th International Symposium, CMMR 2017, Matosinhos, Portugal, September 25-28, 2017, Revised Selected Papers. Lecture Notes in Computer Science 11265, Springer 2018, ISBN 978-3-030-01691-3 [contents] - [i2]António Ramires, Rui Penha, Matthew E. P. Davies
User Specific Adaptation in Automatic Transcription of Vocalised Percussion. CoRR abs/1811.02406 (2018) - [i1]António Ramires, Diogo Cocharro, Matthew E. P. Davies
An audio-only method for advertisement detection in broadcast television content. CoRR abs/1811.02411 (2018) - 2017
- [j10]Craig T. Jin
Embedded Systems Feel the Beat in New Orleans: Highlights from the IEEE Signal Processing Cup 2017 Student Competition [SP Competitions]. IEEE Signal Process. Mag. 34(4): 143-170 (2017) - [c23]Gilberto Bernardes
A Hierarchical Harmonic Mixing Method. CMMR 2017: 151-170 - [c22]Gilberto Bernardes
Automatic musical key estimation with adaptive mode bias. ICASSP 2017: 316-320 - 2016
- [j9]Gilberto Bernardes
Harmony Generation Driven by a Perceptually Motivated Tonal Interval Space. Comput. Entertain. 14(2): 6:1-6:21 (2016) - 2015
- [c21]Gilberto Bernardes
Conchord: An Application for Generating Musical Harmony by Navigating in the Tonal Interval Space. CMMR 2015: 243-260 - 2014
- [j8]José Ricardo Zapata
Multi-Feature Beat Tracking. IEEE ACM Trans. Audio Speech Lang. Process. 22(4): 816-825 (2014) - [j7]Matthew E. P. Davies
AutoMashUpper: automatic creation of multi-song music mashups. IEEE ACM Trans. Audio Speech Lang. Process. 22(12): 1726-1737 (2014) - [c20]Gilberto Bernardes, Matthew E. P. Davies, Carlos Guedes, Bruce W. Pennycook:
Considering Roughness to Describe and Generate Vertical Musical Structure in Content-Based Algorithmic-Assisted Audio Composition. ICMC 2014 - [c19]Diogo Cocharro, George Sioros, Marcelo F. Caetano, Matthew E. P. Davies:
Real-time Manipulation of Syncopation in Audio Loops. ICMC 2014 - [c18]Matthew E. P. Davies, Sebastian Böck:
Evaluating the Evaluation Measures for Beat Tracking. ISMIR 2014: 637-642 - [c17]Matthew E. P. Davies, Adam M. Stark, Fabien Gouyon, Masataka Goto:
Improvasher: A Real-Time Mashup System for Live Musical Input. NIME 2014: 541-544 - 2013
- [c16]Marius Miron
An open-source drum transcription system for Pure Data and Max MSP. ICASSP 2013: 221-225 - [c15]Philippe Hamel, Matthew E. P. Davies, Kazuyoshi Yoshii, Masataka Goto:
Transfer Learning In Mir: Sharing Learned Latent Representations For Music Audio Classification And Similarity. ISMIR 2013: 9-14 - [c14]Matthew E. P. Davies, Philippe Hamel, Kazuyoshi Yoshii, Masataka Goto:
AutoMashUpper: An Automatic Multi-Song Mashup System. ISMIR 2013: 575-580 - 2012
- [j6]Norberto Degara, Enrique Argones-Rúa, Antonio S. Pena
Reliability-Informed Beat Tracking of Musical Signals. IEEE Trans. Speech Audio Process. 20(1): 290-301 (2012) - [j5]Andre Holzapfel, Matthew E. P. Davies
Selective Sampling for Beat Tracking Evaluation. IEEE Trans. Speech Audio Process. 20(9): 2539-2548 (2012) - [j4]João Lobato Oliveira
Beat Tracking for Multiple Applications: A Multi-Agent System Architecture With State Recovery. IEEE Trans. Speech Audio Process. 20(10): 2696-2706 (2012) - [c13]Andre Holzapfel, Matthew E. P. Davies
On the automatic identification of difficult examples for beat tracking: Towards building new evaluation datasets. ICASSP 2012: 89-92 - [c12]José Ricardo Zapata, Andre Holzapfel, Matthew E. P. Davies, João Lobato Oliveira, Fabien Gouyon:
Assigning a Confidence Threshold on Automatic Beat Annotation in Large Datasets. ISMIR 2012: 157-162 - [c11]Jason Hockman, Matthew E. P. Davies, Ichiro Fujinaga:
One in the Jungle: Downbeat Detection in Hardcore, Jungle, and Drum and Bass. ISMIR 2012: 169-174 - 2011
- [j3]Norberto Degara, Matthew E. P. Davies
Onset Event Decoding Exploiting the Rhythmic Structure of Polyphonic Music. IEEE J. Sel. Top. Signal Process. 5(6): 1228-1239 (2011) - [j2]Matthew E. P. Davies
Measuring the Performance of Beat Tracking Algorithms Using a Beat Error Histogram. IEEE Signal Process. Lett. 18(3): 157-160 (2011) - 2010
- [c10]Ivan Damnjanovic, Matthew E. P. Davies
SMALLbox - An Evaluation Framework for Sparse Representations and Dictionary Learning Algorithms. LVA/ICA 2010: 418-425 - [c9]Norberto Degara, Antonio S. Pena
Note onset detection using rhythmic structure. ICASSP 2010: 5526-5529
2000 – 2009
- 2009
- [c8]Matthew E. P. Davies
Towards a musical beat emphasis function. WASPAA 2009: 61-64 - 2008
- [c7]Matthew E. P. Davies, Mark D. Plumbley:
Exploring the effect of rhythmic style classification on automatic tempo estimation. EUSIPCO 2008: 1-5 - [c6]Adam M. Stark, Matthew E. P. Davies, Mark D. Plumbley:
Rhythmic Analysis for Real-Time audio effects. ICMC 2008 - 2007
- [j1]Matthew E. P. Davies
Context-Dependent Beat Tracking of Musical Audio. IEEE Trans. Speech Audio Process. 15(3): 1009-1020 (2007) - [c5]Matthew E. P. Davies
On the Use of Entropy for Beat Tracking Evaluation. ICASSP (4) 2007: 1305-1308 - [c4]Adam M. Stark, Mark D. Plumbley
Real-Time Beat-Synchronous Audio Effects. NIME 2007: 344-345 - 2006
- [c3]Matthew E. P. Davies, Mark D. Plumbley:
A spectral difference approach to downbeat extraction in musical audio. EUSIPCO 2006: 1-4 - 2005
- [c2]Matthew E. P. Davies
Beat tracking with a two state model [music applications]. ICASSP (3) 2005: 241-244 - 2004
- [c1]Matthew E. P. Davies, Mark D. Plumbley:
Causal Tempo Tracking of Audio. ISMIR 2004
Coauthor Index
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