Mark B. Sandler

ORCID

Publication Activity (10 Years)

Years Active: 1988-2023
Publications (10 Years): 94

Top Venues

CoRR

ICASSP

ISMIR

Audio Mostly Conference

Publications

Rodrigo Diaz, Ben Hayes, Charalampos Saitis, György Fazekas, Mark B. Sandler
Rigid-Body Sound Synthesis with Differentiable Modal Resonators. ICASSP (2023)
Franco Caspe, Andrew P. McPherson, Mark B. Sandler
FM Tone Transfer with Envelope Learning. Audio Mostly Conference (2023)
Yudong Zhao, György Fazekas, Mark B. Sandler
Violinist Identification Using Note-Level Timbre Feature Distributions. ICASSP (2022)
Alejandro Delgado, Charalampos Saitis, Emmanouil Benetos, Mark B. Sandler
Deep Conditional Representation Learning for Drum Sample Retrieval by Vocalisation. CoRR (2022)
Jeff Miller, Ken O'Hanlon, Mark B. Sandler
Improving Balance in Automatic Chord Recognition with Random Forests. EUSIPCO (2022)
Alejandro Delgado, Emir Demirel, Vinod Subramanian, Charalampos Saitis, Mark B. Sandler
Deep Embeddings for Robust User-Based Amateur Vocal Percussion Classification. CoRR (2022)
Vinod Subramanian, Siddharth Gururani, Emmanouil Benetos, Mark B. Sandler
Anomalous behaviour in loss-gradient based interpretability methods. CoRR (2022)
Saurjya Sarkar, Emmanouil Benetos, Mark B. Sandler
Vocal Harmony Separation Using Time-Domain Neural Networks. Interspeech (2021)
Yudong Zhao, Changhong Wang, György Fazekas, Emmanouil Benetos, Mark B. Sandler
Violinist identification based on vibrato features. EUSIPCO (2021)
Alejandro Delgado, SKoT McDonald, Ning Xu, Charalampos Saitis, Mark B. Sandler
Learning Models for Query by Vocal Percussion: A Comparative Study. CoRR (2021)
Ken O'Hanlon, Mark B. Sandler
FifthNet: Structured Compact Neural Networks for Automatic Chord Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 29 (2021)
Beici Liang, György Fazekas, Mark B. Sandler
Transfer Learning for Piano Sustain-Pedal Detection. CoRR (2021)
Ken O'Hanlon, Mark B. Sandler
The Fifthnet Chroma Extractor. ICASSP (2020)
Vinod Subramanian, Arjun Pankajakshan, Emmanouil Benetos, Ning Xu, SKoT McDonald, Mark B. Sandler
A Study on the Transferability of Adversarial Attacks in Sound Event Classification. ICASSP (2020)
Panos Kudumakis, Thomas Wilmering, Mark B. Sandler, Víctor Rodríguez-Doncel, Laurent Boch, Jaime Delgado
The Challenge: From MPEG Intellectual Property Rights Ontologies to Smart Contracts and Blockchains [Standards in a Nutshell]. IEEE Signal Process. Mag. 37 (2) (2020)
Fred Bruford, Olivier Lartillot, SKoT McDonald, Mark B. Sandler
Multidimensional similarity modelling of complex drum loops using the GrooveToolbox. ISMIR (2020)
Florian Thalmann, Kazuyoshi Yoshii, Thomas Wilmering, Geraint A. Wiggins, Mark B. Sandler
A Method for Analysis of Shared Structure in Large Music Collections using Techniques from Genetic Sequencing and Graph Theory. ISMIR (2020)
Johan Pauwels, György Fazekas, Mark B. Sandler
A Critical Look at the Applicability of Markov Logic Networks for Music Signal Analysis. CoRR (2020)
Florian Thalmann, Geraint A. Wiggins, Mark B. Sandler
Representing Modifiable and Reusable Musical Content on the Web With Constrained Multi-Hierarchical Structures. IEEE Trans. Multim. 22 (10) (2020)
Delia Fano Yela, Dan Stowell, Mark B. Sandler
Spectral Visibility Graphs: Application to Similarity of Harmonic Signals. EUSIPCO (2019)
Johan Pauwels, Mark B. Sandler
A Web-Based System For Suggesting New Practice Material To Music Learners Based On Chord Content. IUI Workshops (2019)
Fred Bruford, Mathieu Barthet, SKoT McDonald, Mark B. Sandler
Groove Explorer: An Intelligent Visual Interface for Drum Loop Library Navigation. IUI Workshops (2019)
Panos Kudumakis, Thomas Wilmering, Mark B. Sandler, Jeremy D. Foss
MPEG Intellectual Property Rights Ontologies for Media Trading and Personalization. DataTV@TVX (2019)
Delia Fano Yela, Dan Stowell, Mark B. Sandler
Visibility graphs for robust harmonic similarity measures between audio spectra. CoRR (2019)
Vinod Subramanian, Emmanouil Benetos, Ning Xu, SKoT McDonald, Mark B. Sandler
Adversarial Attacks in Sound Event Classification. CoRR (2019)
Beici Liang, György Fazekas, Mark B. Sandler
Transfer Learning for Piano Sustain-Pedal Detection. IJCNN (2019)
Vinod Subramanian, Emmanouil Benetos, Mark B. Sandler
Robustness of Adversarial Attacks in Sound Event Classification. DCASE (2019)
Dalia Senvaityte, Johan Pauwels, Mark B. Sandler
Guitar String Separation Using Non-Negative Matrix Factorization and Factor Deconvolution. Audio Mostly Conference (2019)
Delia Fano Yela, Florian Thalmann, Vincenzo Nicosia, Dan Stowell, Mark B. Sandler
Efficient On-line Computation of Visibility Graphs. CoRR (2019)
Alejandro Delgado, SKoT McDonald, Ning Xu, Mark B. Sandler
A New Dataset for Amateur Vocal Percussion Analysis. Audio Mostly Conference (2019)
Johan Pauwels, Ken O'Hanlon, Emilia Gómez, Mark B. Sandler
20 Years of Automatic Chord Recognition from Audio. ISMIR (2019)
Fred Bruford, Mathieu Barthet, SKoT McDonald, Mark B. Sandler
Modelling Musical Similarity for Drum Patterns: A Perceptual Evaluation. Audio Mostly Conference (2019)
Ken O'Hanlon, Mark B. Sandler
Comparing CQT and Reassignment Based Chroma Features for Template-based Automatic Chord Recognition. ICASSP (2019)
Beici Liang, György Fazekas, Mark B. Sandler
Piano Sustain-pedal Detection Using Convolutional Neural Networks. ICASSP (2019)
Alo Allik, Florian Thalmann, Mark B. Sandler
MusicLynx: Exploring Music Through Artist Similarity Graphs. WWW (Companion Volume) (2018)
Adib Mehrabi, Keunwoo Choi, Simon Dixon, Mark B. Sandler
Similarity Measures for Vocal-Based Drum Sample Retrieval Using Deep Convolutional Auto-Encoders. ICASSP (2018)
Adib Mehrabi, Keunwoo Choi, Simon Dixon, Mark B. Sandler
Similarity measures for vocal-based drum sample retrieval using deep convolutional auto-encoders. CoRR (2018)
Delia Fano Yela, Dan Stowell, Mark B. Sandler
Does k Matter? k-NN Hubness Analysis for Kernel Additive Modelling Vocal Separation. CoRR (2018)
Thomas Wilmering, Florian Thalmann, Mark B. Sandler
Exploration of Grateful Dead Concerts and Memorabilia on the Semantic Web. ISWC (P&D/Industry/BlueSky) (2018)
Beici Liang, György Fazekas, Mark B. Sandler
Piano Legato-Pedal Onset Detection Based on a Sympathetic Resonance Measure. EUSIPCO (2018)
Ken O'Hanlon, Mark B. Sandler
Improved Detection of Semi-Percussive Onsets in Audio Using Temporal Reassignment. ICASSP (2018)
Delia Fano Yela, Sebastian Ewert, Ken O'Hanlon, Mark B. Sandler
Shift-Invariant Kernel Additive Modelling for Audio Source Separation. ICASSP (2018)
Florian Thalmann, Thomas Wilmering, Mark B. Sandler
Cultural Heritage Documentation and Exploration of Live Music Events with Linked Data. SAAM@ISWC (2018)
Delia Fano Yela, Dan Stowell, Mark B. Sandler
Does k Matter? k-NN Hubness Analysis for Kernel Additive Modelling Vocal Separation. LVA/ICA (2018)
Keunwoo Choi, György Fazekas, Mark B. Sandler, Kyunghyun Cho
A Comparison of Audio Signal Preprocessing Methods for Deep Neural Networks on Music Tagging. EUSIPCO (2018)
Keunwoo Choi, György Fazekas, Kyunghyun Cho, Mark B. Sandler
The Effects of Noisy Labels on Deep Convolutional Neural Networks for Music Tagging. IEEE Trans. Emerg. Top. Comput. Intell. 2 (2) (2018)
Delia Fano Yela, Sebastian Ewert, Ken O'Hanlon, Mark B. Sandler
Shift-Invariant Kernel Additive Modelling for Audio Source Separation. CoRR (2017)
Delia Fano Yela, Sebastian Ewert, Derry FitzGerald, Mark B. Sandler
On the Importance of Temporal Context in Proximity Kernels: A Vocal Separation Case Study. CoRR (2017)
Ken O'Hanlon, Sebastian Ewert, Johan Pauwels, Mark B. Sandler
Improved template based chord recognition using the CRP feature. ICASSP (2017)
Keunwoo Choi, György Fazekas, Kyunghyun Cho, Mark B. Sandler
A Tutorial on Deep Learning for Music Information Retrieval. CoRR (2017)
Keunwoo Choi, György Fazekas, Mark B. Sandler, Kyunghyun Cho
Convolutional recurrent neural networks for music classification. ICASSP (2017)
Johan Pauwels, Ken O'Hanlon, György Fazekas, Mark B. Sandler
Confidence Measures and Their Applications in Music Labelling Systems Based on Hidden Markov Models. ISMIR (2017)
Elio Quinton, Ken O'Hanlon, Simon Dixon, Mark B. Sandler
Tracking metrical structure changes with sparse-NMF. ICASSP (2017)
Sebastian Ewert, Mark B. Sandler
An Augmented Lagrangian Method for Piano Transcription using Equal Loudness Thresholding and LSTM-based Decoding. CoRR (2017)
Keunwoo Choi, György Fazekas, Mark B. Sandler, Kyunghyun Cho
Transfer Learning for Music Classification and Regression Tasks. ISMIR (2017)
Beici Liang, György Fazekas, Andrew P. McPherson, Mark B. Sandler
Piano pedaller: a measurement system for classification and visualisation of piano pedalling techniques. NIME (2017)
Delia Fano Yela, Sebastian Ewert, Derry Fitzgerald, Mark B. Sandler
On the Importance of Temporal Context in Proximity Kernels: A Vocal Separation Case Study. Semantic Audio (2017)
Ben White, Adib Mehrabi, Mark B. Sandler
An Archival Echo: Recalling the public domain through real-time query by vocalisation. Audio Mostly Conference (2017)
Keunwoo Choi, György Fazekas, Mark B. Sandler, Kyunghyun Cho
Transfer learning for music classification and regression tasks. CoRR (2017)
Beici Liang, György Fazekas, Mark B. Sandler
Recognition of Piano Pedalling Techniques Using Gesture Data. Audio Mostly Conference (2017)
Keunwoo Choi, György Fazekas, Kyunghyun Cho, Mark B. Sandler
On the Robustness of Deep Convolutional Neural Networks for Music Classification. CoRR (2017)
Keunwoo Choi, György Fazekas, Kyunghyun Cho, Mark B. Sandler
A Comparison on Audio Signal Preprocessing Methods for Deep Neural Networks on Music Tagging. CoRR (2017)
Delia Fano Yela, Sebastian Ewert, Derry FitzGerald, Mark B. Sandler
Interference reduction in music recordings combining Kernel Additive Modelling and Non-Negative Matrix Factorization. ICASSP (2017)
Sebastian Ewert, Mark B. Sandler
An augmented lagrangian method for piano transcription using equal loudness thresholding and lstm-based decoding. WASPAA (2017)
Mi Tian, Mark B. Sandler
Towards Music Structural Segmentation across Genres: Features, Structural Hypotheses, and Annotation Principles. ACM Trans. Intell. Syst. Technol. 8 (2) (2017)
Sebastian Ewert, Mark B. Sandler
Structured dropout for weak label and multi-instance learning and its application to score-informed source separation. ICASSP (2017)
Sebastian Ewert, Siying Wang, Meinard Müller, Mark B. Sandler
Score-Informed Identification of Missing and Extra Notes in Piano Recordings. ISMIR (2016)
Florian Thalmann, Alfonso Pérez Carrillo, György Fazekas, Geraint A. Wiggins, Mark B. Sandler
The Mobile Audio Ontology: Experiencing Dynamic Music Objects on Mobile Devices. ICSC (2016)
Michele Buccoli, Massimiliano Zanoni, György Fazekas, Augusto Sarti, Mark B. Sandler
A Higher-Dimensional Expansion of Affective Norms for English Terms for Music Tagging. ISMIR (2016)
Florian Thalmann, György Fazekas, Geraint A. Wiggins, Mark B. Sandler
Creating, Visualizing, and Analyzing Dynamic Music Objects in the Browser with the Dymo Designer. Audio Mostly Conference (2016)
Alo Allik, György Fazekas, Mark B. Sandler
An Ontology for Audio Features. ISMIR (2016)
Thomas Wilmering, Mark B. Sandler
Interdisciplinary Classification of Audio Effects in the Audio Effect Ontology. ISWC (Posters & Demos) (2016)
Keunwoo Choi, György Fazekas, Mark B. Sandler
Explaining Deep Convolutional Neural Networks on Music Classification. CoRR (2016)
Keunwoo Choi, György Fazekas, Mark B. Sandler, Kyunghyun Cho
Convolutional Recurrent Neural Networks for Music Classification. CoRR (2016)
Elio Quinton, Mark B. Sandler, Simon Dixon
Estimation of the reliability of multiple rhythm features extraction from a single descriptor. ICASSP (2016)
Keunwoo Choi, György Fazekas, Mark B. Sandler
Automatic Tagging Using Deep Convolutional Neural Networks. ISMIR (2016)
Alo Allik, György Fazekas, Mark B. Sandler
Ontological Representation of Audio Features. ISWC (2) (2016)
Thomas Wilmering, György Fazekas, Mark B. Sandler
AUFX-O: Novel Methods for the Representation of Audio Processing Workflows. ISWC (2) (2016)
Keunwoo Choi, György Fazekas, Mark B. Sandler
Towards Playlist Generation Algorithms Using RNNs Trained on Within-Track Transitions. CoRR (2016)
Ken O'Hanlon, Mark B. Sandler
Compositional chroma estimation using powered Euclidean distance. EUSIPCO (2016)
Ken O'Hanlon, Mark B. Sandler
An iterative hard thresholding approach to ℓ0 sparse Hellinger NMF. ICASSP (2016)
Keunwoo Choi, György Fazekas, Mark B. Sandler
Text-based LSTM networks for Automatic Music Composition. CoRR (2016)
Keunwoo Choi, György Fazekas, Mark B. Sandler
Towards Music Captioning: Generating Music Playlist Descriptions. CoRR (2016)
Sebastian Ewert, Mark B. Sandler
Structured Dropout for Weak Label and Multi-Instance Learning and Its Application to Score-Informed Source Separation. CoRR (2016)
Mi Tian, Mark B. Sandler
Music Structural Segmentation Across Genres with Gammatone Features. ISMIR (2016)
Sebastian Ewert, Mark B. Sandler
Piano Transcription in the Studio Using an Extensible Alternating Directions Framework. CoRR (2016)
Alo Allik, Mariano Mora-Mcginity, György Fazekas, Mark B. Sandler
MusicWeb: Music Discovery with Open Linked Semantic Metadata. ISWC (Posters & Demos) (2016)
Pasi Saari, György Fazekas, Tuomas Eerola, Mathieu Barthet, Olivier Lartillot, Mark B. Sandler
Genre-Adaptive Semantic Computing and Audio-Based Modelling for Music Mood Annotation. IEEE Trans. Affect. Comput. 7 (2) (2016)
Keunwoo Choi, György Fazekas, Mark B. Sandler
Towards Playlist Generation Algorithms Using RNNs Trained on Within-Track Transitions. UMAP (Extended Proceedings) (2016)
Francisco J. Rodríguez-Serrano, Sebastian Ewert, Pedro Vera-Candeas, Mark B. Sandler
A score-informed shift-invariant extension of complex matrix factorization for improving the separation of overlapped partials in music recordings. ICASSP (2016)
Sebastian Ewert, Mark B. Sandler
Piano Transcription in the Studio Using an Extensible Alternating Directions Framework. IEEE ACM Trans. Audio Speech Lang. Process. 24 (11) (2016)
Mariano Mora-Mcginity, Alo Allik, György Fazekas, Mark B. Sandler
MusicWeb: Music Discovery with Open Linked Semantic Metadata. MTSR (2016)
Delia Fano Yela, Sebastian Ewert, Derry FitzGerald, Mark B. Sandler
Interference Reduction in Music Recordings Combining Kernel Additive Modelling and Non-Negative Matrix Factorization. CoRR (2016)
Keunwoo Choi, György Fazekas, Mark B. Sandler
Automatic tagging using deep convolutional neural networks. CoRR (2016)
Mathieu Barthet, György Fazekas, Alo Allik, Mark B. Sandler
Moodplay: an interactive mood-based musical experience. Audio Mostly Conference (2015)
Keunwoo Choi, György Fazekas, Mark B. Sandler
Understanding Music Playlists. CoRR (2015)
Ken O'Hanlon, Mark B. Sandler, Mark D. Plumbley
Non-negative matrix factorisation incorporating greedy hellinger sparse coding applied to polyphonic music transcription. ICASSP (2015)
Mi Tian, György Fazekas, Dawn A. A. Black, Mark B. Sandler
On the use of the tempogram to describe audio content and its application to Music structural segmentation. ICASSP (2015)
Sebastian Ewert, Mark D. Plumbley, Mark B. Sandler
A dynamic programming variant of non-negative matrix deconvolution for the transcription of struck string instruments. ICASSP (2015)
Mi Tian, György Fazekas, Dawn A. A. Black, Mark B. Sandler
Design And Evaluation of Onset Detectors using Different Fusion Policies. ISMIR (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Mark B. Sandler