| 2023 | ICASSP | Rigid-Body Sound Synthesis with Differentiable Modal Resonators. | Rodrigo Diaz, Ben Hayes, Charalampos Saitis, Gyrgy Fazekas, Mark B. Sandler |
| 2022 | ICASSP | Violinist Identification Using Note-Level Timbre Feature Distributions. | Yudong Zhao, Gyrgy Fazekas, Mark B. Sandler |
| 2021 | Interspeech | Vocal Harmony Separation Using Time-Domain Neural Networks. | Saurjya Sarkar, Emmanouil Benetos, Mark B. Sandler |
| 2020 | ICASSP | The Fifthnet Chroma Extractor. | Ken O'Hanlon, Mark B. Sandler |
| 2020 | ICASSP | A Study on the Transferability of Adversarial Attacks in Sound Event Classification. | Vinod Subramanian, Arjun Pankajakshan, Emmanouil Benetos, Ning Xu, SKoT McDonald, Mark B. Sandler |
| 2019 | ICASSP | Piano Sustain-pedal Detection Using Convolutional Neural Networks. | Beici Liang, Gyrgy Fazekas, Mark B. Sandler |
| 2019 | ICASSP | Comparing CQT and Reassignment Based Chroma Features for Template-based Automatic Chord Recognition. | Ken O'Hanlon, Mark B. Sandler |
| 2019 | IJCNN | Transfer Learning for Piano Sustain-Pedal Detection. | Beici Liang, Gyrgy Fazekas, Mark B. Sandler |
| 2019 | IUI | Groove Explorer: An Intelligent Visual Interface for Drum Loop Library Navigation. | Fred Bruford, Mathieu Barthet, SKoT McDonald, Mark B. Sandler |
| 2019 | IUI | A Web-Based System For Suggesting New Practice Material To Music Learners Based On Chord Content. | Johan Pauwels, Mark B. Sandler |
| 2018 | ICASSP | Similarity Measures for Vocal-Based Drum Sample Retrieval Using Deep Convolutional Auto-Encoders. | Adib Mehrabi, Keunwoo Choi, Simon Dixon, Mark B. Sandler |
| 2018 | ICASSP | Improved Detection of Semi-Percussive Onsets in Audio Using Temporal Reassignment. | Ken O'Hanlon, Mark B. Sandler |
| 2018 | ICASSP | Shift-Invariant Kernel Additive Modelling for Audio Source Separation. | Delia Fano Yela, Sebastian Ewert, Ken O'Hanlon, Mark B. Sandler |
| 2018 | WWW | MusicLynx: Exploring Music Through Artist Similarity Graphs. | Alo Allik, Florian Thalmann, Mark B. Sandler |
| 2017 | ICASSP | Convolutional recurrent neural networks for music classification. | Keunwoo Choi, Gyrgy Fazekas, Mark B. Sandler, Kyunghyun Cho |
| 2017 | ICASSP | Structured dropout for weak label and multi-instance learning and its application to score-informed source separation. | Sebastian Ewert, Mark B. Sandler |
| 2017 | ICASSP | Improved template based chord recognition using the CRP feature. | Ken O'Hanlon, Sebastian Ewert, Johan Pauwels, Mark B. Sandler |
| 2017 | ICASSP | Tracking metrical structure changes with sparse-NMF. | Elio Quinton, Ken O'Hanlon, Simon Dixon, Mark B. Sandler |
| 2017 | ICASSP | Interference reduction in music recordings combining Kernel Additive Modelling and Non-Negative Matrix Factorization. | Delia Fano Yela, Sebastian Ewert, Derry FitzGerald, Mark B. Sandler |
| 2016 | ICASSP | An iterative hard thresholding approach to ℓ0 sparse Hellinger NMF. | Ken O'Hanlon, Mark B. Sandler |
| 2016 | ICASSP | Estimation of the reliability of multiple rhythm features extraction from a single descriptor. | Elio Quinton, Mark B. Sandler, Simon Dixon |
| 2016 | ICASSP | A score-informed shift-invariant extension of complex matrix factorization for improving the separation of overlapped partials in music recordings. | Francisco J. Rodrguez-Serrano, Sebastian Ewert, Pedro Vera-Candeas, Mark B. Sandler |
| 2015 | ICASSP | A dynamic programming variant of non-negative matrix deconvolution for the transcription of struck string instruments. | Sebastian Ewert, Mark D. Plumbley, Mark B. Sandler |
| 2015 | ICASSP | Non-negative matrix factorisation incorporating greedy hellinger sparse coding applied to polyphonic music transcription. | Ken O'Hanlon, Mark B. Sandler, Mark D. Plumbley |
| 2015 | ICASSP | On the use of the tempogram to describe audio content and its application to Music structural segmentation. | Mi Tian, Gyrgy Fazekas, Dawn A. A. Black, Mark B. Sandler |
| 2014 | ICASSP | Accounting for phase cancellations in non-negative matrix factorization using weighted distances. | Sebastian Ewert, Mark D. Plumbley, Mark B. Sandler |
| 2014 | ICASSP | A study of instrument-wise onset detection in Beijing Opera percussion ensembles. | Mi Tian, Ajay Srinivasamurthy, Mark B. Sandler, Xavier Serra |
| 2013 | ACII | Mood Conductor: Emotion-Driven Interactive Music Performance. | Gyrgy Fazekas, Mathieu Barthet, Mark B. Sandler |
| 2013 | DC | Towards the Representation of Chinese Traditional Music: A State of the Art Review of Music Metadata Standards. | Mi Tian, Gyrgy Fazekas, Dawn A. A. Black, Mark B. Sandler |
| 2013 | ICASSP | Efficient data adaption for musical source separation methods based on parametric models. | Sebastian Ewert, Meinard Mller, Mark B. Sandler |
| 2010 | ICASSP | Database of omnidirectional and B-format room impulse responses. | Rebecca Stewart, Mark B. Sandler |
| 2008 | WWW | Automatic Interlinking of Music Datasets on the Semantic Web. | Yves Raimond, Christopher Sutton, Mark B. Sandler |
| 2007 | ICASSP | A Comparison of Timbral and Harmonic Music Segmentation Algorithms. | Mark Levy, Katy C. Noland, Mark B. Sandler |
| 2006 | ICASSP | Drum Sound Analysis for the Manipulation of Rhythm in Drum Loops. | Juan Pablo Bello, Emmanuel Ravelli, Mark B. Sandler |
| 2006 | ICASSP | Linear Predictive Models for Musical Instrument Identification. | Nicolas Chetry, Mark B. Sandler |
| 2006 | ICASSP | Extraction of High-Level Musical Structure From Audio Data and Its Application to Thumbnail Generation. | Mark Levy, Mark B. Sandler, Michael A. Casey |
| 2006 | ICASSP | A Markov-Chain Monte-Carlo Approach to Musical Audio Segmentation. | Christophe Rhodes, Michael A. Casey, Samer A. Abdallah, Mark B. Sandler |
| 2003 | ICASSP | Phase-based note onset detection for music signals. | Juan Pablo Bello, Mark B. Sandler |
| 2000 | ISCAS | Applications of binaural processing to surround sound reproduction in large spaces. | Christian Landone, Mark B. Sandler |
| 1999 | ISCAS | A wavelet packet algorithm for 1D data with no block end effects. | B. Leslie, Mark B. Sandler |
| 1999 | ISCAS | Investigation of a least squares method for high order filter synthesis. | M. Price, Mark B. Sandler |
| 1998 | ICASSP | Classification of audio signals using statistical features on time and wavelet transform domains. | Tryphon Lambrou, Panos Kudumakis, Robert D. Speller, Mark B. Sandler, Alf D. Linney |
| 1995 | ICASSP | On the performance of wavelets for low bit rate coding of audio signals. | Panos Kudumakis, Mark B. Sandler |
| 1995 | ISCAS | Linearising Sigma-Delta Modulators Using Dither and Chaos. | Chris Dunn, Mark B. Sandler |
| 1995 | ISCAS | On Sigma-Delta Signal Processing Remodulator Complexity. | Simon M. Kershaw, Stephen Summerfield, Mark B. Sandler |
| 1994 | ISCAS | Modelling Sound with Chaos. | Jonathan P. Mackenzie, Mark B. Sandler |
| 1994 | ISCAS | Implementation of the IPFE Algorithm for Synthesis of High Order Recursive Filters. | M. Price, Mark B. Sandler |
| 1993 | ISCAS | General test framework for straight-line detection by Hough transforms. | Anthony R. Hare, Mark B. Sandler |
| 1993 | ISCAS | Implementation of high order recursive filters as sub-filters. | Mark B. Sandler |
| 1993 | ISCAS | Least squares IIR filter design on a logarithmic frequency scale. | Michael Waters, Mark B. Sandler |
| 1992 | ICPR | A complete shape recognition system using the Hough transform and neural network. | C. K. Chan, Mark B. Sandler |
| 1989 | BMVC | A Dynamic Combinatorial Hough Transform for Straight Lines and Circles. | Violet F. Leavers, D. Ben-Tzvi, Mark B. Sandler |
| 1989 | ICASSP | A comparative evaluation of DSPs, microprocessors and the transputer for image processing. | Mark B. Sandler, L. Hayat, L. Costa, A. A. Naqvi |