Title |
Authors |
Year |
Associated Projects |
Sonic Visualiser: An Open Source Application for Viewing, Analysing, and Annotating Music Audio Files |
Chris Cannam Queen Mary, University of London Christian Landone Queen Mary, University of LondonMark Sandler Queen Mary, University of London
| 2010 |
Sonic Visualiser
|
The sonic visualiser: A visualisation platform for semantic descriptors from musical signals |
Chris Cannam Queen Mary, University of London Christian Landone Queen Mary, University of LondonMark Sandler Queen Mary, University of London
| 2006 |
Sonic Visualiser
|
Live Tracking of Musical Performances Using On-Line Time Warping |
Simon Dixon Austrian Research Institute for Artificial Intelligence
| 2005 |
MATCH
|
MATCH: A Music Alignment Tool Chest |
Simon Dixon Austrian Research Institute for Artificial Intelligence Gerhard Widmer Johannes Kepler University
| 2005 |
MATCH
|
Approximate Note Transcription for the Improved Identification of Difficult Chords |
Matthias Mauch Queen Mary University of London Simon Dixon Queen Mary, University of London
| 2010 |
NNLS Chroma and Chordino
|
Complex Domain Onset Detection for Musical Signals |
Chris Duxbury Queen Mary University of London Juan Pablo Bello Queen Mary University of LondonMark Sandler Queen Mary University of LondonMike Davies Queen Mary University of London
| 2003 |
QM-DSP QM Vamp Plugins
|
Adaptive whitening for improved real-time audio onset detection |
Dan Stowell Queen Mary University of London Mark D. Plumbley Queen Mary, University of London
| 2007 |
QM-DSP QM Vamp Plugins
|
Drum Source Separation using Percussive Feature Detection and Spectral Modulation |
Dan Barry Dublin Institute of Technology Derry Fitzgerald Cork Institute of TechnologyBob Lawlor National University of IrelandEugene Coyle Dublin Institute of Technology
| 2005 |
QM-DSP QM Vamp Plugins
|
Context-Dependent Beat Tracking of Musical Audio |
Matthew E. P. Davies Queen Mary University of London Mark D. Plumbley Queen Mary University of London
| 2007 |
QM Vamp Plugins Davies Beat Tracker QM-DSP
|
Beat Tracking With A Two State Model |
Matthew E. P. Davies Queen Mary University of London Mark D. Plumbley Queen Mary University of London
| 2005 |
QM Vamp Plugins Davies Beat Tracker QM-DSP
|
A spectral difference approach to extracting downbeats in musical audio |
Matthew E. P. Davies Queen Mary University of London Mark D. Plumbley Queen Mary University of London
| 2006 |
QM-DSP QM Vamp Plugins
|
Detecting harmonic change in musical audio |
Christopher Harte Queen Mary, University of London Mark Sandler Queen Mary University of LondonMartin Gasser Austrian Research Institute for Artificial Intelligence
| 2006 |
QM-DSP QM Vamp Plugins
|
Composite spectrogram using multiple Fourier transforms |
Xue Wen Queen Mary University of London Mark Sandler Queen Mary University of London
| 2009 |
QM-DSP QM Vamp Plugins
|
Structural Segmentation of Musical Audio by Constrained Clustering |
Mark Levy Queen Mary University of London Mark Sandler Queen Mary University of London
| 2008 |
QM-DSP QM Vamp Plugins
|
Automatic Extraction of Tempo and Beat from Expressive Performances |
Simon Dixon Austrian Research Institute for Artificial Intelligence
| 2001 |
BeatRoot BeatRoot Vamp Plugin
|
Onset Detection Revisited |
Simon Dixon Austrian Research Institute for Artificial Intelligence
| 2006 |
BeatRoot
|
An Interactive Beat Tracking and Visualisation System |
Simon Dixon Austrian Research Institute for Artificial Intelligence
| 2001 |
BeatRoot BeatRoot Vamp Plugin
|
MIREX 2006 Audio Beat Tracking Evaluation: BeatRoot |
Simon Dixon Austrian Research Institute for Artificial Intelligence
| 2006 |
BeatRoot
|
Evaluation of the Audio Beat Tracking System BeatRoot |
Simon Dixon Queen Mary, University of London
| 2007 |
BeatRoot
|
Unsupervised statistical learning underpins computational, behavioural and neural manifestations of musical expectation |
Marcus Pearce Queen Mary, University of London Maria Herrojo Ruiz Joydeep Bhattacharya Geraint Wiggins Selina Kapasi
| 2010 |
Melodic Expectation Paradigm
|
Towards Automatic Extraction of Harmony Information from Music Signals |
Christopher Harte Queen Mary, University of London
| 2010 |
Queen Mary C4DM Chord Transcriptions and Chord Tools
|
Analysis-based Sparse Reconstruction with Synthesis-based Solvers |
Nicolae Cleju Queen Mary, University of London Maria Jafari Queen Mary, University of LondonMark Plumbley Queen Mary, University of London
| 2012 |
Analysis by Synthesis recovery
|
Multi-target pitch tracking of vibrato sources in noise using the GM-PHD filter |
Dan Stowell Centre for Digital Music, Queen Mary University of London, UK Mark D Plumbley Centre for Digital Music, Queen Mary University of London, UK
| 2012 |
gmphd
|
Multi-Template Shift-Variant Non-Negative Matrix Deconvolution for Semi-Automatic Music Transcription |
Holger Kirchhoff Queen Mary, University of London Simon Dixon Queen Mary, University of LondonAnssi Klapuri Queen Mary, University of London
| 2012 |
svNMDMT
|
Shift-variant non-negative matrix deconvolution for music transcription |
Holger Kirchhoff Queen Mary, University of London Simon Dixon Queen Mary, University of LondonAnssi Klapuri Queen Mary, University of London
| 2012 |
svNMD
|
SMALLbox - an evaluation framework for sparse representations and dictionary learning algorithms |
Ivan Damnjanovic Queen Mary, University of London Mark D. Plumbley Queen Mary, University of LondonMatthew E. P. Davies Queen Mary University of London
| 2010 |
SMALLbox
|
LibXtract: A lightweight library for audio feature extraction |
Jamie Bullock Birmingham Conservatoire
| 2007 |
LibXtract
|
Automatic Annotation of Musical Audio for Interactive Applications |
Paul M. Brossier Queen Mary, University of London
| 2007 |
aubio
|
Real-time temporal segmentation of note objects in music signals |
Paul M. Brossier Queen Mary, University of London Juan Pablo Bello Queen Mary University of LondonMark D. Plumbley Queen Mary, University of London
| 2004 |
aubio
|
Fast labelling of notes in music signals |
Paul M. Brossier Queen Mary, University of London Juan Pablo Bello Queen Mary University of LondonMark D. Plumbley Queen Mary, University of London
| 2004 |
aubio
|
The role of expectation and probabilistic learning in auditory boundary perception: A model comparison |
Marcus Pearce Queen Mary, University of London Daniel Müllensiefen Goldsmiths, University of LondonGeraint Wiggins Queen Mary, University of London
| 2010 |
IDyOM Project
|
Missing template estimation for user-assisted music transcription |
Kirchhoff, Holger Queen Mary, University of London Dixon, Simon Queen Mary, University of LondonKlapuri, Anssi Queen Mary, University of London
| 2013 |
Source-Filter Model
|
Sound Software: Towards Software Reuse in Audio and Music Research |
Chris Cannam Queen Mary, University of London Luís A. Figueira Queen Mary, University of LondonMark D. Plumbley Queen Mary, University of London
| 2012 |
SoundSoftware Code Site SoundSoftware ICASSP 2012 SoundSoftware Project
|
Derivation of update equations for a source-filter model based on beta-divergence |
Kirchhoff, Holger Queen Mary, University of London Dixon, Simon Queen Mary, University of LondonKlapuri, Anssi Queen Mary, University of London
| 2012 |
Source-Filter Model
|
Missing template estimation for user-assisted music transcription |
Kirchhoff, Holger Queen Mary, University of London Dixon, Simon Queen Mary, University of LondonKlapuri, Anssi Queen Mary, University of London
| 2013 |
Adaptation of musical instrument spectra
|
Cross-recording adaptation of musical instrument spectra |
Kirchhoff, Holger Queen Mary, University of London Dixon, Simon Queen Mary, University of LondonKlapuri, Anssi Queen Mary, University of London
| 2012 |
Adaptation of musical instrument spectra
|
Unit testing: An audio research example |
Chris Cannam Queen Mary, University of London
| 2012 |
Cepstral Pitch Tracker
|
A frequency-selective feedback model of auditory efferent suppression and its implications for the recognition of speech in noise |
Nick Clark University of Essex
| 2012 |
BioAid - The Biologically Inspired Hearing Aid
|
Software Techniques for Good Practice in Audio and Music Research |
Luís A. Figueira Queen Mary, University of London Chris Cannam Queen Mary, University of LondonMark D. Plumbley Queen Mary, University of London
| 2013 |
SoundSoftware Project
|
Reliability-Informed Beat Tracking of Musical Signals |
Norberto Degara University of Vigo
| 2012 |
Reliability-Informed Beat Tracker
|
Constant-Q transform toolbox for music processing |
Christian Schörkhuber Institute of Electronic Music and Acoustics University of Music and Performing Arts, Graz Anssi Klapuri Queen Mary, University of London
| 2010 |
Constant-Q Transform Toolbox C++ Constant-Q
|
Linked Data And You: Bringing music research software into the Semantic Web |
Chris Cannam Queen Mary, University of London Michael O. Jewell Goldsmiths, University of LondonMark Sandler Queen Mary, University of LondonChristophe Rhodes Goldsmiths, University of LondonMark d'Inverno Goldsmiths, University of London
| 2010 |
Sonic Annotator
|
A Multifaceted Approach to Music Similarity |
Kurt Jacobson University of Miami Kurt Jacobson
| 2006 |
QM-DSP QM Vamp Plugins
|
Lightweight measures for timbral similarity of musical audio |
Mark Levy Queen Mary University of London Mark Sandler Queen Mary University of London
| 2006 |
QM-DSP QM Vamp Plugins
|
Detection and Classification of Acoustic Scenes and Events |
Dimitrios Giannoulis Queen Mary University of London Emmanouil Benetos City University LondonMathieu Lagrange IRCAMDan Stowell QMULMathias Rossignol IRCAMMark Plumbley QMUL
| 2013 |
Audio Event Detection
|
Enabling Access to Sound Archives through Integration, Enrichment and Retrieval: the EASAIER Project |
Christian Landone Queen Mary, University of London Joseph Harrop Royal Scottish Academy of Music and DramaJosh Reiss Queen Mary, University of London
| 2007 |
EASAIER Sound Access
|
Using Musical Structure to Enhance Automatic Chord Transcription |
Matthias Mauch Queen Mary, University of London Katy C. Noland Queen Mary, University of LondonDixon, Simon Queen Mary, University of London
| 2009 |
Segmentino
|
Automatic Chord Transcription from Audio Using Computational Models of Musical Context |
Matthias Mauch Queen Mary, University of London
| 2010 |
Segmentino
|
MPEG-A: Interactive Music Application Format |
Inseon Jang
Panos Kudumakis Mark Sandler Kyeongok Kang
| 2011 |
IMAF Encoder HTML5 IM AF Player v1 (G Herrero) MPEG Developments
|
An MFCC-GMM approach for event detection and classification |
Lode Vuegen
B Van Den Broeck P Karsmakers Jort F Gemmeke B Vanrumste H Van Hamme
| 2013 |
Event Detection: Vuegen et al
|
An HTML5 Interactive (MPEG-A IM AF) Music Player |
Giacomo Herrero
Panos Kudumakis Lorenzo Tardon Isabel Barbancho Mark Sandler
| 2013 |
MPEG Developments HTML5 IM AF Player v1 (G Herrero)
|
A meta-analysis of the MIREX Structural Segmentation task |
Jordan B. L. Smith Queen Mary University of London Elaine Chew Queen Mary University of London
| 2013 |
MIREX meta-analysis
|
An effcient shift-invariant model for polyphonic music transcription |
Emmanouil Benetos City University London Srikanth Cherla City University LondonTillman Weyde City University London
| 2013 |
Automatic Music Transcription using efficient Multi-Source SI-PLCA (+GPU support)
|
The Audio Degradation Toolbox and its Application to Robustness Evaluation |
Matthias Mauch Queen Mary, University of London Sebastian Ewert Queen Mary, University of London
| 2013 |
Audio Degradation Toolbox
|
Interactive Music Applications and Standards |
Rebecca Stewart
Panos Kudumakis Mark Sandler
| 2011 |
MPEG Developments
|
MPEG-M: Multimedia Service Platform Technologies |
Xin Wang
Panos Kudumakis Sergio Matone Mark Sandler
| 2011 |
IMAF Encoder HTML5 IM AF Player v1 (G Herrero) MPEG Developments
|
IEEE AASP scene classification challenge using hidden Markov models and frame based classification |
May Chum
Ariel Habshush Abrar Rahman Christopher Sang
| 2013 |
Scene Classification: Chum et al
|
The wonders of the normalized compression dissimilarity representation |
Emanuele Olivetti
| 2013 |
Scene Classification: Olivetti
|
An exemplar-based NMF approach for audio event detection |
Jort F Gemmeke
Lode Vuegen B Vanrumste H Van Hamme
| 2013 |
Event Detection: Gemmeke et al
|
Sinusoidal Polynomial Parameter Estimation Using the Distribution Derivative |
Michaël Betser Department of Signal Processing, Tampere University of Technology, FI-33720 Tampere, Finland
| 2009 |
DDM
|
Recurrence Quantification Analysis for auditory scene classification |
Gerard Roma
Waldo Nogueira Perfecto Herrera
| 2013 |
Scene Classification: Roma et al
|
Recognising acoustic scenes with large-scale audio feature extraction and SVM |
Jürgen T. Geiger
Bjoern Schuller Gerhard Rigoll
| 2013 |
Scene Classification: Geiger et al
|
Large-Scale Audio Feature Extraction and SVM for Acoustic Scene Classification |
Jürgen T. Geiger Institute for Human-Machine Communication Bjoern Schuller Gerhard Rigoll
| 2013 |
Scene Classification: Geiger et al
|
Design and applications of a multi-touch musical keyboard |
Andrew McPherson Queen Mary University of London Youngmoo Kim Drexel University
| 2011 |
TouchKeys
|
TouchKeys: capacitive multi-touch sensing on a physical keyboard |
Andrew McPherson Queen Mary University of London
| 2012 |
TouchKeys
|
The space between the notes: adding expressive pitch control to the piano keyboard |
Andrew McPherson Queen Mary University of London Adrian Gierakowski Queen Mary, University of LondonAdam Stark Queen Mary, University of London
| 2013 |
TouchKeys
|
Portable measurement and mapping of continuous piano gesture |
Andrew McPherson Queen Mary University of London
| 2013 |
TouchKeys
|
A hybrid keyboard-guitar interface using capacitive touch sensing and physical modeling |
Christian Heinrichs Queen Mary, University of London Andrew McPherson Queen Mary University of London
| 2012 |
TouchKeys
|
MIREX 2013 Entry: Vamp Plugins from the Centre for Digital Music |
Chris Cannam Queen Mary, University of London Matthias Mauch Queen Mary University of LondonMatthew E. P. Davies Queen Mary University of LondonDixon, Simon Queen Mary, University of LondonChristian Landone Queen Mary, University of LondonKaty C. Noland Queen Mary, University of LondonMark Levy Queen Mary University of LondonMassimiliano Zanoni Queen Mary, University of LondonDan Stowell Queen Mary University of LondonLuís A. Figueira Queen Mary, University of London
| 2013 |
Segmentino BeatRoot Vamp Plugin QM Vamp Plugins Cepstral Pitch Tracker
|
Cyclic tempogram - a mid-level tempo representation for music signals |
Peter Grosche Saarland University and MPI Informatik Meinard Müller Saarland University and MPI InformatikFrank Kurth Fraunhofer-FKIE
| 2010 |
Vamp Tempogram Plugin
|
Interactive Music Applications by MPEG-A Support in Sonic Visualiser |
Jesus Garcia
Costantino Taglialatela Panos Kudumakis Isabel Barbancho Lorenzo Tardon Mark Sandler
| 2014 |
IMAF Encoder HTML5 IM AF Player v1 (G Herrero) MPEG Developments
|
Real-Time Beat-Synchronous Analysis of Musical Audio |
Adam Stark Queen Mary, University of London Matthew E. P. Davies Queen Mary University of LondonMark D. Plumbley Queen Mary University of London
| 2009 |
BTrack - A Real-Time Beat Tracker
|
Musicians and Machines: Bridging the Semantic Gap in Live Performance |
Adam Stark Queen Mary, University of London
| 2011 |
BTrack - A Real-Time Beat Tracker
|
The Construction and Evaluation of Statistical Models of Melodic Structure in Music Perception and Composition |
Marcus Pearce Queen Mary, University of London
| 2005 |
IDyOM Project
|
A Shift-Invariant Latent Variable Model for Automatic Music Transcription |
Emmanouil Benetos Queen Mary University of London Dixon, Simon Queen Mary, University of London
| 2012 |
Silvet Note Transcription
|
Multiple-F0 Estimation and Note Tracking for MIREX 2012 using a Shift-Invariant Latent Variable Model |
Emmanouil Benetos Queen Mary University of London Simon Dixon Queen Mary, University of London
| 2012 |
Silvet Note Transcription
|
Multiple-instrument polyphonic music transcription using a temporally constrained shift-invariant model |
Emmanouil Benetos Queen Mary University of London Dixon, Simon Queen Mary, University of London
| 2013 |
Silvet Note Transcription
|
Automatic Transcription of pitched and unpitched sounds from polyphonic music |
Emmanouil Benetos City University London Sebastian Ewert Queen Mary, University of LondonTillman Weyde City University London
| 2014 |
Automatic Transcription of pitched and unpitched sounds from polyphonic music
|
Syncopation and score |
Chunyang Song Queen Mary University of London Christopher Harte Queen Mary, University of LondonMarcus Pearce Queen Mary, University of LondonMark Sandler Queen Mary, University of London
| 2013 |
SynPy Toolkit and Syncopation Perceptual Dataset
|
Tracking of pitch probabilities in congenital amusia |
Omigie, D. Goldsmiths, University of London Marcus Pearce Queen Mary, University of LondonLauren Stewart Goldsmiths, University of London
| 2012 |
IDyOM Project
|
Simultaneous estimation of chords and musical context from audio |
Matthias Mauch Queen Mary University of London Dixon, Simon Queen Mary, University of London
| 2010 |
Mauch MIREX 2010
|
pYIN: A Fundamental Frequency Estimator Using Probabilistic Threshold Distributions |
Matthias Mauch Queen Mary University of London Dixon, Simon Queen Mary, University of London
| 2014 |
pYIN — pitch and note tracking in monophonic audio Tony: a tool for melody transcription
|
Multiple-F0 estimation and note tracking for MIREX 2013 using an efficient latent variable model |
Emmanouil Benetos City University London Tillman Weyde City University London
| 2013 |
Automatic Music Transcription using efficient Multi-Source SI-PLCA (+GPU support)
|
MIREX 2014: Vamp Plugins from the Centre for Digital Music |
Chris Cannam Queen Mary, University of London Emmanouil Benetos City University LondonMatthias Mauch Queen Mary University of LondonMatthew E. P. Davies Queen Mary University of LondonDixon, Simon Queen Mary, University of LondonChristian Landone Queen Mary, University of LondonKaty C. Noland Queen Mary, University of LondonDan Stowell Queen Mary University of London
| 2014 |
QM Vamp Plugins
|
Identification of the lateral position of a virtual object based on echoes by humans |
Daniel Rowan University of Southampton Timos Papadopoulos University of SouthamptonDavid Edwards Hannah Holmes Anna Hollingdale Leah Evans Robert Allen
| 2013 |
Human Echolocation
|
Identification of auditory cues utilized in human echolocation - objective measurement results |
Timos Papadopoulos University of Southampton David S. Edwards Daniel Rowan University of SouthamptonRobert Allen
| 2011 |
Human Echolocation
|
Dimensionality and Appropriation in Digital Musical Instrument Design |
Victor Zappi Queen Mary University of London Andrew P. McPherson Queen Mary University of LondonAndrew P. McPherson Queen Mary University of London
| 2014 |
Bela
|
Score-informed transcription for automatic piano tutoring |
Emmanouil Benetos Queen Mary University of London Anssi Klapuri Queen Mary, University of LondonDixon, Simon Queen Mary, University of London
| 2012 |
Score-informed piano transcription
|
APE: Audio Perceptual Evaluation Toolbox for MATLAB |
Brecht De Man Queen Mary, University of London Josh Reiss Queen Mary, University of London
| 2014 |
APE Perceptual Evaluation
|
A Pairwise and Multiple Stimuli Approach to Perceptual Evaluation of Microphone Types |
Brecht De Man Queen Mary, University of London Josh Reiss Queen Mary, University of London
| 2013 |
APE Perceptual Evaluation
|
A Semantic Approach to Autonomous Mixing |
Brecht De Man Queen Mary, University of London Josh Reiss Queen Mary, University of London
| 2013 |
APE Perceptual Evaluation
|
A Knowledge-Engineered Autonomous Mixing System |
Brecht De Man Queen Mary, University of London Josh Reiss Queen Mary, University of London
| 2013 |
APE Perceptual Evaluation
|
Adaptive Control of Amplitude Distortion Effects |
Brecht De Man Queen Mary, University of London Josh Reiss Queen Mary, University of London
| 2014 |
APE Perceptual Evaluation
|
Modelling the decay of piano sounds |
Tian Cheng Queen Mary, University of London Dixon, Simon Queen Mary, University of LondonMatthias Mauch Queen Mary University of London
| 2015 |
Inharmonicity
|
A parametric model and estimation techniques for the inharmonicity and tuning of the piano |
Rigaud, F.
David, B. Daudet, L.
| 2013 |
Inharmonicity
|
Predictive Uncertainty in Auditory Sequence Processing |
Niels Christian Hansen Aarhus University Hospital Marcus Pearce Queen Mary, University of London
| 2014 |
IDyOM Project
|
Electrophysiological correlates of melodic processing in congenital amusia |
D. Omigie
Marcus Pearce Queen Mary, University of LondonV. Williamson L. Stewart
| 2013 |
IDyOM Project
|
Computer-aided Melody Note Transcription Using the Tony Software: Accuracy and Efficiency |
M. Mauch Queen Mary University of London C. Cannam Queen Mary, University of LondonR. Bittner New York UniversityG. Fazekas Queen Mary, University of LondonJ. Salamon New York UniversityJ. Dai Queen Mary, University of LondonJ. Bello New York UniversityS. Dixon Queen Mary, University of London
| 2015 |
Tony: a tool for melody transcription pYIN — pitch and note tracking in monophonic audio
|
Audio Effects: Theory, Implementation and Application |
Joshua D. Reiss Queen Mary University of London Andrew McPherson Queen Mary, University of London
| 2014 |
Code for Reiss & McPherson, "Audio Effects: Theory, Implementation and Application"
|
Design and Use of a Hackable Digital Instrument |
Victor Zappi Queen Mary University of London Andrew P. McPherson Queen Mary University of London
| 2014 |
Bela
|
An Environment for Submillisecond-Latency Audio and Sensor Processing on BeagleBone Black |
Andrew McPherson Queen Mary University of London Victor Zappi University of British Columbia
| 2015 |
Bela
|
Analysis of Intonation Trajectories in Solo Singing |
Jiajie Dai Queen Mary, University of London Matthias Mauch Dixon, Simon Queen Mary, University of London
| 2015 |
Resources for "Analysis of Intonation Trajectories in Solo Singing"
|
Syncopation: Unifying Music Theory and Perception |
Chunyang Song Queen Mary University of London
| 2015 |
SynPy Toolkit and Syncopation Perceptual Dataset
|
Design and Evaluation of Onset Detectors Using Different Fusion Policies |
Mi Tian Queen Mary, University of London Gyorgy Fazekas Queen Mary, University of LondonDawn Black Mark B. Sandler Queen Mary, University of London
| 2014 |
Audio Onset Detection based on Fusion
|
Towards timbre-invariant audio features for harmony-based music |
Meinard Müller Saarland University and MPI Informatik Sebastian Ewert Queen Mary, University of London
| 2010 |
Timbre-Invariant Pitch Chroma
|
Automatic transcription of Turkish makam music |
Emmanouil Benetos Queen Mary University of London Andre Holzapfel Bogazici University
| 2013 |
Automatic transcription of Turkish makam music
|
Automatic transcription of Turkish microtonal music |
Emmanouil Benetos Queen Mary University of London Andre Holzapfel Bogazici University
| 2015 |
Automatic transcription of Turkish makam music
|
Web Audio Evaluation Tool: A Browser-based Listening Test Environment |
Nicholas Jillings Queen Mary, University of London Brecht De Man Queen Mary, University of LondonDavid Moffat Queen Mary, University of LondonJoshua D. Reiss Queen Mary, University of London
| 2015 |
Web Audio Evaluation Tool
|
An efficient temporally-constrained probabilistic model for multiple-instrument music transcription |
Emmanouil Benetos Queen Mary University of London Tillman Weyde City University London
| 2015 |
An efficient temporally-constrained probabilistic model for multiple-instrument music transcription
|
SynPy: a python toolkit for syncopation modelling |
Chunyang Song Queen Mary University of London Marcus Pearce Queen Mary, University of LondonChristopher Harte University of York
| 2015 |
SynPy Toolkit and Syncopation Perceptual Dataset
|
Detection of overlapping acoustic events using a temporally-constrained probabilistic model |
Emmanouil Benetos Queen Mary University of London Gregoire Lafay IRCCYN, Nantes, FranceMathieu Lagrange IRCCYN, nantes, FranceMark Plumbley University of Surrey
| 2016 |
Detection of overlapping acoustic events using a temporally-constrained probabilistic model
|
Analysing Scattering-Based Music Content Analysis Systems: Where's the Music? |
Francisco Rodríguez-Algarra Centre for Digital Music, Queen Mary University of London Bob L. Sturm Centre for Digital Music, Queen Mary University of LondonHugo Maruri-Aguilar School of Mathematical Sciences, Queen Mary University of London
| 2016 |
Analysis of Scattering-Based MCA Systems
|
Automatic Control of a Digital Reverberation Effect using Hybrid Models |
Chourdakis, E. T. Queen Mary University of London Reiss, J. D. Queen Mary University of London
| 2016 |
A machine learning approach to application of intelligent artificial reverberation
|
Web Audio Evaluation Tool: A framework for subjective assessment of audio |
Nicholas Jillings Birmingham City University De Man, Brecht Queen Mary, University of LondonDavid Moffat Queen Mary, University of LondonJoshua D. Reiss Queen Mary University of LondonRyan Stables Birmingham City University
| 2016 |
Web Audio Evaluation Tool
|
Modal Synthesis of Weapon Sounds |
Lucas Mengual Queen Mary University of London David Moffat Queen Mary University of LondonJoshua D. Reiss Queen Mary, University of London
| 2016 |
Modal Synthesis of Weapon Sounds
|
Learning a feature space for similarity in world music |
Maria Panteli Queen Mary University of London Emmanouil Benetos Queen Mary University of LondonSimon Dixon Queen Mary University of London
| 2016 |
Feature Space for World Music Similarity
|
On the evaluation of rhythmic and melodic descriptors for music similarity |
Maria Panteli Queen Mary University of London Simon Dixon Queen Mary University of London
| 2016 |
Evaluation of Rhythmic and Melodic Descriptors
|
An attack/decay model for piano transcription |
Tian Cheng Queen Mary, University of London Matthias Mauch Queen Mary University of LondonEmmanouil Benetos Queen Mary University of LondonDixon, Simon Queen Mary, University of London
| 2016 |
An attack/decay model for piano transcription
|
Hybrid music recommender using content-based and social information |
Paulo Chiliguano Queen Mary, University of London Gyorgy Fazekas Queen Mary, University of London
| 2016 |
Hybrid music recommender using content-based and social information
|
Polyphonic Sound Event Tracking using Linear Dynamical Systems |
Emmanouil Benetos Queen Mary University of London Grégoire Lafay Ecole Centrale de NantesMathieu Lagrange Ecole Centrale de NantesMark D. Plumbley University of Surrey
| 2017 |
Polyphonic Sound Event Tracking using Linear Dynamical Systems
|
Subjective comparison of music production practices using the Web Audio Evaluation Tool |
Nicholas Jillings Birmingham City University Brecht De Man Queen Mary, University of LondonDavid Moffat Queen Mary, University of LondonJoshua D. Reiss Queen Mary, University of LondonRyan Stables Birmingham City University
| 2016 |
Web Audio Evaluation Tool
|
A Machine-Learning Approach to Application of Intelligent Artificial Reverberation |
Emmanouil Theofanis Chourdakis Queen Mary, University of London Joshua D. Reiss Queen Mary, University of London
| 2017 |
A machine learning approach to application of intelligent artificial reverberation
|
Automatic transcription of Turkish microtonal music |
Emmanouil Benetos Queen Mary University of London Andre Holzapfel Bogazici University
| 2015 |
Silvet Note Transcription
|
Score-informed transcription for automatic piano tutoring |
Emmanouil Benetos Queen Mary University of London Klapuri, Anssi Queen Mary, University of LondonDixon, Simon Queen Mary, University of London
| 2012 |
Score-informed Piano Transcription Dataset
|
Score-Informed Identification of Missing and Extra Notes in Piano Recordings |
Sebastian Ewert Queen Mary University of London Siying Wang Queen Mary University of LondonMeinard Müller International Audio Laboratories ErlangenMark B. Sandler Queen Mary University of London
| 2016 |
Score-informed Piano Transcription Dataset
|
Unsupervised Taxonomy of Sound Effects |
David Moffat Queen Mary, University of London David Ronan Queen Mary, University of LondonJoshua D. Reiss Queen Mary University of London
| 2017 |
SFX Subgrouping
|
Intelligent Multitrack Reverberation Based on Hinge-Loss Markov Random Fields |
Adán L. Benito Queen Mary University of London Joshua D. Reiss Queen Mary University of London
| 2017 |
Intelligent Multitrack Reverberation Based on Hinge-Loss Markov Random Fields
|
A Study on LSTM Networks for Polyphonic Music Sequence Modelling |
Adrien Ycart Centre for Digital Music, Queen Mary University of London Emmanouil Benetos Centre for Digital Music, Queen Mary University of London
| 2017 |
A Study on LSTM Networks for Polyphonic Music Sequence Modelling
|
Local Interpretable Model-Agnostic Explanations for Music Content Analysis |
Saumitra Mishra Queen Mary, University of London Bob L. Sturm Centre for Digital Music, Queen Mary University of LondonDixon, Simon Queen Mary, University of London
| 2017 |
SoundLIME
|
Piano Pedaller: A Measurement System for Classification and Visualisation of Piano Pedalling Techniques |
Beici Liang Queen Mary University of London Gyorgy Fazekas Queen Mary University of LondonAndrew P. McPherson Queen Mary University of LondonMark B. Sandler Queen Mary University of London
| 2017 |
Analysis of Piano Pedalling
|
Recognition of Piano Pedalling Techniques Using Gesture Data |
Beici Liang Queen Mary University of London Gyorgy Fazekas Queen Mary University of LondonMark B. Sandler Queen Mary University of London
| 2017 |
Analysis of Piano Pedalling
|
Detection of Piano Pedaling Techniques on the Sustain Pedal |
Beici Liang Queen Mary University of London Gyorgy Fazekas Queen Mary University of LondonMark B. Sandler Queen Mary University of London
| 2017 |
Analysis of Piano Pedalling
|
Perceptual Evaluation of Synthesized Sound Effects |
David Moffat Queen Mary, University of London Joshua D. Reiss Queen Mary, University of London
| 2018 |
Perceptual Evaluation of Sound Synthesis
|
Perceptual Evaluation of Synthesized Sound Effects |
David Moffat Queen Mary, University of London Joshua D. Reiss Queen Mary, University of London
| 2018 |
Time Domain Probabilistic Concatenative Synthesis
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Prediction and Entropy of Music |
D. Conklin
| 1990 |
IDyOM Project
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Multiple viewpoint systems for music prediction |
D. Conklin
I. H. Witten
| 1995 |
IDyOM Project
|
Statistical learning and probabilistic prediction in music cognition: mechanisms of stylistic enculturation |
Marcus Pearce Queen Mary, University of London
| 2018 |
IDyOM Project
|
The fan-chirp transform for non-stationary harmonic signals |
Luis Weruaga
Márian Képesi
| 2007 |
Vamp Fan Chirp Plugin
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Fan Chirp Transform for Music Representation |
Pablo Cancela Universidad de la República, Uruguay Ernesto López Universidad de la República, UruguayMartín Rocamora Universidad de la República, Uruguay
| 2010 |
Vamp Fan Chirp Plugin
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Pitch Content Visualization Tools for Music Performance Analysis |
Luis Jure Universidad de la República, Uruguay Ernesto López Universidad de la República, UruguayMartín Rocamora Universidad de la República, UruguayPablo Cancela Universidad de la República, UruguayHaldo Sponton Universidad de la República, UruguayIgnacio Irigaray Universidad de la República, Uruguay
| 2012 |
Vamp Fan Chirp Plugin
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Objective Evaluations of Synthesised Environmental Sounds |
David Moffat Queen Mary University of London Joshua D. Reiss Queen Mary, University of London
| 2018 |
synthParameterOptimiser
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ANALYSIS OF VOCAL IMITATIONS OF PITCH TRAJECTORIES |
Jiajie Dai
Simon Dixon Queen Mary University of London
| 2017 |
Analysis of Interactive Intonation in Unaccompanied SATB Ensembles
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Characterising Confounding Effects in Music Classification Experiments through Interventions |
Rodriguez-Algarra, Francisco Queen Mary University of London Sturm, Bob L. Royal Institute of Technology KTHDixon, Simon Queen Mary University of London
| 2019 |
Characterising Confounding Effects in Music Classification Experiments through Interventions
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Piper: Audio Feature Extraction in Browser and Mobile Applications |
Lucas Thompson Queen Mary, University of London Chris Cannam Queen Mary, University of LondonMark Sandler Queen Mary University of London
| 2017 |
Piper
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