School of Electronic Engineering and Computer Science

Professor Simon Dixon, AMusA LMusA BSc(Hons) PhD

Simon

Professor of Computer Science

Email: s.e.dixon@qmul.ac.uk
Telephone: +44 20 7882 7681
Room Number: Engineering, Eng 406
Website: http://www.eecs.qmul.ac.uk/~simond/
Office Hours: Tuesday 16:00-17:00, Wednesday 15:00-16:00

Teaching

Music Informatics (Postgraduate/Undergraduate)

This module introduces students to state-of-the-art methods for the analysis of music data, with a focus on music audio. It presents in-depth studies of general approaches to the low-level analysis of audio signals, and follows these with specialised methods for the high-level analysis of music signals, including the extraction of information related to the rhythm, melody, harmony, form and instrumentation of recorded music. This is followed by an examination of the most important methods of extracting high-level musical content, sound source separation, and on analysing multimodal music data.

Research

Research Interests:

My research interests are in the fields of music informatics (music information retrieval), computer music, music signal processing, digital audio, artificial intelligence and cognitive science. In recent years I have been working on various problems related to extracting musical content from audio signals, with a focus on rhythm and harmony. For example, I have worked on beat tracking, audio alignment, chord and note transcription, classification and performance visualisation.

Publications

  • Weiß C, Mauch M, Dixon S et al. (2019). Investigating style evolution of Western classical music: A computational approach. nameOfConference



    Citations: 1
  • Vianna Lordelo C, Benetos E, Dixon S et al. (2019). Investigating kernel shapes and skip connections for deep learning-based harmonic-percussive separation. IEEE Workshop on Applications of Signal Processing to Audio and Acoustics

    DOI: doi


    Citations: 0
  • MISHRA S, STOLLER D, BENETOS E et al. (2019). GAN-based Generation and Automatic Selection of Explanations for Neural Networks. SafeML ICLR 2019 Workshop

    DOI: doi


    Citations: 0
  • Dai J, Dixon S (2019). Singing together: Pitch accuracy and interaction in unaccompanied unison and duet singing.. nameOfConference



    Citations: 0
  • BENETOS E, DIXON S, Duan Z et al. (2019). Automatic Music Transcription: An Overview. nameOfConference



    Citations: 0
  • Mehrabi A, Dixon S, Sandler M (2019). Correction: Vocal imitation of percussion sounds: On the perceptual similarity between imitations and imitated sounds.. nameOfConference


    QMRO: qmroHref

    Citations: 0
  • Dai J, Dixon S (2019). Understanding intonation trajectories and patterns of vocal notes. nameOfConference


    QMRO: qmroHref

    Citations: 1
  • Mehrabi A, Dixon S, Sandler M (2019). Vocal imitation of percussion sounds: On the perceptual similarity between imitations and imitated sounds.. nameOfConference



    Citations: 0
  • KUDUMAKIS P, DIXON S (2018). DMRN+13: Digital Music Research Network Workshop Proceedings 2018. DMRN+13: Digital Music Research Network Workshop 2018



    Citations: 0
  • Mishra S, Sturm BL, Dixon S (2018). “What are you listening to?” Explaining predictions of deep machine listening systems. nameOfConference



    Citations: 1
  • Stoller D, Akkermans V, Dixon S (2018). Detection of cut-points for automatic music rearrangement. IEEE International Workshop on Machine Learning for Signal Processing, MLSP



    Citations: 0
  • Li S, Dixon S, Plumbley MD (2018). A Demonstration of Hierarchical Structure Usage in Expressive Timing Analysis by Model Selection Tests. nameOfConference



    Citations: 0
  • Stoller D, Ewert S, Dixon S (2018). Adversarial Semi-Supervised Audio Source Separation Applied to Singing Voice Extraction. IEEE International Conference on Acoustics, Speech and Signal Processing



    Citations: 0
  • Mehrabi A, Choi K, Dixon S et al. (2018). Similarity Measures for Vocal-Based Drum Sample Retrieval Using Deep Convolutional Auto-Encoders. nameOfConference


    QMRO: qmroHref

    Citations: 0
  • STOLLER D, Ewert S, DIXON S (2018). Jointly detecting and separating singing voice: a multi-task approach. 14th International Conference on Latent Variable Analysis and Signal Separation



    Citations: 0
  • Nakamura E, BENETOS E, Yoshii K et al. (2018). Towards Complete Polyphonic Music Transcription: Integrating Multi-Pitch Detection and Rhythm Quantization. IEEE International Conference on Acoustics, Speech and Signal Processing



    Citations: 0
  • PANTELI M, BENETOS E, DIXON S (2018). A review of manual and computational approaches for the study of world music corpora. nameOfConference



    Citations: 0
  • Nakamura E, Nishikimi R, Dixon S et al. (2018). Probabilistic Sequential Patterns for Singing Transcription. nameOfConference



    Citations: 0
  • Mishra S, Sturm BL, Dixon S (2018). Understanding a deep machine listening model through feature inversion. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 1
  • Stoller D, Ewert S, Dixon S (2018). Wave-U-Net: A multi-scale neural network for end-to-end audio source separation. nameOfConference

    DOI: doi


    Citations: 7
  • PANTELI M, BENETOS E, DIXON S (2017). A computational study on outliers in world music. nameOfConference



    Citations: 0
  • Mohamad Z, Dixon S, Harte C (2017). Pickup position and plucking point estimation on an electric guitar via autocorrelation.. nameOfConference



    Citations: 0
  • Di Giorgi B, Dixon S, Zanoni M et al. (2017). A data-driven model of tonal chord sequence complexity. nameOfConference



    Citations: 0
  • WANG S, Ewert SEBASTIAN, Dixon SIMON (2017). Identifying Missing and Extra Notes in Piano Recordings Using Score-Informed Dictionary Learning. nameOfConference



    Citations: 0
  • NAKAMURA E, Yoshii K, Dixon S (2017). Note Value Recognition for Piano Transcription Using Markov Random Fields. nameOfConference



    Citations: 0
  • Quinton E, Dixon S, Sandler M et al. (2017). TRACKING METRICAL STRUCTURE CHANGES WITH SPARSE-NMF. 2017 IEEE International Conference on Acoustics, Speech and Signal Processing



    Citations: 0
  • Panteli M, Bittner R, Bello JP et al. (2017). Towards the characterization of singing styles in world music. IEEE International Conference on Acoustics, Speech and Signal Processing


    QMRO: qmroHref

    Citations: 0
  • Mehrabi A, Harte C, Baume C et al. (2017). Music thumbnailing for radio podcasts: A listener evaluation. nameOfConference



    Citations: 0
  • MEHRABI A, Dixon S, Sandler (2017). Vocal imitation of synthesised sounds varying in pitch, loudness and spectral centroid. nameOfConference



    Citations: 0
  • Li S, Dixon S, Plumbley MD (2017). Clustering expressive timing with regressed polynomial coefficients demonstrated by a model selection test. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 1
  • Mishra S, Sturm BL, Dixon S (2017). Local interpretable model-agnostic explanations for music content analysis. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 5
  • Mohamad Z, Dixon S, Harte C et al. (2017). PICKUP POSITION AND PLUCKING POINT ESTIMATION ON AN ELECTRIC GUITAR. nameOfConference


    QMRO: qmroHref

    Citations: 1
  • SANDLER MB, quinton E, o'hanlon K et al. (2016). Automatic Detection of Metrical Structure Changes. DMRN+11: Digital Music Research Network One-day Workshop 2016

    DOI: doi


    Citations: 0
  • MISHRA S, Sturm B, Dixon S (2016). Explaining Predictions of Machine Listening Systems. DMRN+11: Digital Music Research Network One-day Workshop 2016

    DOI: doi


    Citations: 0
  • Wang S, Ewert S, Dixon S (2016). Robust and efficient joint alignment of multiple musical performances. nameOfConference



    Citations: 0
  • MEHRABI A, Dixon S, Sandler M (2016). Towards a comprehensive dataset of vocal imitations of drum sounds. 2nd AES Workshop on Intelligent Music Production

    DOI: doi


    Citations: 0
  • Cheng T, Mauch M, Benetos E et al. (2016). An attack/decay model for piano transcription. 17th International Society for Music Information Retrieval Conference

    DOI: doi


    Citations: 0
  • Panteli M, Benetos E, Dixon S (2016). Learning a feature space for similarity in world music. 17th International Society for Music Information Retrieval Conference

    DOI: doi


    Citations: 0
  • Panteli M, Benetos E, Dixon S (2016). Automatic detection of outliers in world music collections. Fourth International Conference on Analytical Approaches to World Music (AAWM 2016)

    DOI: doi


    Citations: 0
  • Sigtia S, Benetos E, Dixon S (2016). An End-to-End Neural Network for Polyphonic Piano Music Transcription. nameOfConference



    Citations: 0
  • QUINTON E, Sandler M, Dixon S (2016). ESTIMATION OF THE RELIABILITY OF MULTIPLE RHYTHM FEATURES EXTRACTION FROM A SINGLE DESCRIPTOR. nameOfConference


    QMRO: qmroHref

    Citations: 0
  • Stoller D, Dixon S (2016). Analysis and classification of phonation modes in singing. nameOfConference

    DOI: doi


    Citations: 0
  • Song Y, Dixon S, Pearce MT et al. (2016). Perceived and Induced Emotion Responses to Popular Music: Categorical and Dimensional Models. nameOfConference



    Citations: 0
  • Cheng T, Dixon S, Mauch M (2015). Improving piano note tracking by HMM smoothing. nameOfConference


    QMRO: qmroHref

    Citations: 5
  • MOHAMAD Z, Dixon S, Harte C (2015). Digitally Moving an Electric Guitar Pickup. International Conference on Digital Audio Effects (DAFx-15)

    DOI: doi


    Citations: 0
  • MEHRABI A, Dixon S, Sandler M (2015). VOCAL IMITATION OF PITCH, SPECTRAL SHAPE AND LOUDNESS ENVELOPES. International Society for Music Information Retrieval Conference

    DOI: doi


    Citations: 0
  • Foster P, Dixon S, Klapuri A (2015). Identifying Cover Songs Using Information-Theoretic Measures of Similarity. nameOfConference



    Citations: 14
  • Sigtia S, Benetos E, Boulanger-Lewandowski N et al. (2015). A Hybrid Recurrent Neural Network for Music Transcription. 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)



    Citations: 0
  • Sigtia S, Benetos E, Boulanger-Lewandowski N et al. (2015). A HYBRID RECURRENT NEURAL NETWORK FOR MUSIC TRANSCRIPTION. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 5
  • Tubb R, Dixon S (2015). An Evaluation of Multidimensional Controllers for Sound Design Tasks. nameOfConference


    QMRO: qmroHref

    Citations: 0
  • Dai J, Mauch M, Dixon S (2015). Analysis of Intonation Trajectories in Solo Singing. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • Sigtia S, Boulanger-Lewandowski N, Dixon S (2015). Audio Chord Recognition with a Hybrid Recurrent Neural Network. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • Wilmering T, Fazekas G, Dixon S et al. (2015). Automating Annotation of Media with Linked Data Workflows. nameOfConference


    QMRO: qmroHref

    Citations: 0
  • Wang S, Ewert S, Dixon S et al. (2015). COMPENSATING FOR ASYNCHRONIES BETWEEN MUSICAL VOICES IN SCORE-PERFORMANCE ALIGNMENT. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 2
  • Osmalskyj J, Foster P, Dixon S et al. (2015). Combining Features for Cover Song Identification. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • Wang S, Ewert S, Dixon S (2015). Compensating for Asynchronies between Musical Voices in Score-Performance Alignment. nameOfConference



    Citations: 0
  • Mauch M, Cannam C, Bittner R et al. (2015). Computer-aided Melody Note Transcription Using the Tony Software: Accuracy and Efficiency. nameOfConference

    DOI: doi


    Citations: 0
  • Song Y, Dixon S (2015). How Well Can a Music Emotion Recognition System Predict the Emotional Responses of Participants?. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • Cheng T, Dixon S, Mauch M et al. (2015). MODELLING THE DECAY OF PIANO SOUNDS. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 5
  • Cheng T, Dixon S, Mauch M (2015). Modelling the Decay of Piano Sounds. IEEE International Conference on Acoustics Speech and Signal Processing


    QMRO: qmroHref

    Citations: 0
  • Tidhar D, Dixon S, Benetos E et al. (2014). The temperament police. nameOfConference



    Citations: 0
  • Weyde T, Cottrell S, Dykes J et al. (2014). Big Data for Musicology. 1st International Digital Libraries for Musicology workshop



    Citations: 0
  • Mauch M, Frieler K, Dixon S (2014). Intonation in unaccompanied singing: accuracy, drift, and a model of reference pitch memory.. nameOfConference



    Citations: 0
  • Cheng T, Dixon S, Mauch M (2014). A Comparison of Extended Source-Filter Models for Musical Signal Reconstruction. nameOfConference

    DOI: doi


    Citations: 0
  • Tubb R, Dixon S (2014). A Four Strategy Model of Creative Parameter Space Interaction. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • Tubb R, Dixon S (2014). A Zoomable Mapping of a Musical Parameter Space Using Hilbert Curves. nameOfConference



    Citations: 0
  • Weyde T, Cottrell S, Benetos E et al. (2014). Digital Music Lab - A Framework for Analysing Big Music Data. European Conference on Data Analysis (ECDA)


    QMRO: qmroHref

    Citations: 0
  • Thompson L, Mauch M, Dixon S (2014). Drum Transcription via Classification of Bar-level Rhythmic Patterns. 15th International Society for Music Information Retrieval Conference

    DOI: doi


    Citations: 0
  • Sigtia S, Dixon S (2014). Improved music feature learning with deep neural networks. nameOfConference



    Citations: 43
  • Stowell D, Dixon S (2014). Integration of informal music technologies in secondary school music lessons. nameOfConference



    Citations: 0
  • Sigtia S, Benetos E, Cherla S et al. (2014). RNN-based Music Language Models for Improving Automatic Music Transcription. nameOfConference

    DOI: doi


    Citations: 0
  • Wang S, Ewert S, Dixon S (2014). Robust Joint Alignment of Multiple Versions of a Piece of Music. nameOfConference

    DOI: doi


    Citations: 0
  • Foster P, Mauch M, Dixon S (2014). Sequential Complexity as a Descriptor for Musical Similarity. nameOfConference



    Citations: 0
  • BARTHET M, Benetos E, Cottrell S et al. (2014). The DML Research Project: Digital Music Lab - Analysing Big Music Data. Workshop on "Big Data: Challenges and Applications", Imperial College, London

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • Tubb R, Dixon S (2014). The Divergent Interface: Supporting Creative Exploration of Parameter Spaces. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • Weiss C, Mauch M, Dixon S (2014). Timbre-invariant Audio Features for Style Analysis of Classical Music. nameOfConference

    DOI: doi


    Citations: 0
  • Kirchhoff H, Badeau R, Dixon S (2014). Towards complex matrix decomposition of spectrograms based on the relative phase offsets of harmonic sounds. nameOfConference



    Citations: 3
  • Mauch M, Dixon S (2014). pYIN: a Fundamental Frequency Estimator Using Probabilistic Threshold Distributions. nameOfConference



    Citations: 0
  • Benetos E, Dixon S, Giannoulis D et al. (2013). Automatic music transcription: Challenges and future directions. nameOfConference



    Citations: 0
  • Foster P, Dixon S, Klapuri A (2013). Identification of cover songs using information theoretic measures of similarity. nameOfConference



    Citations: 3
  • Kirchhoff H, Dixon S, Klapuri A (2013). Missing template estimation for user-assisted music transcription. nameOfConference



    Citations: 7
  • Serra X, Magas M, Benetos E et al. (2013). Roadmap for Music Information ReSearch. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • Chudy M, Pe¿rez Carrillo A, Dixon S (2013). On the relation between gesture, tone production, and perception in classical cello performance.. nameOfConference


    QMRO: qmroHref

    Citations: 0
  • Benetos E, Dixon S (2013). Multiple-instrument polyphonic music transcription using a temporally constrained shift-invariant model. nameOfConference


    QMRO: qmroHref

    Citations: 0
  • Allik A, Fazekas G, Dixon S et al. (2013). A Shared Vocabulary for Audio Features. nameOfConference


    QMRO: qmroHref

    Citations: 0
  • Song Y, Dixon S, Pearce M et al. (2013). Do online social tags predict perceived or induced emotional responses to music?. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 8
  • Allik A, Fazekas G, Dixon S et al. (2013). Facilitating Music Information Research with Shared Open Vocabularies. nameOfConference


    QMRO: qmroHref

    Citations: 1
  • Kirchhoff H, Dixon S, Klapuri A (2012). Multi-template shift-variant non-negative matrix deconvolution for semi-automatic music transcription. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 12
  • Tubb R, Klapuri A, Dixon S (2012). Thewablet: Scanned synthesis on a multi-touch interface. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 1
  • BENETOS E, Dixon S, Giannoulis D et al. (2012). Automatic Music Transcription: Breaking the Glass Ceiling. 13th International Society for Music Information Retrieval Conference (ISMIR 2012)

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • Benetos E, Dixon S (2012). Temporally-constrained convolutive probabilistic latent component analysis for multi-pitch detection. nameOfConference


    QMRO: qmroHref

    Citations: 0
  • Foster P, Klapuri A, Dixon S (2012). A Method for Identifying Repetition Structure in Musical Audio Based on Time Series Prediction. 20th European Signal Processing Conference

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • Benetos E, Dixon S (2012). A Shift-Invariant Latent Variable Model for Automatic Music Transcription. nameOfConference


    QMRO: qmroHref

    Citations: 31
  • Arzt A, Widmer G, Dixon S (2012). ADAPTIVE DISTANCE NORMALIZATION FOR REAL-TIME MUSIC TRACKING. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 4
  • Benetos E, Lagrange M, Dixon S (2012). Characterisation of acoustic scenes using a temporally-constrained shift-invariant model. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • Dixon S, Mauch M, Tidhar D (2012). Estimation of harpsichord inharmonicity and temperament from musical recordings.. nameOfConference


    QMRO: qmroHref

    Citations: 0
  • Song Y, Dixon S, Pearce M (2012). Evaluation of musical features for emotion classification. nameOfConference

    DOI: doi

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    Citations: 0
  • Ganseman J, Scheunders P, Dixon S (2012). IMPROVING PLCA-BASED SCORE-INFORMED SOURCE SEPARATION WITH INVERTIBLE CONSTANT-Q TRANSFORMS. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 2
  • Terrell MJ, Fazekas G, Simpson AJR et al. (2012). Listening level changes music similarity. nameOfConference

    DOI: doi

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    Citations: 0
  • Benetos E, Klapuri A, Dixon S (2012). SCORE-INFORMED TRANSCRIPTION FOR AUTOMATIC PIANO TUTORING. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 8
  • Kirchhoff H, Dixon S, Klapuri A (2012). Shift-variant non-negative matrix deconvolution for music transcription. IEEE International Conference on Acoustics, Speech, and Signal Processing


    QMRO: qmroHref

    Citations: 0
  • Barthet M, Dixon S (2011). Ethnographic observations of musicologists at the british library: Implications for music information retrieval. nameOfConference

    DOI: doi

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    Citations: 11
  • Benetos E, Dixon S (2011). Joint multi-pitch detection using harmonic envelope estimation for polyphonic music transcription. nameOfConference


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    Citations: 0
  • Mearns L, Benetos E, Dixon S (2011). Automatically detecting key modulations in J.S. Bach chorale recordings. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • Benetos E, Dixon S (2011). Multiple-instrument polyphonic music transcription using a convolutive probabilistic model. 8th Sound and Music Computing Conference

    DOI: doi

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    Citations: 0
  • Benetos E, Dixon S, IEEE (2011). A TEMPORALLY-CONSTRAINED CONVOLUTIVE PROBABILISTIC MODEL FOR PITCH DETECTION. nameOfConference


    QMRO: qmroHref

    Citations: 4
  • Stowell D, Dixon S (2011). MIR in school? Lessons from ethnographic observation of secondary school music classes. ISMIR 2011

    DOI: doi

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    Citations: 0
  • Stowell D, Barthet M, Dixon S et al. (2011). Musicology for the masses: Situating new audio technologies for musicology and music education. Digital Engagement 2011

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • Benetos E, Dixon S (2011). Polyphonic music transcription using note onset and offset detection. nameOfConference


    QMRO: qmroHref

    Citations: 0
  • Dixon S, Mauch M, Anglade A (2011). Probabilistic and Logic-Based Modelling of Harmony. nameOfConference


    QMRO: qmroHref

    Citations: 0
  • Macrae R, Neumann J, Anguera X et al. (2011). Real-Time Synchronisation of Multimedia Streams in a Mobile Device. nameOfConference


    QMRO: qmroHref

    Citations: 0
  • Tidhar D, Fazekas G, Mauch M et al. (2011). Tempest - harpsichord temperament estimation in a Semantic Web environment. nameOfConference


    QMRO: qmroHref

    Citations: 0
  • Dixon S, Tidhar D, Benetos E (2011). The temperament police: The truth, the ground truth, and nothing but the truth. 12th International Society for Music Information Retrieval Conference

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • Benetos E, Dixon S (2010). Multiple-F0 estimation of piano sounds exploiting spectral structure and temporal evolution. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • Macrae R, Dixon S (2010). A Guitar Tablature Score Follower. IEEE International Conference on Multimedia & Expo


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    Citations: 0
  • Macrae R, Dixon S (2010). Accurate Real-Time Windowed Time Warping. International Society for Music Information Retrieval conference

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    Citations: 0
  • Mauch M, Dixon S (2010). Approximate Note Transcription for the Improved Identification of Difficult Chords. 11th International Society for Music Information Retrieval Conference

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • Mearns L, Dixon S (2010). Characterisation of Composer Style Using High Level Musical Features. nameOfConference


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    Citations: 0
  • Mearns L, Dixon S (2010). Characterisation of Composer Style using High-Level Musical Features. 11th International Society for Music Information Retrieval

    DOI: doi

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    Citations: 0
  • Dixon S (2010). Computational Modelling of Harmony. International Symposium on Computer Music Modeling and Retrieval

    DOI: doi

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    Citations: 0
  • Tidhar D, Mauch M, Dixon S (2010). High Precision Frequency Estimation for Harpsichord Tuning Classification. Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on


    QMRO: qmroHref

    Citations: 0
  • Mearns L, Dixon S (2010). How Do You Characterise Musical Style?. nameOfConference

    DOI: doi

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    Citations: 0
  • Anglade A, Benetos E, Mauch M et al. (2010). Improving music genre classification using automatically induced harmony rules. nameOfConference


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    Citations: 0
  • Jacobson K, Dixon S, Sandler M (2010). LinkedBrainz: Providing the MusicBrainz Next Generation Schema as Linked Data. nameOfConference

    DOI: doi

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    Citations: 0
  • Benetos E, Dixon S (2010). Multiple-F0 Estimation of Piano Sounds Using a Constant-Q Filterbank. ISCA Tutorial and Research Workshop on Statistical And Perceptual Audition

    DOI: doi

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    Citations: 0
  • Mauch M, Dixon S (2010). Simultaneous Estimation of Chords and Musical Context from Audio. nameOfConference


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    Citations: 0
  • Tidhar D, Fazekas G, Mauch M et al. (2010). Temperament Estimation as an MIR task. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • Chudy M, Dixon S (2010). Towards Music Performer Recognition Using Timbre Features. nameOfConference

    DOI: doi

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    Citations: 0
  • Dixon S, Sandler M, d'Inverno M et al. (2010). Towards a Distributed Research Environment for Music Informatics and Computational Musicology. nameOfConference


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    Citations: 0
  • Anglade A, Dixon S (2009). First-Order Logic Classification Models of Musical Genres Based on Harmony. nameOfConference

    DOI: doi

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    Citations: 0
  • Anglade A, Ramirez R, Dixon S (2009). Genre Classification Using Harmony Rules Induced from Automatic Chord Transcriptions. International Conference on Music Information Retrieval

    DOI: doi

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    Citations: 0
  • Mauch M, Cannam C, Davies M et al. (2009). OMRAS-2 Metadata Project 2009. 10th International Society for Music Information Retrieval Conference (ISMIR2009), Late-breaking session

    DOI: doi

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    Citations: 0
  • Mauch M, Noland K, Dixon S (2009). Using Musical Structure to Enhance Automatic Chord Transcription. International Society for Music Information Retrieval

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • Goebl W, DIXON SE, DePoli G et al. (2008). 'Sense' in Expressive Music Performance: Data Acquisition, Computational Studies and Models. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • Mauch M, Dixon S (2008). A Discrete Mixture Model for Chord Labelling. International Conference on Music Information Retrieval

    DOI: doi

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    Citations: 0
  • Mauch M, Müllensiefen D, Dixon S et al. (2008). Applying Tools from Natural Language Processing Analysis to Harmony: A Bottom Up Approach. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • Arzt A, Widmer G, Dixon S (2008). Automatic Page Turning for Musicians via Real-Time Machine Listening. European Conference on Artificial Intelligence


    QMRO: qmroHref

    Citations: 0
  • Mauch M, Müllensiefen D, Dixon S et al. (2008). Can Statistical Language Models be used for the Analysis of Harmonic Progressions?. International Conference on Music Perception and Cognition

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • Anglade A, Dixon S (2008). Characterisation of Harmony with Inductive Logic Programming. International Conference on Music Information Retrieval

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    QMRO: qmroHref

    Citations: 0
  • Widmer G, DIXON SE, Knees P et al. (2008). From Sound to 'Sense' via Feature Extraction and Machine Learning: Deriving High-Level Descriptors for Characterising Music. nameOfConference

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    Citations: 0
  • Macrae R, Dixon S (2008). From Toy to Tutor: Note-Scroller is a Game to Teach Music. nameOfConference

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    Citations: 0
  • Anglade A, Dixon S (2008). Towards Logic-based Representations of Musical Harmony for Classification, Retrieval and Knowledge Discovery. International Workshop on Machine Learning and Music

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    Citations: 0
  • Mauch M, Dixon S, Harte C et al. (2007). Discovering Chord Idioms Through Beatles and Real Book Songs. nameOfConference

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    Citations: 0
  • Gouyon F, Dixon S, Widmer G (2007). Evaluating low-level features for beat classification and tracking. nameOfConference


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    Citations: 0
  • DIXON SE (2007). Evaluation of the Audio Beat Tracking System BeatRoot. nameOfConference

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    Citations: 0
  • DIXON SE (2007). Extraction of Musical Timing from Audio Recordings. CHARM 4 Symposium on Methods for Analysing Recordings 2007 [Invited]

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    QMRO: qmroHref

    Citations: 0
  • DIXON SE, Bainbridge D, Typke R (2007). Proceedings of the 8th International Conference on Music Information Retrieval (ISMIR07). nameOfConference

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    Citations: 0
  • DIXON SE (2007). Tools for Analysis of Musical Expression. 19th International Congress on Acoustics, 2007 [Invited]

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    Citations: 0
  • Gouyon F, Klapuri A, Dixon S et al. (2006). An experimental comparison of audio tempo induction algorithms. nameOfConference


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    Citations: 26
  • Dixon S, Goebl W, Cambouropoulos E (2006). Perceptual smoothness of tempo in expressively performed music. nameOfConference


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    Citations: 10
  • DIXON SE (2006). Onset Detection Revisited. Proceedings of the 9th International Conference on Digital Audio Effects, Montreal, Canada

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    Citations: 0
  • Flexer A, Gouyon F, DIXON SE et al. (2006). Probabilistic Combination of Features for Music Classification. Proceedings of the 7th International Conference on Music Information Retrieval (ISMIR 2006), Victoria, BC

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • DIXON SE, Widmer G (2005). MATCH: A Music Alignment Tool Chest. Proceedings of the 6th International Conference on Music Information Retrieval (ISMIR 2005), London [Best Poster Award]

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    QMRO: qmroHref

    Citations: 0
  • DIXON SE (2005). An On-Line Time Warping Algorithm for Tracking Musical Performances. Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence (IJCAI-05)

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    Citations: 0
  • Gouyon F, Dixon S (2005). A review of automatic rhythm description systems. nameOfConference


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    Citations: 33
  • DIXON SE (2005). Audio Analysis Applications for Music. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • DIXON SE (2005). Live Tracking of Musical Performanes using On-Line Time Warping. Proceedings of the 8th Internaitonal Conference on Digital Audio Effects (DAFx05), Madrid, Spain

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • DIXON SE, Goebl W, Widmer G (2005). The 'Air Worm': An Interface for Real-Time Manipulation of Expressive Music Performance. Proceedings of the 2005 International Computer Music Conference (ICMC2005), Barcelona, Spain

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • Widmer G, DIXON SE, Flexer A et al. (2005). The Machine Learning and Intelligent Music Processing Group at the Austrian Research Institute for Artificial Intelligence (OFAI), Vienna. Proceedings of the 2005 International Computer Music Conference (ICMC2005), Barcelona, Spain

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • Gouyon F, DIXON SE (2004). Rhythm Classification: A Tempo-Based Approach. Proceedings of the 5th International Conference on Music Information Retrieval (ISMIR'04), Barcelona, Spain

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • DIXON SE, Gouyon F, Widmer G (2004). Towards Characterisation of Music via Rythmic Patterns. Proceedings of the 5th International Conference on Music Information Retrieval (ISMIR'04), Barcelona, Spain

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • Gouyon F, Wack N, DIXON SE (2004). An Open Source Tool for Semi-Automatic Rhythmic Annotation. Proceedings of the 7th International Conference on Digital Audio Effects (DAFx'04), Naples, Italy

    DOI: doi

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    Citations: 0
  • DIXON SE (2004). Analysis of Musical Content in Digital Audio. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • Gouyon F, DIXON SE, Pampalk E et al. (2004). Evaluating Rhythmic Descriptors for Musical Genre Classifcation. Proceedings of the AES 25th International Conference, Audio Engineering Scoiety, London

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • Pampalk E, Dixon S, Widmer G (2004). Exploring music collections by browsing different views. nameOfConference


    QMRO: qmroHref

    Citations: 10
  • DIXON SE (2003). Tempo Induction, Beat Tracking and Rhythm-Based Music Classification. Institute for Operations Research and Management Science (INFORMS) Conference 19-22 October 2003, Atlanta, Georgia, USA [Invited]

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • DIXON SE, Pampalk E, Widmer G (2003). Classification of Dance Music by Periodicity Patterns. Proceedings of the Fourth International Conference on Music Information Retrieval (ISMIR 2003), Baltimore, MD, USA

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • Pampalk E, DIXON SE, Widmer G (2003). Exploring Music Collections by Browsing Different Views. Proceedings of the Fourth International Conference on Music Information Retrieval (ISMIR 2003), Baltimore, MD, USA

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • Widmer G, Dixon S, Goebl W et al. (2003). In search of the Horowitz factor. nameOfConference

    DOI: doi

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    Citations: 22
  • Dixon S (2003). On the analysis of musical expression in audio signals. nameOfConference


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    Citations: 3
  • Pampalk E, Dixon S, Widmer G (2003). On the evaluation of perceptual similarity measures for music. nameOfConference

    DOI: doi

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    Citations: 2
  • DIXON SE (2003). Towards Automatic Analysis of Expressive Performance. Proceedings of the 5th Triennial Conference of the European Society for the Cognitive Sciences of Music (ESCOM5), Hanover, Germany

    DOI: doi

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    Citations: 0
  • DIXON SE, Goebl W (2002). Pinpointing the Beat: Tapping to Expressive Preformances. Proceedings of the 7th International Conference on Music Perception and Cognition (ICMPC7), Sydney, Causal Production, Adelaide

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • DIXON SE, Goebl W, Widmer G (2002). Real-time Tracking and Visualisation of Musical Expression. Proceedings of the 2nd International Conference on Music and Artifical Intelligence (ICMAI'02), Edinburgh, Scotland, Springer, Berlin

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • DIXON SE, Goebl W, Widmer G (2002). The Performance Worm: Real Time Visualisation of Expression Based on Langer's Tempo-Loudness Animation. Proceedings of the 2002 International Computer Music Conference (ICMC'2002), Gothenburg, Sweden, edited by M Nordahl (International Computer Music Association, San Fransisco)

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    Citations: 0
  • Goebl W, DIXON SE (2001). Analysis of Tempo Classes in Performances of Mozart Sonatas. Proceedings of the 7th International Syymposium on Systematic and Comparative Musicology and the 3rd International Conference on Cognitive Musicology, Jyvaeskylae, Finland, 16-19 August 2001

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • Cambouropoulos E, DIXON SE, Goebl W et al. (2001). Human Preferences for Tempo Smoothness. Proceedings of the 7th International Symposium on Systematic and Comparative Musicology and the 3rd International Conference on Cognitive Musicology

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • Dixon S (2001). Automatic extraction of tempo and beat from expressive performances. nameOfConference


    QMRO: qmroHref

    Citations: 84
  • DIXON SE (2001). An Empirical Comparison of Tempo Trackers. 8th Brazilian Symposium on Computer Music, 21st Congress of the Brazilian Computer Society, 2001

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    Citations: 0
  • DIXON SE (2001). An Interactive Beat Tracking and Visualisation System. Proceedings of the International Computer Music Conference (ICMC'2001), La Habana, Cuba, edited by A. Schloss and R. Dannenberg, (International Computer Music Association, San Fransisco), 2001

    DOI: doi

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    Citations: 0
  • DIXON SE, Goebl W, Cambouropoulos E (2001). Beat Extraction from Expressive Musical Performances. 2001 Meeting of the Society for Music Perception and Cognition (SMPC2001), Kingston, Ontario, Canada

    DOI: doi

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    Citations: 0
  • Widmer G, DIXON SE, Goebl W et al. (2001). Empirical Music Performance Research: OeFAI's Position. MOSART Workshop on Current Research Directions in Computer Music, Audiovisual Institute, Pompeu Fabra University, Barcelona, Spain

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    Citations: 0
  • DIXON SE (2001). Learning to Detect Onsets of Acoustic Piano Tones. MOSART Workshop on Current Research Directions in Computer Music, edited by C L Buyoli and R Loureiro, Audiovisual Institute, Pompeu Fabra University, Barcelona, Spain

    DOI: doi

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    Citations: 0
  • Dixon S, Cambouropoulos E (2000). Beat tracking with musical knowledge. nameOfConference

    DOI: doi

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    Citations: 5