Dr Emmanouil Benetos
RAEng Research Fellow
Email: emmanouil.benetos@qmul.ac.ukTelephone: +44 20 7882 3066Room Number: Engineering, Eng 109Website: http://www.eecs.qmul.ac.uk/~emmanouilbOffice Hours: Tuesday 10:00-11:00
Teaching
Signals and Information (Undergraduate)
This first year module introduces the fundamentals of signals, Fourier Series, information theory and signal statistics. Topics covered include: signal fundamentals such as discrete versus continuous time signals; signal average, energy and power; orthogonality; Fourier Series. The module also provides an introduction to information theory, including the information measure, entropy and the binary symmetric channel. Basic ideas in statistics will also be introduced. It will be taught by a combination of lectures, tutorials and labs.
Research
Research Interests:
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Music signal processing and music information retrieval (automatic music transcription, multi-pitch detection, instrument identification, onset detection)
- Computational sound scene analysis (sound event detection, sound scene recognition)
- Machine learning for audio processing (probabilistic latent variable models, spectrogram factorization methods, machine/deep learning for sequential data)
- Computational musicology and music language modelling (symbolic music processing, computational analysis of music archives, computational ethnomusicology, integrating audio/symbolic models)
Publications
For a complete list of publications click here.Publications
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YCART A, BENETOS E (2018). Polyphonic Music Sequence Transduction with Meter-Constrained LSTM Networks. IEEE International Conference on Acoustics, Speech and Signal Processing
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Valero-Mas JJ, BENETOS E, Iñesta JM (2018). A Supervised Classification Approach for Note Tracking in Polyphonic Piano Transcription. nameOfConference
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PANTELI M, BENETOS E, DIXON S (2018). A review of manual and computational approaches for the study of world music corpora. nameOfConference
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Ali H, Tran SN, Benetos E et al. (2018). Speaker recognition with hybrid features from a deep belief network. nameOfConference
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Mesaros A, Heittola T, Benetos E et al. (2018). Detection and Classification of Acoustic Scenes and Events: Outcome of the DCASE 2016 Challenge. nameOfConference
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BENETOS E, STOWELL D, PLUMBLEY M (2018). Approaches to complex sound scene analysis. nameOfConference
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PANTELI M, BENETOS E, DIXON S (2017). A computational study on outliers in world music. nameOfConference
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McLeod A, Schramm R, Steedman M et al. (2017). Automatic Transcription of Polyphonic Vocal Music. nameOfConference
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Ycart A, Benetos E (2017). A study on LSTM networks for polyphonic music sequence modelling. 18th International Society for Music Information Retrieval Conference (ISMIR 2017)
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Schramm R, McLeod A, Steedman M et al. (2017). Multi-pitch detection and voice assignment for a cappella recordings of multiple singers. 18th International Society for Music Information Retrieval Conference (ISMIR 2017)
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Lafay G, Benetos E, Lagrange M (2017). Sound Event Detection in Synthetic Audio: Analysis of the DCASE 2016 Task Results. IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA 2017)
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Valero-Mas JJ, Benetos E, Iñesta JM (2017). Assessing the Relevance of Onset Information for Note Tracking in Piano Music Transcription. 2017 AES International Conference on Semantic Audio
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Schramm R, Benetos E (2017). Automatic Transcription of a Cappella Recordings from Multiple Singers. 2017 AES International Conference on Semantic Audio
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Benetos E (2017). Polyphonic note and instrument tracking using linear dynamical systems. 2017 AES International Conference on Semantic Audio
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Stowell D, Benetos E, Gill LF (2017). On-bird Sound Recordings: Automatic Acoustic Recognition of Activities and Contexts. nameOfConference
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Benetos E, Lafay G, Lagrange M et al. (2017). Polyphonic Sound Event Tracking using Linear Dynamical Systems. nameOfConference
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Russell AJ, Benetos E, d'Avila Garcez AS (2017). On the Memory Properties of Recurrent Neural Models. International Joint Conference on Neural Networks (IJCNN 2017)
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Abdallah S, Benetos E, Gold N et al. (2017). The Digital Music Lab: A Big Data Infrastructure for Digital Musicology. nameOfConference
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BENETOS E, Schramm, R (2016). Automatic Transcription of Vocal Quartets. DMRN+11: Digital Music Research Network One-day Workshop 2016
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YCART A, Benetos E (2016). Towards a Music Language Model for Audio Analysis. DMRN+11: Digital Music Research Network One-day Workshop 2016
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Lafay G, Lagrange M, Rossignol M et al. (2016). A morphological model for simulating acoustic scenes and its application to sound event detection. nameOfConference
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Valero-Mas JJ, Benetos E, Iñesta JM (2016). Classification-based Note Tracking for Automatic Music Transcription. 9th International Workshop on Machine Learning and Music
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Abdallah S, Benetos E, Gold N et al. (2016). Digital Music Lab: A Framework for Analysing Big Music Data. 24th European Signal Processing Conference
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Cheng T, Mauch M, Benetos E et al. (2016). An attack/decay model for piano transcription. 17th International Society for Music Information Retrieval Conference
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Panteli M, Benetos E, Dixon S (2016). Learning a feature space for similarity in world music. 17th International Society for Music Information Retrieval Conference
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Holzapfel A, Benetos E (2016). The Sousta corpus: Beat-informed automatic transcription of traditional dance tunes. 17th International Society for Music Information Retrieval Conference
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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)
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Sigtia S, Benetos E, Dixon S (2016). An End-to-End Neural Network for Polyphonic Piano Music Transcription. nameOfConference
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Benetos E, Lafay G, Lagrange M et al. (2016). Detection of overlapping acoustic events using a temporally-constrained probabilistic model. IEEE International Conference on Acoustics, Speech, and Signal Processing
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Benetos E, Weyde T (2015). An efficient temporally-constrained probabilistic model for multiple-instrument music transcription. 16th International Society for Music Information Retrieval Conference (ISMIR)
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BENETOS E, Holzapfel A (2015). Automatic transcription of Turkish microtonal music. nameOfConference
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Stowell D, Giannoulis D, Benetos E et al. (2015). Detection and Classification of Acoustic Scenes and Events. nameOfConference
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Rossignol M, Lagrange M, Lafay G et al. (2015). Alternate level clustering for drum transcription. 23rd European Signal Processing Conference (EUSIPCO)
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Abdallah S, Alencar-Brayner A, BENETOS E et al. (2015). Automatic transcription and pitch analysis of the British Library World & Traditional Music Collection. 5th International Workshop on Folk Music Analysis
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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)
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Lagrange M, Lafay G, Rossignol M et al. (2015). An evaluation framework for event detection using a morphological model of acoustic scenes. nameOfConference
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Benetos E, Badeau R, Weyde T et al. (2014). Template Adaptation for Improving Automatic Music Transcription. 15th International Society for Music Information Retrieval Conference (ISMIR)
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Tidhar D, Dixon S, Benetos E et al. (2014). The temperament police. nameOfConference
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Weyde T, Cottrell S, Dykes J et al. (2014). Big Data for Musicology. 1st International Digital Libraries for Musicology workshop
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Wolff D, Tidhar D, Benetos E et al. (2014). Incremental dataset definition for large scale musicological research. 1st International Digital Libraries for Musicology workshop
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Tran S, Benetos E, d Avila Garcez A (2014). Learning motion-difference features using Gaussian restricted Boltzmann machines for efficient human action recognition. 2014 International Joint Conference on Neural Networks (IJCNN)
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Benetos E, Holzapfel A (2014). Incorporating pitch class profiles for improving automatic transcription of Turkish makam music. 4th International Workshop on Folk Music Analysis
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Giannoulis D, Benetos E, Klapuri A et al. (2014). Improving instrument recognition in polyphonic music through system integration. IEEE International Conference on Acoustics, Speech, and Signal Processing
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Benetos E, Jansson A, Weyde T (2014). Improving automatic music transcription through key detection. AES 53rd International Conference on Semantic Audio
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Benetos E, Ewert S, Weyde T (2014). Automatic Transcription Of Pitched And Unpitched Sounds From Polyphonic Music. nameOfConference
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Sigtia S, Benetos E, Cherla S et al. (2014). RNN-based Music Language Models for Improving Automatic Music Transcription. nameOfConference
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Benetos E, Dixon S, Giannoulis D et al. (2013). Automatic music transcription: Challenges and future directions. nameOfConference
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Benetos E, Holzapfel A (2013). Automatic transcription of Turkish makam music. 14th International Society for Music Information Retrieval Conference
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Benetos E, Weyde T (2013). Explicit duration hidden Markov models for multiple-instrument polyphonic music transcription. 14th International Society for Music Information Retrieval Conference
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de Valk R, Weyde T, Benetos E (2013). A machine learning approach to voice separation in lute tablature. 14th International Society for Music Information Retrieval Conference
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Giannoulis D, Benetos E, Stowell D et al. (2013). Detection and classification of acoustic scenes and events: an IEEE AASP challenge. IEEE Workshop on Applications of Signal Processing to Audio and Acoustics
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Benetos E, Cherla S, Weyde T (2013). An efficient shift-invariant model for polyphonic music transcription. 6th International Workshop on Machine Learning and Music
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Benetos E, Dixon S (2013). Multiple-instrument polyphonic music transcription using a temporally constrained shift-invariant model. nameOfConference
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BENETOS E (2012). Automatic transcription of polyphonic music exploiting temporal evolution. nameOfConference
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Benetos E, Dixon S (2012). Temporally-constrained convolutive probabilistic latent component analysis for multi-pitch detection. nameOfConference
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Benetos E, Dixon S (2012). A shift-invariant latent variable model for automatic music transcription. nameOfConference
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Benetos E, Dixon S (2011). A temporally-constrained convolutive probabilistic model for pitch detection. 2011 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)
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Benetos E, Dixon S (2011). Joint multi-pitch detection using harmonic envelope estimation for polyphonic music transcription. nameOfConference
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Benetos E, Dixon S (2011). Polyphonic music transcription using note onset and offset detection. nameOfConference
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Benetos E, Stylianou Y (2010). Auditory spectrum-based pitched instrument onset detection. nameOfConference
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Anglade A, Benetos E, Mauch M et al. (2010). Improving music genre classification using automatically induced harmony rules. nameOfConference
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Benetos E, Kotropoulos C (2010). Non-negative tensor factorization applied to music genre classification. nameOfConference
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Kotti M, Benetos E, Kotropoulos C (2008). Computationally efficient and robust BIC-based speaker segmentation. nameOfConference
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BENETOS E, Siatras S, Kotropoulos C et al. (2008). Movie analysis with emphasis to dialogue and action scene detection. nameOfConference
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Kotti M, Benetos E, Kotropoulos C et al. (2007). A neural network approach to audio-assisted movie dialogue detection.. nameOfConference
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Moschou V, Kotti M, Benetos E et al. (2007). Systematic comparison of BIC-based speaker segmentation systems. nameOfConference
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Benetos E, Kotti M, Kotropoulos C (2006). Applying Supervised Classifiers Based on Non-negative Matrix Factorization to Musical Instrument Classification.. nameOfConference
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Kotti M, Martins LPM, Benetos E et al. (2006). Automatic Speaker Segmentation using Multiple Features and Distance Measures: A Comparison of Three Approaches.. nameOfConference
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Kotti M, Benetos E, Kotropoulos C (2006). Automatic speaker change detection with the Bayesian information criterion using MPEG-7 features and a fusion scheme.. nameOfConference
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Benetos E, Kotti M, Kotropoulos C (2006). Musical instrument classification using non-negative matrix factorization algorithms.. nameOfConference
