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Institute of Applied Data Science

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Dr Emmanouil Benetos

Emmanouil Benetos

Senior Lecturer & Turing Fellow

Department School of Electronic Engineering and Computer Science
 Room 403, Engineering Building
+44 (0)20 7882 6206 

www.eecs.qmul.ac.uk/~emmanouilb/

Research

Computational audio, Machine learning for sequential data, Digital signal processing

Interests

My main research topic is computational audio analysis, also referred to as machine listening or computer audition - applied to music, urban, everyday and nature sounds. Between 2015-2020 I was Royal Academy of Engineering Research Fellow and have been principal- and co-investigator for several audio-related funded research projects, including the EPSRC-funded ISCR project on sound scene analysis, the MIP-Frontiers European Training Network, and the UKRI Centre for Doctoral Training in Artificial Intelligence and Music (AIM).

Publications

Publications of specific relevance to Applied Data Science

2020

Ycart A, Liu L, Benetos E and Pearce M (2020). Investigating the Perceptual Validity of Evaluation Metrics for Automatic Piano Music Transcription. Ubiquity Press  Transactions of The International Society For Music Information Retrieval  vol. 3, (1) 68-81. 10.5334/tismir.57
Ycart A and Benetos E (2020). Learning and Evaluation Methodologies for Polyphonic Music Sequence Prediction with LSTMs. Institute of Electrical and Electronics Engineers  Ieee/Acm Transactions On Audio, Speech and Language Processing  vol. 28, (1) 1328-1341. 10.1109/TASLP.2020.2987130
Chettri B, Kinnunen T and Benetos E (2020). Deep Generative Variational Autoencoding for Replay Spoof Detection in Automatic Speaker Verification. Elsevier  Computer Speech and Language  vol. 63, 10.1016/j.csl.2020.101092
Martinez Ramirez M, Benetos E and Reiss J (2020). Deep Learning for Black-Box Modeling of Audio Effects. Mdpi Ag  Applied Sciences  vol. 10, (2) 10.3390/app10020638
Ycart A, Liu L, Benetos E and Pearce MT (2020). Musical Features for Automatic Music Transcription Evaluation.

2019

Liu L and Benetos E (2019). Automatic Music Accompaniment with a Chroma-based Music Data Representation.
Zhou Q, Feng Z and Benetos E (2019). Adaptive Noise Reduction for Sound Event Detection Using Subband-Weighted NMF. Mdpi Ag  Sensors  vol. 19, (14) 10.3390/s19143206
Covas E and Benetos E (2019). Optimal Neural Network Feature Selection for Spatial-Temporal Forecasting. Aip Publishing  Chaos  vol. 29, (6) 10.1063/1.5095060
BENETOS E, DIXON S, Duan Z and EWERT S (2019). Automatic Music Transcription: An Overview. Institute of Electrical and Electronics Engineers  Ieee Signal Processing Magazine  vol. 36, (1) 20-30. 10.1109/MSP.2018.2869928

2018

Valero-Mas JJ, BENETOS E and Iñesta JM (2018). A Supervised Classification Approach for Note Tracking in Polyphonic Piano Transcription. Taylor & Francis (Routledge)  Journal of New Music Research  vol. 47, (3) 249-263. 10.1080/09298215.2018.1451546
Ali H, Tran SN, Benetos E#27310# and d'Avila Garcez AS (2018). Speaker recognition with hybrid features from a deep belief network. Springer Verlag (Germany)  Neural Computing and Applications  vol. 29, (6) 13-19. 10.1007/s00521-016-2501-7
Mesaros A, Heittola T, Benetos E, Foster P, Lagrange M, Virtanen T and Plumbley M (2018). Detection and Classification of Acoustic Scenes and Events: Outcome of the DCASE 2016 Challenge. Institute of Electrical and Electronics Engineers  Ieee/Acm Transactions On Audio, Speech and Language Processing  vol. 26, (2) 379-393. 10.1109/TASLP.2017.2778423
PANTELI M, BENETOS E and DIXON S (2018). A review of manual and computational approaches for the study of world music corpora. Taylor & Francis (Routledge)  Journal of New Music Research  vol. 47, (2) 176-189. 10.1080/09298215.2017.1418896
BENETOS E, STOWELL D and PLUMBLEY M (2018). Approaches to complex sound scene analysis. Computational Analysis of Sound Scenes and Events , Editors: Virtanen T, PLUMBLEY M and Ellis D. Springer International Publishing  10.1007/978-3-319-63450-0

2017

PANTELI M, BENETOS E and DIXON S (2017). A computational study on outliers in world music. Public Library of Science (Plos)  Plos One  vol. 12, (12) 1-28. 10.1371/journal.pone.0189399
McLeod A, Schramm R, Steedman M and BENETOS E (2017). Automatic Transcription of Polyphonic Vocal Music. Mdpi Ag  Applied Sciences  vol. 7, (12) 10.3390/app7121285
Stowell D, Benetos E and Gill LF (2017). On-Bird Sound Recordings: Automatic Acoustic Recognition of Activities and Contexts. Ieee/Acm Trans. Audio, Speech & Language Processing  vol. 25, (6) 1193-1206. 10.1109/TASLP.2017.2690565
Benetos E, Lafay G, Lagrange M and Plumbley MD (2017). Polyphonic Sound Event Tracking using Linear Dynamical Systems. Ieee  Ieee/Acm Transactions On Audio, Speech and Language Processing  vol. 25, (6) 1266-1277. 10.1109/TASLP.2017.2690576
Abdallah S, Benetos E, Gold N, Hargreaves S, Weyde T and Wolff D (2017). The Digital Music Lab: A Big Data Infrastructure for Digital Musicology. Acm  Acm Journal On Computing and Cultural Heritage  vol. 10, (1) 10.1145/2983918

2016

Lafay G, Lagrange M, Rossignol M, Benetos E and Roebel A (2016). A morphological model for simulating acoustic scenes and its application to sound event detection. Ieee  Ieee/Acm Transactions On Audio, Speech, and Language Processing  vol. 24, (10) 1854-1864. 10.1109/TASLP.2016.2587218
Sigtia S, Benetos E and Dixon S (2016). An End-to-End Neural Network for Polyphonic Piano Music Transcription. Ieee  Ieee/Acm Transactions On Audio, Speech, and Language Processing  vol. 24, (5) 927-939. 10.1109/TASLP.2016.2533858

2015

BENETOS E and Holzapfel A (2015). Automatic transcription of Turkish microtonal music. Acoustical Society of America  Journal of The Acoustical Society of America  vol. 138, (4) 2118-2130. 10.1121/1.4930187
Stowell D, Giannoulis D, Benetos E, Lagrange M and Plumbley MD (2015). Detection and Classification of Acoustic Scenes and Events. Ieee Transactions On Multimedia  vol. 17, (10) 1733-1746. 10.1109/TMM.2015.2428998

2014

Tidhar D, Dixon S, Benetos E and Weyde T (2014). The temperament police. Oxford University Press  Early Music  vol. 42, (4) 579-590. 10.1093/em/cau101
BARTHET M, Benetos E, Cottrell S, Dixon S, Dykes J, Gold N, Mahey M, Plumbley MD, Tidhar D, Weyde T and Wolff D (2014). The DML Research Project: Digital Music Lab - Analysing Big Music Data.

2013

Benetos E, Dixon S, Giannoulis D, Kirchhoff H and Klapuri A (2013). Automatic music transcription: Challenges and future directions. Journal of Intelligent Information Systems  vol. 41, (3) 407-434. 10.1007/s10844-013-0258-3
Serra X, Magas M, Benetos E, Chudy M, Dixon S, Flexer A, Gomez E, Gouyon F, Herrera P, Jorda S, Paytuvi O, Peeters G, Schlüter J, Vinet H and Widmer G (2013). Roadmap for Music Information ReSearch., Editors: Peeters G. The Mires Consortium 
Benetos E and Dixon S (2013). Multiple-instrument polyphonic music transcription using a temporally constrained shift-invariant model. Journal of The Acoustical Society of America  vol. 133, (3) 1727-1741. 10.1121/1.4790351

2012

BENETOS E (2012). Automatic transcription of polyphonic music exploiting temporal evolution., Editors: Dixon S.
Benetos E and Dixon S (2012). A shift-invariant latent variable model for automatic music transcription. Computer Music Journal  vol. 36, (4) 81-94. 10.1162/COMJ_a_00146

2011

Benetos E and Dixon S (2011). Joint multi-pitch detection using harmonic envelope estimation for polyphonic music transcription. Ieee Journal On Selected Topics in Signal Processing  vol. 5, (6) 1111-1123. 10.1109/JSTSP.2011.2162394

2010

Benetos E and Stylianou Y (2010). Auditory spectrum-based pitched instrument onset detection. Ieee Transactions On Audio, Speech and Language Processing  vol. 18, (8) 1968-1977. 10.1109/TASL.2010.2040785
Benetos E and Kotropoulos C (2010). Non-negative tensor factorization applied to music genre classification. Ieee Transactions On Audio, Speech and Language Processing  vol. 18, (8) 1955-1967. 10.1109/TASL.2010.2040784
Anglade A, Benetos E, Mauch M and Dixon S (2010). Improving music genre classification using automatically induced harmony rules. Journal of New Music Research  vol. 39, (4) 349-361. 10.1080/09298215.2010.525654

2008

Kotti M, Benetos E and Kotropoulos C (2008). Computationally efficient and robust BIC-based speaker segmentation. Ieee Transactions On Audio, Speech and Language Processing  vol. 16, (5) 920-933. 10.1109/TASL.2008.925152
BENETOS E, Siatras S, Kotropoulos C, Nikolaidis N and Pitas I (2008). Movie analysis with emphasis to dialogue and action scene detection. Multimodal Processing and Interaction , Editors: Maragos PA, Potamianos A and Gros P. Springer  10.1007/978-0-387-76316-3_7

2007

Kotti M, Benetos E, Kotropoulos C and Pitas I (2007). A neural network approach to audio-assisted movie dialogue detection. Neurocomputing  vol. 71, 157-166. 10.1016/j.neucom.2007.08.006

Grants

Grants of specific relevance to Applied Data Science
UKRI Centre for Doctoral Training in Artificial Intelligence and Music
Sandler MB, Dixon SE, Liu L, Banar B, Vahidi C, Comunit¿ M, Sarmento PP, Sarkar S, Foster D, Shatri E, Marinelli L, Hayes BJ, Ford CJ, Steinmetz CJ, Mcpherson AP, Fazekas G, Benetos E, Bryan-Kinns NJ, Chew E and Barthet M
£6,240,207 Engineering and Physical Sciences Research Council (30-06-2019 - 31-12-2027)
Summary
New Frontiers in Music Information Processing
Brazier C, Sandler MB, Dixon SE, Benetos E, Vianna Lordelo CP, Delgado Luezas A, Schulze-Forster K, Cífka O, Carvalho LFVD, Agrawal R, Lordelo CPV, Ibrahim K, Yesiler F, Tovstogan P, Demirel E, Luezas AD, Subramanian V, Nistal J, Cantisani G and Ramires AFS
EUR3,926,676 European Commission (01-04-2018 - 31-03-2022)
Summary
Data-driven quality prediction for digitally restored audio archives
Benetos E
EUR166,544 Science Foundation Ireland (01-09-2018 - 31-08-2021)
Development of next generation music recognition algorithm for content monitoring
Dixon SE and Benetos E
£148,038 Innovate UK (01-11-2019 - 31-03-2021)


A Machine Learning Framework for Audio Analysis and Retrieval
Benetos E
£505,588 Royal Academy of Engineering (30-03-2015 - 29-03-2020)
Summary
Fusing Semantic and Audio Technologies for Intelligent Music Production and Consumption
Kudumakis P, Barthet MHE, Bolfek-Radovani J, Benetos E, McPherson A, Sandler MB, Roure DCD, Reiss JD, Wiggins GA and Benford SD
£5,199,943 Engineering and Physical Sciences Research Council (15-06-2014 - 31-12-2019)
Summary
Integrating sound and context recognition for acoustic scene analysis
Benetos E and Bear HL
£97,838 Engineering and Physical Sciences Research Council (02-04-2018 - 01-06-2019)
Summary
Automatic transcription of polyphonic music recordings
Benetos E
£23,759 Royal Academy of Engineering (15-08-2016 - 14-08-2017)
Polyfoni-X-Score
Dixon SE and Benetos E
£77,445 DoReMIR Music Research AB (01-09-2015 - 15-11-2016)
An Integrated Audio-Symbolic Model of Music Similarity
Weyde TE, Marsden AA, Wolff D, Benetos E and Gold NE
£61,570 Arts and Humanities Research Council (31-08-2014 - 31-10-2015)
Summary
Automatic segmentation of audio recordings to speech and music (MuSpeak)
Benetos E
£5,941 City University London (01-04-2015 - 31-05-2015)
Summary
Digital Music Lab - Analysing Big Music Data
Barthet MHE, Weyde TE, Cottrell S, Gold NE, Benetos E, Plumbley MD, Dixon S, Mahey M and Dykes JA
£451,750 Arts and Humanities Research Council (02-01-2014 - 31-03-2015)
Summary