Dr Emmanouil Benetos
Senior Lecturer
Email: emmanouil.benetos@qmul.ac.ukTelephone: +44 20 7882 6206Room Number: Engineering, Eng 400Website: http://www.eecs.qmul.ac.uk/~emmanouilbOffice Hours: Wednesday 16:00-17:00
Teaching
Deep Learning for Audio and Music (Postgraduate)
This module, for those who have some prior knowledge of machine learning, focusses on deep learning methods and how they can be used to address many tasks in audio and music. The theory of modern deep neural networks (DNNs) is covered, including training of common DNN types as well as modifying DNNs for new purposes. Various tasks in analysis/generation of audio and music are studied directly to inspire the content, using raw audio and/or symbolic representations. Background in machine learning is essential, and some background in digital signal processing is highly recommended. Music knowledge would be desirable but is not a requirement.
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:
- Audio signal processing
- Machine learning for audio and sequential data
- Music information retrieval
- Computational sound scene analysis
- Computational musicology / ethnomusicology
Research Funding
For a list of funded research projects see: http://www.eecs.qmul.ac.uk/~emmanouilb/research.html
Publications
For
a complete list of publications see: http://www.eecs.qmul.ac.uk/~emmanouilb/publications.html
Publications
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Ycart A, Benetos E (2020). Learning and Evaluation Methodologies for Polyphonic Music Sequence Prediction with LSTMs. nameOfConference
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Chettri B, Kinnunen T, Benetos E (2020). Subband modeling for spoofing detection in automatic speaker verification. Odyssey 2020: The Speaker and Language Recognition Workshop
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Chettri B, Kinnunen T, Benetos E (2020). Deep Generative Variational Autoencoding for Replay Spoof Detection in Automatic Speaker Verification. nameOfConference
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Ycart A, Liu L, Benetos E et al. (2020). Investigating the Perceptual Validity of Evaluation Metrics for Automatic Piano Music Transcription. nameOfConference
DOI: 10.5334/tismir.57
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SUBRAMANIAN V, Pankajakshan A, Benetos E et al. (2020). A Study on the Transferability of Adversarial Attacks in Sound Event Classification. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020)
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Wei W, Zhu H, Benetos E et al. (2020). A-CRNN: a domain adaptation model for sound event detection. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020)
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Martinez Ramirez M, Benetos E, Reiss J (2020). Modeling plate and spring reverberation using a DSP-informed deep neural network. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020)
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Wang C, Lostanlen V, Benetos E et al. (2020). Playing Technique Recognition by Joint Time–Frequency Scattering. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020)
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Martinez Ramirez M, Benetos E, Reiss J (2020). Deep Learning for Black-Box Modeling of Audio Effects. nameOfConference
DOI: 10.3390/app10020638
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Liu L, Benetos E (2019). Automatic Music Accompaniment with a Chroma-based Music Data Representation. DMRN+14: Digital Music Research Network One-day Wrokshop
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Ycart A, Stoller D, Benetos E (2019). A Comparative Study of Neural Models for Polyphonic Music Sequence Transduction. 20th conference of the International Society for Music Information Retrieval (ISMIR)
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Wang C, Benetos E, Lostanlen V et al. (2019). Adaptive Time–Frequency Scattering for Periodic Modulation Recognition in Music Signals. International Society for Music Information Retrieval Conference
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Holzapfel A, Benetos E (2019). Automatic music transcription and ethnomusicology: a user study. 20th conference of the International Society for Music Information Retrieval (ISMIR)
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Ycart A, McLeod A, Benetos E et al. (2019). Blending acoustic and language model predictions for automatic music transcription. 20th conference of the International Society for Music Information Retrieval (ISMIR)
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Wang C, Benetos E, Chew E (2019). CBF-periDB: A Chinese Bamboo Flute Dataset for Periodic Modulation Analysis. International Society for Music Information Retrieval Conference Late-Breaking Demo Session
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Singh S, Pankajakshan A, Benetos E (2019). Audio tagging using a linear noise modelling layer. 4th Workshop on Detection and Classification of Acoustic Scenes and Events (DCASE 2019)
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Pankajakshan A, Bear H, Benetos E (2019). Onsets, activity, and events: a multi-task approach for polyphonic sound event modelling. 4th Workshop on Detection and Classification of Acoustic Scenes and Events (DCASE 2019)
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SUBRAMANIAN V, Benetos E, Sandler M (2019). Robustness of Adversarial Attacks in Sound Event Classification. 4th Workshop on Detection and Classification of Acoustic Scenes and Events (DCASE 2019)
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Bear H, Heittola T, Mesaros A et al. (2019). City classification from multiple real-world sound scenes. IEEE Workshop on Applications of Signal Processing to Audio and Acoustics
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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
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Pankajakshan A, Bear H, Benetos E (2019). Polyphonic sound event and sound activity detection: a multi-task approach. IEEE Workshop on Applications of Signal Processing to Audio and Acoustics
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Chettri B, Stoller D, Morfi V et al. (2019). Ensemble Models for Spoofing Detection in Automatic Speaker Verification. 20th Annual Conference of the International Speech Communication Association (INTERSPEECH 2019)
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Bear H, Nolasco I, Benetos E (2019). Towards joint sound scene and polyphonic sound event recognition. 20th Annual Conference of the International Speech Communication Association (INTERSPEECH 2019)
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Zhou Q, Feng Z, Benetos E (2019). Adaptive Noise Reduction for Sound Event Detection Using Subband-Weighted NMF. nameOfConference
DOI: 10.3390/s19143206
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Covas E, Benetos E (2019). Optimal Neural Network Feature Selection for Spatial-Temporal Forecasting. nameOfConference
DOI: 10.1063/1.5095060
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Ragano A, BENETOS E, Hines A (2019). Adapting the Quality of Experience Framework for Audio Archive Evaluation. 11th International Conference on Quality of Multimedia Experience
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WANG C, BENETOS E, MENG X et al. (2019). HMM-based Glissando Detection for Recordings of Chinese Bamboo Flute. Sound and Music Computing Conference
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Nolasco I, Terenzi A, Cecchi S et al. (2019). Audio-based identification of beehive states. IEEE International Conference on Acoustics, Speech, and Signal Processing
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Lins F, Johann M, BENETOS E et al. (2019). Automatic Transcription of Diatonic Harmonica Recordings. IEEE International Conference on Acoustics, Speech, and Signal Processing
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Phaye SSR, BENETOS E, Wang Y (2019). SubSpectralNet - Using sub-spectrogram based convolutional neural networks for acoustic scene classification. IEEE International Conference on Acoustics, Speech, and Signal Processing
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Ramírez MAM, Benetos E, Reiss JD (2019). A general-purpose deep learning approach to model time-varying audio effects.. nameOfConference
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BENETOS E, DIXON S, Duan Z et al. (2019). Automatic Music Transcription: An Overview. nameOfConference
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CHETTRI B, MISHRA S, STURM B et al. (2018). Analysing the predictions of a CNN-based replay spoofing detection system. 2018 IEEE Workshop on Spoken Language Technology
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YCART A, BENETOS E (2018). A-MAPS: Augmented MAPS Dataset with Rhythm and Key Annotations. 19th International Society for Music Information Retrieval Conference Late-Breaking Demos Session
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WANG C, BENETOS E, MENG X et al. (2018). Towards HMM-based glissando detection for recordings of Chinese bamboo flute. International Society for Music Information Retrieval Conference Late-Breaking Demos Session
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CHETTRI B, STURM BLT, BENETOS E (2018). Analysing replay spoofing countermeasure performance under varied conditions. IEEE International Workshop on Machine Learning for 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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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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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
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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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Chettri B, Mishra S, Sturm BL et al. (2018). A Study On Convolutional Neural Network Based End-To-End Replay Anti-Spoofing.. 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
DOI: 10.3390/app7121285
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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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YCART A, BENETOS E (2017). Neural Music Language Models: investigating the training process. International Conference of Students of Systematic Musicology
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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
DOI: 10.1145/2983918
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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
DOI: 10.1121/1.4930187
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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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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
DOI: 10.1093/em/cau101
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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
DOI: 10.1121/1.4790351
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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
DOI: 10.1162/COMJ_a_00146
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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
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