Dr Emmanouil Benetos
Reader in Machine Listening & Director of Research
Email: emmanouil.benetos@qmul.ac.ukTelephone: +44 20 7882 6206Room Number: Engineering, Eng 403Website: http://www.eecs.qmul.ac.uk/~emmanouilbTwitter: @emmanouilbOffice Hours: Wednesdays 16:00-17:00
Profile
Emmanouil Benetos is Reader in Machine Listening at the School of Electronic Engineering and Computer Science of Queen Mary University of London, Royal Academy of Engineering / Leverhulme Trust Research Fellow in resource-efficient machine listening, and Turing Fellow at The Alan Turing Institute. Within Queen Mary, he is member of the Centre for Digital Music, Centre for Intelligent Sensing, and Digital Environment Research Institute, and co-leads the School's Machine Listening Lab.
His 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 he was Royal Academy of Engineering Research Fellow and has been principal- and co-investigator for several audio-related funded research projects on topics related to sound scene analysis, music information retrieval, and digital musicology. He is also Deputy Director for the UKRI Centre for Doctoral Training in Artificial Intelligence and Music (AIM).
On academic service, he is currently secretary for the International Society for Music Information Retrieval (ISMIR), member & chair of the education subcommittee of the IEEE Technical Committee on Audio and Acoustic Signal Processing (AASP TC), member of the EURASIP Acoustic, Speech and Music Signal Processing Technical Area Committee (ASMSP TAC), associate editor for the IEEE/ACM Transactions on Audio, Speech, and Language Processing, and associate editor for the EURASIP Journal on Audio, Speech, and Music Processing. On university service, he is currently Director of Research for the School of EECS of Queen Mary.
Teaching
Data Mining (Postgraduate)
Data that has relevance for decision-making is accumulating at an incredible rate due to a host of technological advances. Electronic data capture has become inexpensive and ubiquitous as a by-product of innovations such as the Internet, e-commerce, electronic banking, point-of-sale devices, bar-code readers, and electronic patient records. Data mining is a rapidly growing field that is concerned with developing techniques to assist decision-makers to make intelligent use of these repositories. The field of data mining has evolved from the disciplines of statistics and artificial intelligence. This module will combine practical exploration of data mining techniques with a exploration of algorithms, including their limitations. Students taking this module should have an elementary understanding of probability concepts and some experience of programming.
Electronic Engineering Mathematics 2 (Undergraduate)
Module will cover topics in engineering mathematics relevant to Electronics and Electrical Engineering programs: Vector Calculus (field theory, surface and volume integration, field operators), linear algebra (matrices and matrix operations, applications to systems of equations, reduced Row Echelon Form, determinants, Cramer's rule, eigenvalues and eigenvectors), differential equations (solving first and second order DEs).
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 data science
- 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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Papaioannou C, Benetos E, Potamianos A (2023). From West to East: Who can understand the music of the others better?. 24th International Society for Music Information Retrieval Conference (ISMIR)
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Zhuo L, Yuan R, Pan J et al. (2023). LyricWhiz: Robust Multilingual Lyrics Transcription by Whispering to ChatGPT. 24th International Society for Music Information Retrieval Conference (ISMIR)
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Ma Y, Yuan R, Li Y et al. (2023). On the effectiveness of speech self-supervised learning for music. 24th International Society for Music Information Retrieval Conference (ISMIR)
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Sarkar S, Thorpe L, Benetos E et al. (2023). Leveraging synthetic data for improving chamber ensemble separation. IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)
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Vahidi C, Singh S, Benetos E et al. (2023). Perceptual musical similarity metric learning with graph neural networks. IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)
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Edwards D, Dixon S, Benetos E (2023). PiJAMA: Piano Jazz with Automatic MIDI Annotations. nameOfConference
DOI: 10.5334/tismir.162
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Liang J, Liu X, Liu H et al. (2023). Adapting Language-Audio Models as Few-Shot Audio Learners. 24th Annual Conference of the International Speech Communication Association (INTERSPEECH)
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Ragano A, Benetos E, Chinen M et al. (2023). A Comparison Of Deep Learning MOS Predictors For Speech Synthesis Quality. Irish Signals & Systems Conference 2023
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Ragano A, Benetos E, Hines A (2023). Audio Quality Assessment of Vinyl Music Collections Using Self-Supervised Learning. 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Li Y, Cao W, Xie W et al. (publicationYear). Few-shot Class-incremental Audio Classification Using Dynamically Expanded Classifier with Self-attention Modified Prototypes. nameOfConference
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Li Y, Yuan R, Zhang G et al. (2022). Large-Scale Pretrained Model for Self-Supervised Music Audio Representation Learning. DMRN+17: Digital Music Research Network One-day Workshop 2022
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Liu L, KONG Q, Morfi G-V et al. (2022). Performance MIDI-to-score conversion by neural beat tracking. 23rd International Society for Music Information Retrieval Conference (ISMIR)
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Sarkar S, Benetos E, Sandler M (2022). EnsembleSet: A new high-quality synthesised dataset for chamber ensemble separation. 23rd International Society for Music Information Retrieval Conference (ISMIR)
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Manco I, Benetos E, QUINTON E et al. (2022). Contrastive audio-language learning for music. 23rd International Society for Music Information Retrieval Conference (ISMIR)
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Mai KT, Davies T, Griffi LD et al. (2022). Explaining the decisions of anomalous sound detectors. 7th Workshop on Detection and Classification of Acoustic Scenes and Events (DCASE)
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Liang J, Phan QH, Benetos E (2022). Leveraging label hierarchies for few-shot everyday sound recognition. 7th Workshop on Detection and Classification of Acoustic Scenes and Events (DCASE)
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Singh S, Benetos E, Phan QH (2022). Hypernetworks for sound event detection: a proof-of-concept. 30th European Signal Processing Conference (EUSIPCO 2022)
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Wang C, Benetos E, Versace E et al. (2022). Joint Scattering for Automatic Chick Call Recognition. 30th European Signal Processing Conference
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Daikoku H, Ding S, Benetos E et al. (2022). Agreement among human and automated estimates of similarity in a global music sample. 10th International Workshop on Folk Music Analysis (FMA 2022)
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Huang J, Benetos E, Ewert S (2022). Improving lyrics Alignment through Joint Pitch Detection. 2022 IEEE International Conference on Acoustics, Speech and Signal Processing
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Manco I, Benetos E, Quinton E et al. (2022). Learning music audio representations via weak language supervision. 2022 IEEE International Conference on Acoustics, Speech and Signal Processing
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Ou L, Guo Z, Benetos E et al. (2022). Exploring transformer's potential on automatic piano transcription. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
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Ragano A, Benetos E, Hines A (2022). Automatic Quality Assessment of Digitized and Restored Sound Archives. nameOfConference
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Wang C, Benetos E, Lostanlen V et al. (2022). Adaptive Scattering Transforms for Playing Technique Recognition. nameOfConference
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Benetos E, Ragano A, Sgroi D et al. (2022). Measuring national mood with music: using machine learning to construct a measure of national valence from audio data. nameOfConference
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Terenzi A, Ortolani N, De Almeida Nolasco I et al. (2022). Comparison of feature extraction methods for sound-based classification of honey bee activity. nameOfConference
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Bodo RPP, Benetos E, Queiroz M (2021). A framework for music similarity and cover song identification. 15th International Symposium on Computer Music Multidisciplinary Research (CMMR)
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Liu L, Morfi V, Benetos E (2021). ACPAS: A Dataset of Aligned Classical Piano Audio and Scores for Audio-to-Score Transcription. Late-Breaking Demo Session of the 22nd Int. Society for Music Information Retrieval Conference
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Ozaki Y, McBride J, Benetos E et al. (2021). Agreement among human and annotated transcriptions of global songs. 22nd International Society for Music Information Retrieval Conference (ISMIR)
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Vianna Lordelo C, Benetos E, Dixon S et al. (2021). Pitch-informed instrument assignment using a deep convolutional network with multiple kernel shapes. 22nd International Society for Music Information Retrieval Conference (ISMIR)
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O'Hanlon K, Benetos E, Dixon S (2021). Detecting cover songs with pitch class key-invariant networks. IEEE International Workshop on Machine Learning for Signal Processing (MLSP)
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Holzapfel A, Benetos E, Killick A et al. (2021). Humanities and Engineering Perspectives on Music Transcription. nameOfConference
DOI: 10.1093/llc/fqab074
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Wang C, Benetos E, Wang S et al. (2021). Joint Scattering for Automatic Chick Call Recognition. nameOfConference
DOI: doi
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Bear H, Morfi V, Benetos E (2021). An evaluation of data augmentation methods for sound scene geotagging. 22nd Annual Conference of the International Speech Communication Association (INTERSPEECH)
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Sarkar S, Benetos E, Sandler M (2021). Vocal Harmony Separation using Time-domain Neural Networks. 22nd Annual Conference of the International Speech Communication Association (INTERSPEECH)
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Zhao Y, Wang C, Fazekas G et al. (2021). Violinist identification based on vibrato features. 29th European Signal Processing Conference (EUSIPCO)
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Manco I, Benetos E, Quinton E et al. (2021). MusCaps: generating captions for music audio. International Joint Conference on Neural Networks (IJCNN)
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Cheuk KW, Luo Y-J, Benetos E et al. (2021). Revisiting the onsets and frames model with additive attention. International Joint Conference on Neural Networks (IJCNN)
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Liu L, Benetos E (2021). From Audio to Music Notation. nameOfConference
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Ragano A, Benetos E, Hines A (2021). More for Less: Non-Intrusive Speech Quality Assessment with Limited Annotations. 13th International Conference on Quality of Multimedia Experience (QoMEX)
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Liu L, Morfi G-V, Benetos E (2021). Joint multi-pitch detection and score transcription for polyphonic piano music. IEEE International Conference on Acoustics, Speech and Signal Processing
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Singh S, Bear H, Benetos E (2021). Prototypical Networks for Domain Adaptation in Acoustic Scene Classification. IEEE International Conference on Acoustics, Speech and Signal Processing
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Subramanian V, Gururani S, Benetos E et al. (2021). Anomalous behaviour in loss-gradient based interpretability methods. RobustML workshop paper at ICLR 2021
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Cheuk KW, Benetos E, Luo Y et al. (2021). The effect of spectrogram reconstructions on automatic music transcription: an alternative approach to improve transcription accuracy. 25th International Conference on Pattern Recognition (ICPR2020)
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Vianna Lordelo C, Benetos E, Dixon S et al. (2021). Adversarial Unsupervised Domain Adaptation for Harmonic-Percussive Source Separation. nameOfConference
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Liu L, Morfi G-V, Benetos E (2020). Joint Piano-roll and Score Transcription for Polyphonic Piano Music. DMRN+15: Digital Music Research Network One-day Workshop
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Chettri B, Benetos E, Sturm BLT (2020). Dataset artefacts in anti-spoofing systems: a case study on the ASVspoof 2017 benchmark. 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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Ragano A, Benetos E, Hines A (2020). Development of a Speech Quality Database Under Uncontrolled Conditions. 21st Annual Conference of the International Speech Communication Association (INTERSPEECH 2020)
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Pankajakshan A, Bear H, Subramanian V et al. (2020). Memory Controlled Sequential Self Attention for Sound Recognition. 21st Annual Conference of the International Speech Communication Association (INTERSPEECH 2020)
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MISHRA S, Benetos E, Sturm B et al. (2020). Reliable Local Explanations for Machine Listening. International Joint Conference on Neural Networks (IJCNN)
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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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Ragano A, Benetos E, Hines A (2020). Audio impairment recognition using a correlation-based feature representation. 12th International Conference on Quality of Multimedia Experience (QoMEX)
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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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Ycart A, Liu L, Benetos E et al. (2020). Musical Features for Automatic Music Transcription Evaluation. nameOfConference
DOI: doi
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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). Deep Generative Variational Autoencoding for Replay Spoof Detection in Automatic Speaker Verification. nameOfConference
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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 Workshop
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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)
DOI: 10.33682/zyc0-jw35
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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)
DOI: 10.33682/sm6r-8p49
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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)
DOI: 10.33682/sp9n-qk06
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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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Martinez Ramirez M, Benetos E, Reiss J (2019). A general-purpose deep learning approach to model time-varying audio effects. International Conference on Digital Audio Effects (DAFx-19)
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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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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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MISHRA S, STOLLER D, BENETOS E et al. (2019). GAN-based Generation and Automatic Selection of Explanations for Neural Networks. SafeML ICLR 2019 Workshop
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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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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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BEAR H, BENETOS E (2018). An extensible cluster-graph taxonomy for open set sound scene analysis. Workshop on Detection and Classification of Acoustic Scenes and Events
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Nolasco I, BENETOS E (2018). To bee or not to bee: Investigating machine learning approaches for beehive sound recognition. 2018 Workshop on Detection and Classification of Acoustic Scenes and Events (DCASE 2018)
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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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Ali H, Tran SN, Benetos E et al. (2018). Speaker recognition with hybrid features from a deep belief network. 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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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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Valero-Mas JJ, BENETOS E, Iñesta JM (2018). A Supervised Classification Approach for Note Tracking in Polyphonic Piano Transcription. 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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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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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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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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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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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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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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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, 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
DOI: doi
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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
DOI: doi
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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
DOI: doi
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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
DOI: doi
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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
DOI: doi
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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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