New Frontiers in Music Information Processing

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

First report on novel data-driven approaches in MIR

First report on novel datadriven approaches in MIR

Dissemination and Public Engagement Plan
Final report on user-driven methods and future challenges

Final report on userdriven methods and future challenges

First report on novel knowledge-driven approaches in MIR

First report on novel knowledgedriven approaches in MIR

Dissemination Report
First report on novel user-driven approaches in MIR

First report on novel userdriven approaches in MIR

State of the art, challenges and potential of user-driven approaches in MIR
State of the art, challenges and potential of data-driven approaches in MIR
State of the art, challenges and potential of knowledge-driven approaches in MIR
Final report on knowledge-driven methods and future challenges

Final report on knowledgedriven methods and future challenges

Final report on data-driven methods and future challenges

Final report on datadriven methods and future challenges

Project Web Site and Social Media Launch

Summer School
First Workshop
Final Workshop

Pubblicazioni

Comparing Representations for Audio Synthesis Using Generative Adversarial Networks

Autori: Javier Nistal, Stefan Lattner, Gael Richard
Pubblicato in: 2020 28th European Signal Processing Conference (EUSIPCO), 2021, Pagina/e 161-165, ISBN 978-9-0827-9705-3
Editore: IEEE
DOI: 10.23919/eusipco47968.2020.9287799

Combining musical features for cover detection

Autori: Doras, Guillaume; Yesiler, Furkan; Serra, Joan; Gomez, Emilia; Peeters, Geoffroy
Pubblicato in: Proceedings of the 21st International Society for Music Information Retrieval Conference, Numero 4, 2020, Pagina/e 279-286, ISBN 978-0-9813537-0-8
Editore: ISMIR 2020 0 International Society for Music Information Retrieval Conference 2020
DOI: 10.5281/zenodo.4245424

MSTRE-Net: Multistreaming Acoustic Modeling for Automatic Lyrics Transcription

Autori: Emir Demirel, Sven Ahlbäck, Simon Dixon
Pubblicato in: 22nd International Society for Music Information Retrieval (ISMIR) Conference, 2021, Pagina/e 151-158
Editore: International Society for Music Information Retrieval (ISMIR)
DOI: 10.5281/zenodo.5624643

MediaEval 2019: emotion and theme recognition in music using Jamendo

Autori: Bogdanov, Dmitry; Porter, Alastair; Tovstogan, Philip; Won, Minz
Pubblicato in: MediaEval Benchmarking Initiative for Multimedia Evaluation, Numero Vol-2670, 2019, ISSN 1613-0073
Editore: MediaEval Benchmarking Initiative for Multimedia Evaluation

Web interface for exploration of latent and tag spaces in music auto-tagging

Autori: Tovstogan, Philip; Serra, Xavier; Bogdanov, Dmitry
Pubblicato in: Proceedings of the 37 th International Conference on Machine Learning, Numero 4, 2020
Editore: ICML 2020 - International Conference on Machine Learning 2020

Supervised Symbolic Music Style Translation Using Synthetic Data

Autori: Ondřej Cífka; Umut Simsekli; Gael Richard
Pubblicato in: Proceedings of the 20th International Society for Music Information Retrieval Conference, ISMIR., 2019, Pagina/e pp. 588-595.
Editore: ISMIR - International Society for Music Information Retrieval Conference.
DOI: 10.5281/zenodo.3527878

Autori: Tovstogan, Philip; Serra, Xavier; Bogdanov, Dmitry
Pubblicato in: Proceedings of the 19th Sound and Music Computing Conference - SMC 22, 2022, Pagina/e 287-294, ISBN 978-2-9584126-0-9
Editore: Sound and Music Computing Conference (SMC)
DOI: 10.5281/zenodo.6797867

SHOULD WE CONSIDER THE USERS IN CONTEXTUAL MUSIC AUTO-TAGGING MODELS?

Autori: Ibrahim, Karim,; Epure, Elena,; Peeters, Geoffroy; Richard, Gael
Pubblicato in: Proceedings of the 21st International Society for Music Information Retrieval Conference, Numero 6, 2020, ISBN 978-0-9813537-0-8
Editore: ISMIR 2020 - International Society for Music Information Retrieval Conference 2020
DOI: 10.5281/zenodo.3961560

DrumGAN: Synthesis of drum sounds with timbral feature conditioning using generative adversarial networks

Autori: Javier Nistal, Stefan Lattner, Ga¨el Richard
Pubblicato in: Proceedings of the 21st International Society for Music Information Retrieval Conference, 2020, Pagina/e 590-597, ISBN 978-0-9813537-0-8
Editore: ISMIR 2020 - International Society for Music Information Retrieval Conference 2020
DOI: 10.5281/zenodo.4245504

DarkGAN: Exploiting Knowledge Distillation for Comprehensible Audio Synthesis With GANs

Autori: Javier Nistal; Stefan Lattner; Gaël Richard
Pubblicato in: 22nd International Society for Music Information Retrieval (ISMIR) Conference, 2021, Pagina/e pp. 484-492.
Editore: International Society for Music Information Retrieval (ISMIR)
DOI: 10.5281/zenodo.5624507

Spectral and Temporal Timbral Cues of Vocal Imitations of Drum Sound.

Autori: Alejandro Delgado, Charalampos Saitis, and Mark Sandler
Pubblicato in: Proceedings of the 2nd International Conference on Timbre (Timbre 2020), 3-4 September 2020, Thessaloniki (online), Greece, 2020, Pagina/e 98-99, ISBN 978-960-99845-7-7
Editore: Timbre 2020. International Conference on Timbre 2020

Learning Soft-Attention Models for Tempo-invariant Audio-Sheet Music Retrieval

Autori: Balke, Stefan; Dorfer, Matthias; Carvalho, Luis; Arzt, Andreas; Widmer, Gerhard
Pubblicato in: Proceedings of the 20th International Society for Music Information Retrieval Conference, ISMIR., 2019, Pagina/e pp. 216-222
Editore: ISMIR International Society for Music Information Retrieval
DOI: 10.5281/zenodo.3527782

Addressing the Recitative Problem in Real-time Opera Tracking

Autori: Brazier, Charles; Widmer, Gerhard
Pubblicato in: 25th International Symposium on Frontiers of Research in Speech and Music, Numero 5, 2020
Editore: Frontiers of Research in Speech and Music

Confidence-based Weighted Loss for Multi-label Classification with Missing Labels

Autori: Karim M. Ibrahim; Gael Richard; Elena V. Epure; Geoffroy Peeters
Pubblicato in: ICMR '20: Proceedings of the 2020 International Conference on Multimedia Retrieval, Numero 5, 2020, Pagina/e 291–295
Editore: International Conference on Multimedia Retrieval (ICMR 2020)
DOI: 10.1145/3372278.3390728

Learning Models for Query by Vocal Percussion: A Comparative Study

Autori: Alejandro Delgado Luezas (Roli / Queen Mary University of London); SKoT McDonald (Roli); Ning Xu (Roli); Charalampos Saitis (Queen Mary University of London (starting Oct/Nov?)); Mark B. Sandler (Queen Mary University of London) -
Pubblicato in: Proceedings of the International Computer Music Conference (ICMC) 2021, 2021, Pagina/e 166-171
Editore: International Computer Music Conference 2021 Pontificia Universidad Católica de Chile

Anomalous behaviour in loss-gradient based interpretability methods

Autori: Vinod Subramanian, S. Gururani, E. Benetos, and M. Sandler
Pubblicato in: RobustML workshop paper at ICLR 2021, May 2021, 2021
Editore: ICLR

Da-TACOS: A Dataset for Cover Song Identification and Understanding

Autori: Furkan Yesiler; Chris Tralie; Albin Correya; Diego Furtado Silva; Philip Tovstogan; Emilia Gomez; Xavier Serra
Pubblicato in: Proceedings of the 20th International Society for Music Information Retrieval Conference, ISMIR., 2019, Pagina/e pp. 327-334.
Editore: ISMIR - International Society for Music Information Retrieval Conference
DOI: 10.5281/zenodo.3527809

Low Resource Audio-To-Lyrics Alignment from Polyphonic Music Recordings

Autori: Emir Demirel, Sven Ahlback, Simon Dixon
Pubblicato in: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021, Pagina/e 586-590, ISBN 978-1-7281-7605-5
Editore: IEEE
DOI: 10.1109/icassp39728.2021.9414395

Less is more: Faster and better music version identification with embedding distillation

Autori: Yesiler, Furkan; Serrà, Joan; Gómez, Emilia
Pubblicato in: Proceedings of the 21st International Society for Music Information Retrieval Conference; 2020 Oct 11-16;, 2020, Pagina/e 884-92, ISBN 978-0-9813537-0-8
Editore: ISMIR; 2020 -International Society for Music Information Retrieval Conference 2020
DOI: 10.5281/zenodo.4245570

Learning Frame Similarity using Siamese networks for Audio-to-Score Alignment

Autori: Ruchit Agrawal, Simon Dixon
Pubblicato in: 2020 28th European Signal Processing Conference (EUSIPCO), 2021, Pagina/e 141-145, ISBN 978-9-0827-9705-3
Editore: IEEE
DOI: 10.23919/eusipco47968.2020.9287625

Real-time visualisation of fugue played by a string quartet

Autori: Olivier Lartillot, Carlos Cancino-Chacón and Charles Brazier
Pubblicato in: 17th Sound and Music Computing Conference, 2020, Pagina/e 115, ISBN 978-88-945415-0-2
Editore: SMC 2020.
DOI: 10.5281/zenodo.3898713

LoopNet: Musical Loop Synthesis Conditioned On Intuitive Musical Parameters

Autori: Pritish Chandna, António Ramires, Xavier Serra, Emilia Gómez
Pubblicato in: EEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021
Editore: IEEE ICASSP
DOI: 10.1109/icassp39728.2021.9415047

Exploiting Temporal Dependencies for Cross-Modal Music Piece Identification

Autori: Carvalho, Luis; Widmer, Gerhard
Pubblicato in: 29th European Signal Processing Conference (EUSIPCO 2021),, Numero 2, 2021
Editore: European Association for Signal Processing (EURASIP)

User-guided one-shot deep model adaptation for music source separation

Autori: Giorgia Cantisani, Alexey Ozerov, Slim Essid, Gael Richard
Pubblicato in: IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2021
Editore: IEEE Signal Processing Society- Applications of Signal Processing to Audio and Acoustics (WASPAA)

Computational Pronunciation Analysis in Sung Utterances.

Autori: Emir Demirel, Sven Ahlback, Simon Dixon
Pubblicato in: 29th European Signal Processing Conference (EUSIPCO 2021), 2021
Editore: European Association for Signal Processing (EURASIP)

Phoneme-Informed Note Segmentation of Monophonic Vocal Music

Autori: Yukun Li, Emir Demirel, Polina Proutskova and Simon Dixon
Pubblicato in: 2nd Workshop on Natural Language Processing for Music and Spoken Audio (NLP4MusA), 2021
Editore: Natural Language Processing for Music and Spoken Audio (NLP4MusA)

A Study on the Transferability of Adversarial Attacks in Sound Event Classification

Autori: Vinod Subramanian, Arjun Pankajakshan, Emmanouil Benetos, Ning Xu, SKoT McDonald, Mark Sandler
Pubblicato in: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 301-305, Numero 301-305, 2020, ISBN 978-1-5090-6631-5
Editore: IEEE
DOI: 10.1109/icassp40776.2020.9054445

Neuro-Steered Music Source Separation With EEG-Based Auditory Attention Decoding And Contrastive-NMF

Autori: Giorgia Cantisani, Slim Essid, Gael Richard
Pubblicato in: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021, Pagina/e 36-40, ISBN 978-1-7281-7605-5
Editore: IEEE
DOI: 10.1109/icassp39728.2021.9413841

Relative Positional Encoding for Transformers with Linear Complexity

Autori: Antoine Liutkus, Ondřej Cífka, Shih-Lun Wu, Umut Şimşekli, Yi-Hsuan Yang, Gaël Richard
Pubblicato in: 38th International Conference on Machine Learning (ICML), 2021, Pagina/e PMLR 139:7067-7079, 2021.
Editore: International Conference on Machine Learning (ICML)

A Hybrid Approach to Audio-to-Score Alignment

Autori: Agrawal R., and Dixon S.
Pubblicato in: 36th International Conference on Machine Learning (ICML 2019),, Numero Poster presentations, 2019
Editore: 36th International Conference on Machine Learning (ICML 2019),
DOI: 10.48550/arxiv.2007.14333

Investigating Kernel Shapes and Skip Connections for Deep Learning-Based Harmonic-Percussive Separation

Autori: Carlos Lordelo, Emmanouil Benetos, Simon Dixon, Sven Ahlback
Pubblicato in: 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2019, Pagina/e 40-44, ISBN 978-1-7281-1123-0
Editore: IEEE
DOI: 10.1109/waspaa.2019.8937079

Robustness of Adversarial Attacks in Sound Event Classification

Autori: Vinod Subramanian, Emmanouil Benetos, Mark B. Sandler
Pubblicato in: Proceedings of the Detection and Classification of Acoustic Scenes and Events 2019 Workshop (DCASE2019), 2019, Pagina/e 239-243, ISBN 978-0-578-59596-2
Editore: New York University
DOI: 10.33682/sp9n-qk06

A New Dataset for Amateur Vocal Percussion Analysis

Autori: Alejandro Delgado, SKoT McDonald, Ning Xu, Mark Sandler
Pubblicato in: Proceedings of the 14th International Audio Mostly Conference: A Journey in Sound on ZZZ - AM'19, 2019, Pagina/e 17-23, ISBN 9781-450372978
Editore: ACM Press
DOI: 10.1145/3356590.3356844

Weakly Informed Audio Source Separation

Autori: Kilian Schulze-Forster, Clement Doire, Gael Richard, Roland Badeau
Pubblicato in: 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2019, Pagina/e 273-277, ISBN 978-1-7281-1123-0
Editore: IEEE
DOI: 10.1109/waspaa.2019.8937266

MAD-EEG: an EEG dataset for decoding auditory attention to a target instrument in polyphonic music

Autori: Giorgia Cantisani, Gabriel Trégoat, Slim Essid, Gaël Richard
Pubblicato in: SMM19, Workshop on Speech, Music and Mind 2019, 2019, Pagina/e 51-55
Editore: ISCA
DOI: 10.21437/smm.2019-11

Automatic chord-scale recognition using harmonic pitch class profiles

Autori: Demirel, Emir; Baris Bozkurt; Serra, Xavier
Pubblicato in: 16th Sound & Music Computing Conference (SMC 2019), Numero 5, 2019
Editore: Sound and Music Computing Conference (SMC)
DOI: 10.5281/zenodo.3249257

EEG-Based Decoding of Auditory Attention to a Target Instrument in Polyphonic Music

Autori: Giorgia Cantisani, Slim Essid, Gael Richard
Pubblicato in: 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2019, Pagina/e 80-84, ISBN 978-1-7281-1123-0
Editore: IEEE
DOI: 10.1109/waspaa.2019.8937219

The MTG-Jamendo dataset for automatic music tagging

Autori: Bogdanov, Dmitry; Won, Minz; Tovstogan, Philip; Porter, Alastair; Serra, Xavier
Pubblicato in: Machine Learning for Music Discovery Workshop, International Conference on Machine Learning (ICML 2019), 2019
Editore: Machine Learning for Music DisMachine Learning for Music Discovery Workshop, International Conference on Machine Learning (ICML 2019)

Data augmentation for instrument classification robust to audio effects

Autori: Ramires, António; Serra, Xavier
Pubblicato in: 22nd International Conference on Digital Audio Effects (DAFx-19), 2019, Pagina/e 226-230, ISSN 2413-6689
Editore: 22nd International Conference on Digital Audio Effects (DAFx-19)

Exploring Generalizability of Automatic Phoneme Recognition Models

Autori: Emir Demirel(1), Sven Ahlback(2) and Simon Dixon(1)
Pubblicato in: UK Speech Conference 2019 The University of Birmingham, UK 24-25 June, Numero POSTER 14, 2019
Editore: UK Speech Conference 2019 The University of Birmingham, UK 24{25 June

Neural Percussive Synthesis Parameterised by High-Level Timbral Features

Autori: Antonio Ramires, Pritish Chandna, Xavier Favory, Emilia Gomez, Xavier Serra
Pubblicato in: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020, Pagina/e 786-790, ISBN 978-1-5090-6631-5
Editore: IEEE
DOI: 10.1109/icassp40776.2020.9053128

Audio-Based Auto-Tagging With Contextual Tags for Music

Autori: Karim M. Ibrahim, Jimena Royo-Letelier, Elena V. Epure, Geoffroy Peeters, Gael Richard
Pubblicato in: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020, Pagina/e 16-20, ISBN 978-1-5090-6631-5
Editore: IEEE
DOI: 10.1109/icassp40776.2020.9054352

Joint Phoneme Alignment and Text-Informed Speech Separation on Highly Corrupted Speech

Autori: Kilian Schulze-Forster, Clement S. J. Doire, Gael Richard, Roland Badeau
Pubblicato in: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020, Pagina/e 7274-7278, ISBN 978-1-5090-6631-5
Editore: IEEE
DOI: 10.1109/icassp40776.2020.9053182

Accurate and Scalable Version Identification Using Musically-Motivated Embeddings

Autori: Furkan Yesiler, Joan Serra, Emilia Gomez
Pubblicato in: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020, Pagina/e 21-25, ISBN 978-1-5090-6631-5
Editore: IEEE
DOI: 10.1109/icassp40776.2020.9053793

Visualization of Deep Audio Embeddings for Music Exploration and Rediscovery

Autori: Tovstogan, Philip; Serra, Xavier; Bogdanov, Dmitry
Pubblicato in: Proceedings of the 19th Sound and Music Computing Conference - SMC 22, 2022, Pagina/e 485-493, ISBN 978-2-9584126-0-9
Editore: Sound and Music Computing Conference (SMC)
DOI: 10.5281/zenodo.6798268

Pitch-Informed Instrument Assignment using a Deep Convolutional Network with Multiple Kernel Shapes

Autori: Carlos Lordelo; Emmanouil Benetos; Simon Dixon; Sven Ahlbäck
Pubblicato in: 22nd International Society for Music Information Retrieval (ISMIR) Conference, 2021, Pagina/e pp. 389-395
Editore: International Society for Music Information Retrieval (ISMIR)
DOI: 10.5281/zenodo.5625682

Automatic Lyrics Transcription using Dilated Convolutional Neural Networks with Self-Attention

Autori: Emir Demirel, Sven Ahlback, Simon Dixon
Pubblicato in: 2020 International Joint Conference on Neural Networks (IJCNN), 2020, Pagina/e 1-8, ISBN 978-1-7281-6926-2
Editore: IEEE
DOI: 10.1109/ijcnn48605.2020.9207052

Handling Structural Mismatches in Real-time Opera Tracking

Autori: Charles Brazier, Gerhard Widmer
Pubblicato in: 29th European Signal Processing Conference (EUSIPCO 2021), 2021
Editore: European Association for Signal Processing (EURASIP)

Structure-Aware Audio-to-Score Alignment Using Progressively Dilated Convolutional Neural Networks

Autori: Ruchit Agrawal, Daniel Wolff, Simon Dixon
Pubblicato in: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021, Pagina/e 571-575, ISBN 978-1-7281-7605-5
Editore: IEEE
DOI: 10.1109/icassp39728.2021.9414049

On-Line Audio-to-Lyrics Alignment Based on a Reference Performance

Autori: Charles Brazier, Gerhard Widmer
Pubblicato in: 22nd International Society for Music Information Retrieval (ISMIR) Conference, 2021, Pagina/e pp. 66-73.
Editore: International Society for Music Information Retrieval (ISMIR)
DOI: 10.5281/zenodo.5625665

Memory Controlled Sequential Self Attention for Sound Recognition

Autori: Arjun Pankajakshan, Helen L. Bear, Vinod Subramanian, Emmanouil Benetos
Pubblicato in: Interspeech 2020, 2020, Pagina/e 831-835, ISSN 1990-9772
Editore: ISCA
DOI: 10.21437/interspeech.2020-1953

Investigating the Efficacy of Music Version Retrieval Systems for Setlist Identification

Autori: Furkan Yesiler, Emilio Molina, Joan Serra, Emilia Gomez
Pubblicato in: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021, Pagina/e 541-545, ISBN 978-1-7281-7605-5
Editore: IEEE
DOI: 10.1109/icassp39728.2021.9414603

Self-Supervised VQ-VAE for One-Shot Music Style Transfer

Autori: Ondrej Cifka, Alexey Ozerov, Umut Simsekli, Gael Richard
Pubblicato in: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021, Pagina/e 96-100, ISBN 978-1-7281-7605-5
Editore: IEEE
DOI: 10.1109/icassp39728.2021.9414235

TIV.lib: an open-source library for the tonal description of musical audio

Autori: Ramires, António; Bernardes, Gilberto; Davies, Matthew E. P.; Serra, Xavier
Pubblicato in: Proceedings of the 23rd International Conference on Digital Audio Effects, Numero 4, 2020, Pagina/e 304-309
Editore: DAFx-20, Conference on Digital Audio Effects 2020

Towards reliable real-time opera tracking: Combining alignment with audio event detectors to increase robustness

Autori: Charles Brazier; Gerhard Widmer
Pubblicato in: 17th Sound & Music Computing Conference (SMC 2020),, Numero 7, 2020, Pagina/e 371, ISBN 978-88-945415-0-2
Editore: SMC – Sound and Music Computing Network
DOI: 10.5281/zenodo.3898877

Assessing Algorithmic Biases for Musical Version Identification

Autori: Furkan Yesiler, Marius Miron, Joan Serrà, Emilia Gómez
Pubblicato in: The 15th ACM International WSDM Conference, 2022
Editore: ACM
DOI: 10.1145/3488560.3498397

The Freesound Loop Dataset and Annotation Tool

Autori: Antonio Ramires, Frederic Font, Dmitry Bogdanov, Jordan B. L. Smith, Yi-Hsuan Yang, Joann Ching, Bo-Yu Chen, Yueh-Kao Wu, Hsu Wei-Han, Xavier Serra
Pubblicato in: Proceedings of the 21st International Society for Music Information Retrieval Conference, 2020, Pagina/e 287-294, ISBN 978-0-9813537-0-8
Editore: ISMIR 2020 - International Society for Music Information Retrieval Conference 2020

Improving Real-time Score Following in Opera by Combining Music with Lyrics Tracking

Autori: Charles Brazier, Gerhard Widmer
Pubblicato in: 2nd Workshop on NLP for Music and Audio (NLP4MusA), Online, 2021, 2021
Editore: Natural Language Processing for Music and Spoken Audio (NLP4MusA)

VQCPC-GAN: Variable-length Adversarial Audio Synthesis using Vector-Quantized Contrastive Predictive Coding

Autori: Javier Nistal, Cyran Aouameur, Stefan Lattner and Gaël Richard
Pubblicato in: IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2021
Editore: IEEE (WASPAA)
DOI: 10.1109/waspaa52581.2021.9632757

Deep Embeddings for Robust User-Based Amateur Vocal Percussion Classification

Autori: Delgado, Alejandro; Demirel, Emir; Subramanian, Vinod; Saitis, Charalampos; Sandler, Mark
Pubblicato in: Proceedings of the 19th Sound and Music Computing Conference -SMC22, 2022, Pagina/e 123-130, ISBN 978-2-9584126-0-9
Editore: Sound and Music Computing Conference (SMC)
DOI: 10.5281/zenodo.6797666

Adversarial Unsupervised Domain Adaptation for Harmonic-Percussive Source Separation

Autori: Carlos Lordelo, Emmanouil Benetos, Simon Dixon, Sven Ahlbäck, Patrik Ohlsson
Pubblicato in: IEEE Signal Processing Letters ( Volume: 28), Numero Volume: 28, 2020, Pagina/e 81-85, ISSN 1558-2361
Editore: IEEE Signal Processing Society
DOI: 10.1109/lsp.2020.3045915

A Convolutional-Attentional Neural Framework for Structure-Aware Performance-Score Synchronization

Autori: Ruchit Agrawal, Daniel Wolff, Simon Dixon
Pubblicato in: EEE Signal Processing Letters ( Volume: 29), Numero 5, 2021, Pagina/e 344 - 348, ISSN 1558-2361
Editore: IEEE
DOI: 10.1109/lsp.2021.3135192

Audio-based musical version identification: Elements and challenges.

Autori: Furkan Yesiler, G. Doras, R. M. Bittner, C. J. Tralie, and J. Serrà.
Pubblicato in: IEEE Signal Processing Magazine, Numero Volume: 38, Numero: 6, Nov. 2021, 2021, Pagina/e 115 - 136, ISSN 1053-5888
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/msp.2021.3105941

Phoneme Level Lyrics Alignment and Text-Informed Singing Voice Separation

Autori: Kilian Schulze-Forster, Clement Doire, Gael Richard, Roland Badeau
Pubblicato in: IEEE/ACM Transactions on Audio, Speech, and Language Processing, Numero 29, 2021, Pagina/e 2382-2395, ISSN 2329-9290
Editore: IEEE Advancing Technology for Humanity
DOI: 10.1109/taslp.2021.3091817

Groove2Groove: One-Shot Music Style Transfer With Supervision From Synthetic Data

Autori: Gael Richard; Umut Simsekli; Ondrej Cifka
Pubblicato in: IEEE/ACM Transactions on Audio, Speech and Language Processing, Numero 1, 2020, Pagina/e 2638 - 2650, ISSN 2329-9304
Editore: IEEE - Institute of Electrical and Electronics Engineers
DOI: 10.1109/taslp.2020.3019642

Stochastic Restoration of Heavily Compressed Musical Audio Using Generative Adversarial Networks

Autori: Stefan Lattner, Javier Nistal
Pubblicato in: Electronics, Numero 10/11, 2021, Pagina/e 1349, ISSN 2079-9292
Editore: MDPI (Molecular Diversity Preservation International)
DOI: 10.3390/electronics10111349

A Recursive Search Method for Lyrics Alignment.

Autori: Demirel E. Ahlback S., and Dixon S.
Pubblicato in: 20th International Society for Music Information Retrieval Conference (ISMIR 2020),, 2020
Editore: International Society for Music Information Retrieval Conference

2021 Emotion and Theme Recognition in Music Using Jamendo

Autori: Philip Tovstogan, Dmitry Bogdanov, Alastair Porter
Pubblicato in: Working Notes Proceedings of the MediaEval 2021 Workshop, 2021
Editore: MediaEval 2021 Multimedia Benchmark Workshop

2020 Emotion and Theme Recognition in Music Using Jamendo

Autori: Dmitry Bogdanov, Alastair Porter, Philip Tovstogan, Minz Won
Pubblicato in: Working Notes Proceedings of the MediaEval 2020 Workshop, 2020, Pagina/e Vol-2882 urn:nbn:de:0074-2882-4, ISSN 1613-0073
Editore: MediaEval 2020. Multimedia Benchmark Workshop 2020

MIREX 2019 - AUDIO-TO-LYRICS ALIGNMENT CHALLENGE 2019

Autori: Emir Demirel
Pubblicato in: “MIREX 2019 - Audio-to-Lyrics Alignment Challenge 2019”, 20th International Society for Music Information Retrieval Conference, Delft, The Netherlands, 2019., 2019
Editore: 15th running of the Music Information Retrieval Evaluation eXchange (MIREX 2019)

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