Ensemble models for spoofing detection in automatic speaker verification B Chettri, D Stoller, V Morfi, MAM Ramírez, E Benetos, BL Sturm Interspeech, 2019 | 96 | 2019 |
Deep learning for audio event detection and tagging on low-resource datasets V Morfi, D Stowell Applied Sciences 8 (8), 1397, 2018 | 57* | 2018 |
NIPS4Bplus: a richly annotated birdsong audio dataset V Morfi, Y Bas, H Pamuła, H Glotin, D Stowell PeerJ Computer Science 5, e223, 2019 | 33 | 2019 |
Few-Shot Bioacoustic Event Detection: A New Task at the DCASE 2021 Challenge. V Morfi, I Nolasco, V Lostanlen, S Singh, A Strandburg-Peshkin, LF Gill, ... DCASE, 145-149, 2021 | 31 | 2021 |
Few-shot bioacoustic event detection at the dcase 2022 challenge I Nolasco, S Singh, E Vidana-Villa, E Grout, J Morford, M Emmerson, ... arXiv preprint arXiv:2207.07911, 2022 | 27 | 2022 |
Deep perceptual embeddings for unlabelled animal sound events V Morfi, RF Lachlan, D Stowell The Journal of the Acoustical Society of America 150 (1), 2-11, 2021 | 24 | 2021 |
Learning to detect an animal sound from five examples I Nolasco, S Singh, V Morfi, V Lostanlen, A Strandburg-Peshkin, ... Ecological informatics 77, 102258, 2023 | 22 | 2023 |
Data-efficient weakly supervised learning for low-resource audio event detection using deep learning V Morfi, D Stowell Detection and Classification of Acoustic Scenes and Events 2018 Workshop …, 2018 | 19 | 2018 |
Joint multi-pitch detection and score transcription for polyphonic piano music L Liu, V Morfi, E Benetos International Conference on Acoustics, Speech, & Signal Processing (ICASSP), 2021 | 14 | 2021 |
Individual identity in songbirds: signal representations and metric learning for locating the information in complex corvid calls D Stowell, V Morfi, LF Gill Interspeech, 2016 | 10 | 2016 |
A computationally efficient refinement of the fundamental frequency estimate for the adaptive harmonic model V Morfi, G Degottex, A Mouchtaris 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 5 | 2014 |
Performance MIDI-to-score conversion by neural beat tracking L Liu, Q Kong, GV Morfi, E Benetos | 4 | 2022 |
An evaluation of data augmentation methods for sound scene geotagging HL Bear, V Morfi, E Benetos arXiv preprint arXiv:2110.04585, 2021 | 4 | 2021 |
Deductive refinement of species labelling in weakly labelled birdsong recordings V Morfi, D Stowell 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 4 | 2017 |
Bird song comparison using deep learning trained from avian perceptual judgments L Zandberg, V Morfi, J George, DF Clayton, D Stowell, RF Lachlan bioRxiv, 2022.12. 23.521425, 2022 | 3 | 2022 |
Speech analysis and synthesis with a computationally efficient adaptive harmonic model V Morfi, G Degottex, A Mouchtaris IEEE/ACM Transactions on Audio, Speech, and Language Processing 23 (11 …, 2015 | 3 | 2015 |
ACPAS: a dataset of aligned classical piano audio and scores for audio-to-score transcription L Liu, V Morfi, E Benetos | 2 | 2021 |
Joint Piano-roll and Score Transcription for Polyphonic Piano Music L Liu, GV Morfi, E Benetos | | 2020 |
Experiment Report: Joint Multi-pitch Detection and Score Transcription for Polyphonic Piano Music L Liu, V Morfi, E Benetos | | |