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ORCIDVeronica Morfi
Person information
- affiliation (PhD 2019): Queen Mary University of London, London, UK
- affiliation (former): Institute of Computer Science, Foundation for Research and Technology-Hellas, Heraklion, Crete, Greece
- affiliation (former): University of Crete, Greece
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2020 – today
- 2024
[j4]Lies Zandberg
, Veronica Morfi, Julia M. George, David Clayton, Dan Stowell, Robert F. Lachlan:
Bird song comparison using deep learning trained from avian perceptual judgments. PLoS Comput. Biol. 20(8): 1012329 (2024)- 2023
- [j3]Inês Nolasco, Shubhr Singh, Veronica Morfi, Vincent Lostanlen, Ariana Strandburg-Peshkin, Ester Vidaña-Vila, Lisa F. Gill, Hanna Pamula, Helen Whitehead, Ivan Kiskin, Frants H. Jensen, Joe Morford, Michael G. Emmerson, Elisabetta Versace, Emily Grout, Haohe Liu, Burooj Ghani, Dan Stowell:
Learning to detect an animal sound from five examples. Ecol. Informatics 77: 102258 (2023) - [i9]Inês Nolasco, Shubhr Singh, Veronica Morfi, Vincent Lostanlen, Ariana Strandburg-Peshkin, Ester Vidaña-Vila, Lisa F. Gill, Hanna Pamula, Helen Whitehead, Ivan Kiskin, Frants H. Jensen, Joe Morford, Michael G. Emmerson, Elisabetta Versace, Emily Grout, Haohe Liu, Dan Stowell:
Learning to detect an animal sound from five examples. CoRR abs/2305.13210 (2023) - 2022
- [c10]Inês Nolasco, Shubhr Singh, E. Vidaña-Villa, Emily Grout, J. Morford, Michael G. Emmerson, Frants H. Jensen, Ivan Kiskin, Helen Whitehead, Ariana Strandburg-Peshkin, Lisa F. Gill, Hanna Pamula, Vincent Lostanlen, Veronica Morfi, Dan Stowell:
Few-Shot Bioacoustic Event Detection at the DCASE 2022 Challenge. DCASE 2022 - [c9]Lele Liu, Qiuqiang Kong, Veronica Morfi, Emmanouil Benetos:
Performance MIDI-to-score conversion by neural beat tracking. ISMIR 2022: 395-402 - [i8]Inês Nolasco, Shubhr Singh, E. Vidaña-Villa, Emily Grout, J. Morford, Michael G. Emmerson, Frants H. Jensen, Helen Whitehead, Ivan Kiskin, Ariana Strandburg-Peshkin, Lisa F. Gill, Hanna Pamula, Vincent Lostanlen, Veronica Morfi, Dan Stowell:
Few-shot bioacoustic event detection at the DCASE 2022 challenge. CoRR abs/2207.07911 (2022) - 2021
- [c8]Veronica Morfi, Inês Nolasco, Vincent Lostanlen, Shubhr Singh, Ariana Strandburg-Peshkin, Lisa F. Gill, Hanna Pamula, David Benvent, Dan Stowell:
Few-Shot Bioacoustic Event Detection: A New Task at the DCASE 2021 Challenge. DCASE 2021: 145-149 - [c7]Lele Liu, Veronica Morfi, Emmanouil Benetos:
Joint Multi-Pitch Detection and Score Transcription for Polyphonic Piano Music. ICASSP 2021: 281-285 - [c6]Helen L. Bear, Veronica Morfi, Emmanouil Benetos:
An Evaluation of Data Augmentation Methods for Sound Scene Geotagging. Interspeech 2021: 581-585 - [i7]Helen L. Bear, Veronica Morfi, Emmanouil Benetos:
An evaluation of data augmentation methods for sound scene geotagging. CoRR abs/2110.04585 (2021)
2010 – 2019
- 2019
- [b1]Gnostothea-Veroniki Morfi:
Automatic detection and classification of bird sounds in low-resource wildlife audio datasets. Queen Mary University of London, UK, 2019 - [j2]Veronica Morfi, Yves Bas, Hanna Pamula, Hervé Glotin, Dan Stowell:
NIPS4Bplus: a richly annotated birdsong audio dataset. PeerJ Comput. Sci. 5: e223 (2019) - [c5]Bhusan Chettri, Daniel Stoller, Veronica Morfi, Marco A. Martínez Ramírez, Emmanouil Benetos, Bob L. Sturm:
Ensemble Models for Spoofing Detection in Automatic Speaker Verification. INTERSPEECH 2019: 1018-1022 - [i6]Bhusan Chettri, Daniel Stoller, Veronica Morfi, Marco A. Martínez Ramírez, Emmanouil Benetos, Bob L. Sturm:
Ensemble Models for Spoofing Detection in Automatic Speaker Verification. CoRR abs/1904.04589 (2019) - 2018
- [c4]Veronica Morfi, Dan Stowell:
Data-efficient weakly supervised learning for low-resource audio event detection using deep learning. DCASE 2018: 123-127 - [i5]Veronica Morfi, Dan Stowell:
Deep Learning for Audio Transcription on Low-Resource Datasets. CoRR abs/1807.03697 (2018) - [i4]Veronica Morfi, Dan Stowell:
Data-Efficient Weakly Supervised Learning for Low-Resource Audio Event Detection Using Deep Learning. CoRR abs/1807.06972 (2018) - [i3]Veronica Morfi, Yves Bas, Hanna Pamula, Hervé Glotin, Dan Stowell:
NIPS4Bplus: a richly annotated birdsong audio dataset. CoRR abs/1811.02275 (2018) - 2017
- [c3]Veronica Morfi, Dan Stowell:
Deductive refinement of species labelling in weakly labelled birdsong recordings. ICASSP 2017: 656-660 - 2016
- [c2]Dan Stowell, Veronica Morfi, Lisa F. Gill:
Individual Identity in Songbirds: Signal Representations and Metric Learning for Locating the Information in Complex Corvid Calls. INTERSPEECH 2016: 2607-2611 - [i2]Veronica Morfi, Dan Stowell:
Deductive Refinement of Species Labelling in Weakly Labelled Birdsong Recordings. CoRR abs/1603.07173 (2016) - [i1]Dan Stowell, Veronica Morfi, Lisa F. Gill:
Individual identity in songbirds: signal representations and metric learning for locating the information in complex corvid calls. CoRR abs/1603.07236 (2016) - 2015
- [j1]Veronica Morfi, Gilles Degottex, Athanasios Mouchtaris:
Speech Analysis and Synthesis with a Computationally Efficient Adaptive Harmonic Model. IEEE ACM Trans. Audio Speech Lang. Process. 23(11): 1950-1962 (2015) - 2014
- [c1]Veronica Morfi, Gilles Degottex, Athanasios Mouchtaris:
A computationally efficient refinement of the fundamental frequency estimate for the Adaptive Harmonic Model. ICASSP 2014: 1478-1482
Coauthor Index
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