Burooj Ghani

According to our database, Burooj Ghani authored at least 10 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Automated data curation for self-supervised learning in underwater acoustic analysis.

Hilde I. Hummel, Sandjai Bhulai, Burooj Ghani, Rob van der Mei

CoRR, May, 2025

Clustering and novel class recognition: evaluating bioacoustic deep learning feature extractors.

Vincent S. Kather, Burooj Ghani, Dan Stowell

CoRR, April, 2025

InsectSet459: an open dataset of insect sounds for bioacoustic machine learning.

Marius Faiß, Burooj Ghani, Dan Stowell

CoRR, March, 2025

2024

Efficient Speech Detection in Environmental Audio Using Acoustic Recognition and Knowledge Distillation.

Drew Priebe, Burooj Ghani, Dan Stowell

Sensors, April, 2024

Generalization in birdsong classification: impact of transfer learning methods and dataset characteristics.

Burooj Ghani, Vincent J. Kalkman, Bob Planqué, Willem-Pier Vellinga, Lisa F. Gill, Dan Stowell

CoRR, 2024

Mind the Domain Gap: A Systematic Analysis on Bioacoustic Sound Event Detection.

Jinhua Liang, Inês Nolasco, Burooj Ghani, Huy Phan, Emmanouil Benetos, Dan Stowell

Proceedings of the 32nd European Signal Processing Conference, 2024

2023

Learning to detect an animal sound from five examples.

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

Ecol. Informatics, November, 2023

Classification of group-specific variations in songs within House Wren species using machine learning models.

Burooj Ghani, Holger Klinck, Sarah Hallerberg

Ecol. Informatics, May, 2023

Feature Embeddings from Large-Scale Acoustic Bird Classifiers Enable Few-Shot Transfer Learning.

Burooj Ghani, Tom Denton, Stefan Kahl, Holger Klinck

CoRR, 2023

Few-shot bioacoustic event detection at the DCASE 2023 challenge.

Inês Nolasco, Burooj Ghani, Shubhr Singh, Ester Vidaña-Vila, Helen Whitehead, Emily Grout, Michael G. Emmerson, Frants H. Jensen, Ivan Kiskin, Joe Morford, Ariana Strandburg-Peshkin, Lisa F. Gill, Hanna Pamula, Vincent Lostanlen, Dan Stowell

CoRR, 2023