53 citations · 72 across the 10 of their papers we have counts for
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Towards Leveraging Sequential Structure in Animal Vocalizations
Eklavya Sarkar, Mathew Magimai. -Doss
Animal vocalizations contain sequential structures that carry important communicative information, yet most computational bioacoustics studies average the extracted frame-level fea…
On feature representations for marmoset vocal communication analysis
Eklavya Sarkar, Kaja Wierucka, Alexandra B. Bosshard +2
The acoustic analysis of marmoset (Callithrix jacchus) vocalizations is often used to understand the evolutionary origins of human language. Currently, the analysis is largely carr…
Comparing Self-Supervised Learning Models Pre-Trained on Human Speech and Animal Vocalizations for Bioacoustics Processing
Eklavya Sarkar, Mathew Magimai. -Doss
Self-supervised learning (SSL) foundation models have emerged as powerful, domain-agnostic, general-purpose feature extractors applicable to a wide range of tasks. Such models pre-…