🔧 A tool with pretrained models to estimate F0 on new data
📊 An annotated dataset of 250k+ vocalisations
🔧 A tool with pretrained models to estimate F0 on new data
📊 An annotated dataset of 250k+ vocalisations
✅ Neural network models show strong potential
✅ Supervised models generalise to unseen species
✅ Self-supervised models can perform on par with supervised ones in some cases
✅ As expected, performance correlates with F0 saliency
✅ Neural network models show strong potential
✅ Supervised models generalise to unseen species
✅ Self-supervised models can perform on par with supervised ones in some cases
✅ As expected, performance correlates with F0 saliency
We study how well #MIR F0 estimation transfers to non-human vocalisations, benchmarking SOTA models across 14 taxa:
We study how well #MIR F0 estimation transfers to non-human vocalisations, benchmarking SOTA models across 14 taxa:
F0 estimation is a classic task in the Music Information Retrieval (#MIR) community. Yet, it's much less studied in bioacoustics—despite its frequent use to describe animal sounds.
Images from doi.org/10.1038/srep... doi.org/10.1098/rspb... doi.org/10.3389/fmar...
F0 estimation is a classic task in the Music Information Retrieval (#MIR) community. Yet, it's much less studied in bioacoustics—despite its frequent use to describe animal sounds.
Images from doi.org/10.1038/srep... doi.org/10.1098/rspb... doi.org/10.3389/fmar...
doi.org/10.1016/j.ec...
We analyse #bioacoustics recordings spanning 5 years of wild orcas. DL classification and subsequent complexity measures are contrasted to pod sizes, to approach the social complexity hypothesis in #cetaceans
Good collab Best et al!
doi.org/10.1016/j.ec...
We analyse #bioacoustics recordings spanning 5 years of wild orcas. DL classification and subsequent complexity measures are contrasted to pod sizes, to approach the social complexity hypothesis in #cetaceans
Good collab Best et al!
SUCRe uses SfM/MVS dense reconstruction to recover colors from underwater images.
🔗 clementinboittiaux.github.io/sucre/
To appear at #3DV2024 in March.
#underwater #deepsea #ai #machinelearning #computervision
SUCRe uses SfM/MVS dense reconstruction to recover colors from underwater images.
🔗 clementinboittiaux.github.io/sucre/
To appear at #3DV2024 in March.
#underwater #deepsea #ai #machinelearning #computervision
An international program combining #AI and #Robotics for #Ocean applications 🧠🤖🌊
Applications open tomorrow October 28th 2023
More here: www.master-mir.eu/emjmd-mir-ne...
An international program combining #AI and #Robotics for #Ocean applications 🧠🤖🌊
Applications open tomorrow October 28th 2023
More here: www.master-mir.eu/emjmd-mir-ne...