💡 How can we build #AI models that generalize across species + tasks? 🐦🐋🐒 This is a fundamental question for our work at ESP and it’s the topic of our most recent paper and blog post: www.earthspecies.org/blog/what-ma... 🧵Read below for more👇

Next week at #IBAC2025, I'll be presenting our latest work on NatureLM-audio in a poster session. 📍If you’ll be in Denmark too, come find me and Sara Keen to explore how large audio language models can be applied to bioacoustic data.

🐋🐦🐸 We just launched an interactive demo of NatureLM-audio on @hf.co! 👉 Try the demo with your audio or ours, share your feedback, and help us shape the future of decoding animal communication: huggingface.co/blog/EarthSp...

📢 We've open-sourced NatureLM-audio, the first audio-language foundation model for #bioacoustics. Trained on large-scale animal vocalization, human speech & music datasets, the model enables zero-shot classification, detection & querying across diverse species & environments 👇🏽

@earthspecies.bsky.social will be at @iclr-conf.bsky.social this week in Singapore to present NatureLM-audio, our foundation model for #bioacoustics. we release code, model, benchmarks earthspecies.github.io/naturelm-aud.... happy to meet folks and talk about AI for conservation, audio, LLMs.

Our self-supervised audio encoder for animal sounds, AVES, is now pip-installable! You can install it via pip and get the embeddings from audio files with a single command. Kudos to our engineering team! github.com/earthspecies...

I am at ICASSP and will be presenting biodenoising on Friday. happy to talk to people interested in bioacoustics,animal communication,cross-domain representation transfer or simply curious about our work at ESP.we just released a new version of biodenoising including self-training on your own data

encantado de participar: el jueves 3 una mesa redonda sobre ecologia sonora y genero

happy to announce that Biodenoising was accepted at ICASSP 2025. this is essentially the equivalent of speech enhancement for non-human vocalizations. it can be easily used in Python with pip install biodenoising.

so happy for this!