Award-winning artist Melanie Wilson collaborates with an AI machine learning tool to explore the conflicted terrain of human and animal relationships through sound.

This poetic, intricate listening experience weaves together language, multi-part vocal composition, field recording and electronic sound to map the fragmentary experience of the biodiversity crisis with kaleidoscopic force.

Created using endangered animal voices from the UK and beyond, the score was developed through a five-year research process into machine learning for composition, supported by PRiSM, The Centre for Practice and Research in Science and Music, at the Royal Northern College of Music.

Oracle Song seeks to take the audience from a place of climate anxiety and grief into a shared landscape of listening and connection.