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Santiago Renteria is a transdisciplinary researcher working at the intersection of acoustic ecology and machine listening in music. His PhD research focuses on Machine Listening, emphasizing how automation and technical manipulation affect human listening and the (re)production of sonic environments across arts and sciences. Through generative deep learning and spatial audio, Santiago explores the use of wildlife sound archives in the context of species de-extinction and biodiversity monitoring. His innovative projects highlight the influence of deep learning technologies and economic forces on listening practices. He has showcased his creative work across renowned platforms in Australia and Mexico, including the Australia Festival and Laboratorio de Arte Alameda. Santiago holds a Master's degree in Computer Science and a Bachelor's degree in Music & Audio Engineering, both from Instituto Tecnologico de Estudios Superiores de Monterrey. As an expert in Artificial Intelligence, Sound Studies, and Environmental Humanities, he contributes to the transdisciplinary understanding of the sonosphere and the multiplicity of listening experiences.
University of Western Australia • Perth
Researcher focusing on machine listening and its intersection with acoustic ecology.
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