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tinyML Asia 2021 Video Poster Bird Hotspots: A tinyML acoustic classification system for ecological insights Hemanth Reddy SABBELLA, Research Assistant at NeuRonICS lab, Indian Institute of Science (IISc) The global bird distribution and abundance are reported by birdwatchers manually going from place to place to e-bird community using a smartphone application. Creating chronological hotspots across landscapes can help to automate the identification of birds and map relevant spaces for birds. In this video poster, we present an in-house developed, low-power neuromorphic acoustic classifier system that uses a novel in-filter computing framework leveraging neuromorphic cochlea as an audio frontend. The framework uses an acoustic feature extractor based on Cascade of Asymmetric Resonators with Inner Hair Cells (CAR-IHC) that can act as SVM (Support Vector Machine) kernel, resulting in template-based SVM. The template SVM classifier is designed to be computationally efficient and can run on resour
