Sadique Sheik

Position:
PhD Student -- ended Aug 2013
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acoustic SCene ANalysis for Detecting Living Entities

In this project we propose to develop a cognitive acoustic scene analysis system that is able to synthesize composite representations of animate entities and their behavior by integrating information from active and passive sound signatures. The system is an acoustic analogy to a camera-based visual scene analysis system, particularly suited to detecting the presence and characterising the behaviour of living entities in the environment. The biologically inspired architecture and processing mechanisms of the proposed system support autonomous real-time context-dependent operation, allowing it to parse complex mixtures of sounds into meaningful units and categorize them.

Publications

2014

  • Coath, M. and Sheik, S. and Chicca, E. and Indiveri, G. and Denham, S.L. and Wennekers, T. A robust sound perception model suitable for neuromorphic implementation., Frontiers in Neuroscience, 7:(278), 2014
  • Stefanini, Fabio and Neftci, Emre O. and Sheik, Sadique and Indiveri, Giacomo PyNCS: a microkernel for high-level definition and configuration of neuromorphic electronic systems, Frontiers in Neuroinformatics, 8:(73), 2014

2013

  • Sheik, S and Pfeiffer, M and Stefanini, F and Indiveri, G Spatio-temporal Spike Pattern Classification in Neuromorphic Systems, Biomimetic and Biohybrid Systems 262-273, 2013

2012

2011

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