Ponencia
Live Demonstration: Real-time neuro-inspired sound source localization and tracking architecture applied to a robotic platform
Autor/es | Pérez Peña, Fernando
Cerezuela Escudero, Elena Jiménez Fernández, Ángel Francisco Morgado Estévez, Arturo |
Departamento | Universidad de Sevilla. Departamento de Arquitectura y Tecnología de Computadores |
Fecha de publicación | 2018 |
Fecha de depósito | 2020-01-24 |
Publicado en |
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ISBN/ISSN | 978-1-5386-4881-0 2379-447X |
Resumen | This live demonstration presents a sound source
localization and tracking system implemented with Spike Signal
Processing (SSP) building blocks on FPGA devices. The system
architecture is based on the ability of the ... This live demonstration presents a sound source localization and tracking system implemented with Spike Signal Processing (SSP) building blocks on FPGA devices. The system architecture is based on the ability of the mammalian auditory system to locate the direction of a sound in the horizontal plane using the interaural intensity difference. We used a binaural Neuromorphic Auditory Sensor to obtain spike rates similar to those generated by the inner hair cells of the human auditory system and the component that obtains the interaural intensity difference is inspired by the lateral superior olive. The spike stream that represents the interaural intensity difference is used to turn a robotic platform towards the sound source direction. The system was tested with pure tones (1-kHz, 2.5-kHz and 5- kHz sounds) with an average error of 2.32 degrees. |
Identificador del proyecto | TEC2016-77785-P |
Cita | Pérez Peña, F., Cerezuela Escudero, E., Jiménez Fernández, Á.F. y Morgado Estévez, A. (2018). Live Demonstration: Real-time neuro-inspired sound source localization and tracking architecture applied to a robotic platform. En ISCAS 2018: IEEE International Symposium on Circuits and Systems Florence, Italy: IEEE Computer Society. |
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