Event Based Time-Vectors for auditory features extraction: a
neuromorphic approach for low power audio recognition

Event Based Time-Vectors for auditory features extraction: a neuromorphic approach for low power audio recognition

13 December 2021

Juan P. Dominguez-Morales

Angel Jimenez-Fernandez

Papers citing "Event Based Time-Vectors for auditory features extraction: a neuromorphic approach for low power audio recognition"

3 / 3 papers shown

Title
Sup3r: A Semi-Supervised Algorithm for increasing Sparsity, Stability, and Separability in Hierarchy Of Time-Surfaces architectures Marco Rasetto Himanshu Akolkar R. Benosman 3DH 36 0 0 15 Apr 2024
Event-driven Spectrotemporal Feature Extraction and Classification using a Silicon Cochlea Model Ying Xu S. Perera Y. Bethi Saeed Afshar André van Schaik 19 7 0 14 Dec 2022
Interfacing PDM MEMS microphones with PFM spiking systems: Application for Neuromorphic Auditory Sensors Angel Jimenez-Fernandez Daniel Gutierrez-Galan A. Rios-Navarro Juan Pedro Dominguez-Morales Gabriel Jimenez-Moreno 24 3 0 30 Apr 2019