Isolated word recognition with the Liquid State Machine: a case study

DOI10.1016/j.ipl.2005.05.019zbMath1184.68257OpenAlexW1986964674MaRDI QIDQ1044682

D. Verstraeten, D. Stroobandt, Benjamin Schrauwen, Jan Van Campenhout

Publication date: 18 December 2009

Published in: Information Processing Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ipl.2005.05.019

zbMATH Keywords

parallel processingspeech recognitionspiking neural networksliquid state machine

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Modes of computation (nondeterministic, parallel, interactive, probabilistic, etc.) (68Q10) Pattern recognition, speech recognition (68T10)

Related Items (9)

Online reservoir adaptation by intrinsic plasticity for backpropagation-decorrelation and echo state learning ⋮ An experimental unification of reservoir computing methods ⋮ Noise-Robust Speech Recognition Through Auditory Feature Detection and Spike Sequence Decoding ⋮ Reservoir computing approaches to recurrent neural network training ⋮ Connectivity, Dynamics, and Memory in Reservoir Computing with Binary and Analog Neurons ⋮ A Theoretical Basis for Emergent Pattern Discrimination in Neural Systems Through Slow Feature Extraction ⋮ Accelerating Event-Driven Simulation of Spiking Neurons with Multiple Synaptic Time Constants ⋮ Learning with Precise Spike Times: A New Decoding Algorithm for Liquid State Machines ⋮ Delayed dynamical systems: networks, chimeras and reservoir computing

Uses Software

• Sphinx-4

Cites Work

• On the computational power of circuits of spiking neurons
• Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations
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