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- Title
A New Spike Membership Function for the Recognition and Processing of Spatiotemporal Spike Patterns: Syllable-Based Speech Recognition Application.
- Authors
Ramírez-Mendoza, Abigail María Elena; Yu, Wen; Li, Xiaoou
- Abstract
This paper introduces a new spike activation function (SPKAF) or spike membership function for fuzzy adaptive neurons (FAN), developed for decoding spatiotemporal information with spikes, optimizing digital signal processing. A solution with the adaptive network-based fuzzy inference system (ANFIS) method is proposed and compared with that of the FAN-SPKAF model, obtaining very precise simulation results. Stability analysis of systems models is presented. An application to voice recognition using solfeggio syllables in Spanish is performed experimentally, comparing the methods of FAN-step activation function (STEPAF)-SPKAF, Augmented Spiking Neuron Model, and Augmented FAN-STEPAF-SPKAF, achieving very good results.
- Subjects
MEMBERSHIP functions (Fuzzy logic); SPEECH perception; SPATIOTEMPORAL processes; AUTOMATIC speech recognition; FUZZY logic; FUZZY systems
- Publication
Mathematics (2227-7390), 2023, Vol 11, Issue 11, p2525
- ISSN
2227-7390
- Publication type
Article
- DOI
10.3390/math11112525