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Published in:
2011 | OriginalPaper | Chapter
Neuromorphic Detection of Vowel Representation Spaces
Authors : Pedro Gómez-Vilda, José Manuel Ferrández-Vicente, Victoria Rodellar-Biarge, Agustín Álvarez-Marquina, Luis Miguel Mazaira-Fernández, Rafael Martínez-Olalla, Cristina Muñoz-Mulas
Published in: New Challenges on Bioinspired Applications
Publisher: Springer Berlin Heidelberg
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In this paper a layered architecture to spot and characterize vowel segments in running speech is presented. The detection process is based on neuromorphic principles, as is the use of Hebbian units in layers to implement lateral inhibition, band probability estimation and mutual exclusion. Results are presented showing how the association between the acoustic set of patterns and the phonologic set of symbols may be created. Possible applications of this methodology are to be found in speech event spotting, in the study of pathological voice and in speaker biometric characterization, among others.