Self-organizing maps
Spoken Language Processing: A Guide to Theory, Algorithm, and System Development
Spoken Language Processing: A Guide to Theory, Algorithm, and System Development
Time-frequency representations in speech perception
Neurocomputing
Neuromorphic detection of speech dynamics
Neurocomputing
Bio-inspired phonologic processing: from vowel representation spaces to categories
NOLISP'11 Proceedings of the 5th international conference on Advances in nonlinear speech processing
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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.