Abstract
A comprehensive view of speech and voice technologies is now demanding better and more complex tools amenable of extracting as much knowledge about sound and speech as possible. Many knowledge-extraction tasks from speech and voice share well-known procedures at the algorithmic level under the point of view of bio-inspiration. The same resources employed to decode speech phones may be used in the characterization of the speaker (gender, age, speaking group, etc.). Based on these facts the present paper examines a hierarchy of sound processing levels at the auditory and perceptual levels on the brain neural paths which can be translated into a bio-inspired audio-processing architecture. Through this paper its fundamental characteristics are analyzed in relation with current tendencies in cognitive audio processing. Examples extracted from speech processing applications in the domain of acoustic-phonetics are presented. These may find applicability in speaker’s characterization, forensics, and biometry, among others.
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Gómez-Vilda, P., Ferrández-Vicente, J.M., Rodellar-Biarge, V., Álvarez-Marquina, A., Mazaira-Fernández, L.M. (2007). A Bio-inspired Architecture for Cognitive Audio. In: Mira, J., Álvarez, J.R. (eds) Bio-inspired Modeling of Cognitive Tasks. IWINAC 2007. Lecture Notes in Computer Science, vol 4527. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73053-8_14
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DOI: https://doi.org/10.1007/978-3-540-73053-8_14
Publisher Name: Springer, Berlin, Heidelberg
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