Welcome to the InfoSci Platform
Neuromorphic Speech Processing: Objectives and Methods

Neuromorphic Speech Processing: Objectives and Methods

Pedro Gómez-Vilda, José Manuel Ferrández-Vicente, Victoria Rodellar-Biarge, Rafael Martínez-Olalla, Víctor Nieto-Lluis, Luis Mazaira-Fernández, Cristina Miguel Muñoz-Mulas
Copyright: © 2011 |Pages: 27
ISBN13: 9781615209194|ISBN10: 1615209190|EISBN13: 9781615209200
DOI: 10.4018/978-1-61520-919-4.ch019
Cite Chapter Cite Chapter

MLA

Gómez-Vilda, Pedro, et al. "Neuromorphic Speech Processing: Objectives and Methods." Machine Audition: Principles, Algorithms and Systems, edited by Wenwu Wang, IGI Global, 2011, pp. 447-473. https://doi.org/10.4018/978-1-61520-919-4.ch019

APA

Gómez-Vilda, P., Ferrández-Vicente, J. M., Rodellar-Biarge, V., Martínez-Olalla, R., Nieto-Lluis, V., Mazaira-Fernández, L., & Muñoz-Mulas, C. M. (2011). Neuromorphic Speech Processing: Objectives and Methods. In W. Wang (Ed.), Machine Audition: Principles, Algorithms and Systems (pp. 447-473). IGI Global. https://doi.org/10.4018/978-1-61520-919-4.ch019

Chicago

Gómez-Vilda, Pedro, et al. "Neuromorphic Speech Processing: Objectives and Methods." In Machine Audition: Principles, Algorithms and Systems, edited by Wenwu Wang, 447-473. Hershey, PA: IGI Global, 2011. https://doi.org/10.4018/978-1-61520-919-4.ch019

Export Reference

Mendeley
Favorite

Abstract

Current trends in the search for improvements in well-established technologies imitating human abilities, as speech perception, try to find inspiration in the explanation of certain capabilities hidden in the natural system which are not yet well understood. A typical case is that of speech recognition, where the semantic gap going from spectral time-frequency representations to the symbolic translation into phonemes and words, and the construction of morpho-syntactic and semantic structures find many hidden phenomena not well understood yet. The present chapter is intended to explore some of these facts at a simplifying level under two points of view: that of top-down analysis provided from speech perception, and the symmetric from bottom-up synthesis provided by the biological architecture of auditory pathways. An application-driven design of a Neuromorphic Speech Processing Architecture is presented and its performance analyzed. Simulation details provided by a parallel implementation of the architecture in a supercomputer will be also shown and discussed.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.