Abstract
Artificial speech recognition systems lack certain characteristics needed for maintaining their performance under usual conditions (background noise, continuos speech...etc). Human auditory system has been able to solve these problems through neural evolution. In this paper a bioinspired speech recognition system, which mimic the hierarchical auditory processing is proposed. It will present the desired robustness, accuracy and spectro-temporal generalization.
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© 1999 Springer-Verlag Berlin Heidelberg
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Ferrández, J.M., Rodellar, V., Gómez, P. (1999). A bioinspired hierarchical system for speech recognition. In: Mira, J., Sánchez-Andrés, J.V. (eds) Engineering Applications of Bio-Inspired Artificial Neural Networks. IWANN 1999. Lecture Notes in Computer Science, vol 1607. Springer, Berlin, Heidelberg . https://doi.org/10.1007/BFb0100495
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DOI: https://doi.org/10.1007/BFb0100495
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