Audio and audio-pattern recognition is becoming one of the most important technologies to automatically control embedded systems. Fuzzy logic may be the most important enabling methodology due to its ability to rapidly and economically model such application. An audio and audio-pattern recognition engine based on fuzzy logic has been developed for use in very low-cost and deeply embedded systems to automate human-to-machine and machine-to-machine interaction. This engine consists of simple digital signal-processing algorithms for feature extraction and normalization, and a set of pattern-recognition rules manually tuned or automatically tuned by a self-learning process.
Fuzzy Logic-Based Audio Pattern Recognition / M.N. Malcangi (AIP CONFERENCE PROCEEDINGS). - In: International Electronic Conference on Computer Science, 28 June-8 July 2007 and 30 November-10 December 2007 / [a cura di] T.E. Simos, G. Psihoyios. - Melville : American Institute of Physics, 2008. - ISBN 978-0-7354-0590-5. - pp. 225-228 (( convegno International e-Conference on Computer Science tenutosi a web nel 2007.
Fuzzy Logic-Based Audio Pattern Recognition
M.N. MalcangiPrimo
2008
Abstract
Audio and audio-pattern recognition is becoming one of the most important technologies to automatically control embedded systems. Fuzzy logic may be the most important enabling methodology due to its ability to rapidly and economically model such application. An audio and audio-pattern recognition engine based on fuzzy logic has been developed for use in very low-cost and deeply embedded systems to automate human-to-machine and machine-to-machine interaction. This engine consists of simple digital signal-processing algorithms for feature extraction and normalization, and a set of pattern-recognition rules manually tuned or automatically tuned by a self-learning process.
Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
