Audio mining is currently the subject of several research efforts, especially because of its potential to speed up search for spoken words in audio recordings. This study explores a method for approaching the problem from the bottom. It proposes a framework based on smart logic, mainly fuzzy logic, and on an audio model applicable to any kind of audio recording, including music.

Employing smart logic to spot audio in real time on deeply embedded systems / M. Malcangi - In: Engineering applications of neural networks : 12th international conference, EANN 2011 and 7th IFIP WG 12.5 international conference, AIAI 2011, Corfu, Greece, september 15-18, 2011 : Proceedings, Part I / [a cura di] L. Iliadis, C. Jayne. - Berlin : Springer, 2011. - ISBN 9783642239564. - pp. 122-129 (( Intervento presentato al 12. convegno International Conference on Engineering Applications of Neural Networks tenutosi a Corfù - Greece nel 2011 [10.1007/978-3-642-23957-1_14].

Employing smart logic to spot audio in real time on deeply embedded systems

M. Malcangi
Primo
2011

Abstract

Audio mining is currently the subject of several research efforts, especially because of its potential to speed up search for spoken words in audio recordings. This study explores a method for approaching the problem from the bottom. It proposes a framework based on smart logic, mainly fuzzy logic, and on an audio model applicable to any kind of audio recording, including music.
Audio mining ; audio spotting, fuzzy logic ; phone unit ; spoken term detection ; phonetic search ; keyword-spotting
Settore INF/01 - Informatica
2011
Book Part (author)
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/166166
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