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Employing Smart Logic to Spot Audio in Real Time on Deeply Embedded Systems

Mario Malcangi 1
1 DICO - Dipartimento di Informatica e Comunicazione
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.
Keywords : Audio mining audio spotting fuzzy logic phone unit spoken term detection phonetic search keyword-spotting
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IFIP | IFIP-AICT | IFIP-TC12 | IFIP-AIAI | IFIP-WG12-5 | IFIP-AICT-363 | IFIP-WG | IFIP-TC

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Mario Malcangi. Employing Smart Logic to Spot Audio in Real Time on Deeply Embedded Systems. 12th Engineering Applications of Neural Networks (EANN 2011) and 7th Artificial Intelligence Applications and Innovations (AIAI), Sep 2011, Corfu, Greece. pp.122-129, ⟨10.1007/978-3-642-23957-1_14⟩. ⟨hal-01571360⟩

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