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

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.
Type de document :
Communication dans un congrès
Lazaros Iliadis; Chrisina Jayne. 12th Engineering Applications of Neural Networks (EANN 2011) and 7th Artificial Intelligence Applications and Innovations (AIAI), Sep 2011, Corfu, Greece. Springer, IFIP Advances in Information and Communication Technology, AICT-363 (Part I), pp.122-129, 2011, Engineering Applications of Neural Networks. 〈10.1007/978-3-642-23957-1_14〉
Liste complète des métadonnées

Littérature citée [11 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-01571360
Contributeur : Hal Ifip <>
Soumis le : mercredi 2 août 2017 - 11:41:49
Dernière modification le : vendredi 1 décembre 2017 - 01:16:23

Fichier

978-3-642-23957-1_14_Chapter.p...
Fichiers produits par l'(les) auteur(s)

Licence


Distributed under a Creative Commons Paternité 4.0 International License

Identifiants

Citation

Mario Malcangi. Employing Smart Logic to Spot Audio in Real Time on Deeply Embedded Systems. Lazaros Iliadis; Chrisina Jayne. 12th Engineering Applications of Neural Networks (EANN 2011) and 7th Artificial Intelligence Applications and Innovations (AIAI), Sep 2011, Corfu, Greece. Springer, IFIP Advances in Information and Communication Technology, AICT-363 (Part I), pp.122-129, 2011, Engineering Applications of Neural Networks. 〈10.1007/978-3-642-23957-1_14〉. 〈hal-01571360〉

Partager

Métriques

Consultations de la notice

21

Téléchargements de fichiers

8