An Approach for Device localization using audio fingerprinting based: on Hierarchical Cluster Analysis - Couverture souple

Matam, Muni Sankar; Gandham, Suresh Babu

Couverture souple

ISBN 10 : 3330033037 ISBN 13 : 9783330033030

Editeur : LAP LAMBERT Academic Publishing, 2017

Synopsis

Audio fingerprinting is defined as a condensed digital summary to establish the equality or similarity of two audio objects. By comparing the fingerprinting of a query fragment of a few seconds with those stored in a fingerprinting database, the system returns matching results and related metadata. Besides this query-by-example application, this technology can also be used to monitor broadcast and detect copyrighted material. Audio fingerprinting is best known for its ability to link unlabeled audio to corresponding meta-data (e.g. artist and song name), regardless of the audio format. Audio fingerprinting or content-based audio identification (CBID) systems extract a perceptual digest of a piece of audio content, i.e. a fingerprint and store it in a database. When presented with unlabeled audio, its fingerprint is calculated and matched against those stored in the database. For the reader new to analysis of data a very short introduction is now provided on hierarchical clustering.

Détails de l'édition

• Éditeur: LAP LAMBERT Academic Publishing
• Date d'édition: 2017
• Langue: anglais
• ISBN 10: 3330033037
• ISBN 13: 9783330033030
• Reliure: Broché
• Nombre de pages: 64
• Coordonnées du fabricant: non disponible
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