Resumen

This article follows step by step a general framework for fingerprint extraction in order to develop a system for advertisements' monitoring. The parameterization process uses some spatial and spectral characteristics measured over 600 advertisements that contain various types of sounds. Key factors such as accuracy, process time, and granularity are analyzed together in order to enhance the system performance. At the end, the algorithm shows an accuracy of 99% using three seconds of granularity samples, and also the best compromise between processing time and performance is achieved. This study suggests a set of parameterization steps which could be successfully implemented in other related audio applications.

Idioma originalInglés
Título de la publicación alojada2017 IEEE 2nd Ecuador Technical Chapters Meeting, ETCM 2017
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas1-6
Número de páginas6
ISBN (versión digital)9781538638941
DOI
EstadoPublicada - 4 ene. 2018
Evento2nd IEEE Ecuador Technical Chapters Meeting, ETCM 2017 - Salinas, Ecuador
Duración: 16 oct. 201720 oct. 2017

Serie de la publicación

Nombre2017 IEEE 2nd Ecuador Technical Chapters Meeting, ETCM 2017
Volumen2017-January

Conferencia

Conferencia2nd IEEE Ecuador Technical Chapters Meeting, ETCM 2017
País/TerritorioEcuador
CiudadSalinas
Período16/10/1720/10/17

Huella

Profundice en los temas de investigación de 'Audio fingerprint parameterization for multimedia advertising identification'. En conjunto forman una huella única.

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