March 7, 2024, 5:48 a.m. | Jorge \'Alvarez, Juan Carlos Armenteros, Camilo Torr\'on, Miguel Ortega-Mart\'in, Alfonso Ardoiz, \'Oscar Garc\'ia, Ignacio Arranz, \'I\~nigo Galdeano

cs.CL updates on arXiv.org arxiv.org

arXiv:2403.03538v1 Announce Type: cross
Abstract: Radio advertising remains an integral part of modern marketing strategies, with its appeal and potential for targeted reach undeniably effective. However, the dynamic nature of radio airtime and the rising trend of multiple radio spots necessitates an efficient system for monitoring advertisement broadcasts. This study investigates a novel automated radio advertisement detection technique incorporating advanced speech recognition and text classification algorithms. RadIA's approach surpasses traditional methods by eliminating the need for prior knowledge of the …

abstract advertisement advertising analytics arxiv cs.ai cs.cl cs.sd detection dynamic eess.as however integral intelligent marketing modern monitoring multiple nature part radio strategies study trend type

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