Abstract

Some key technologies for clustering the radio advertising are introduced firstly. Then the design and implementation of the system are presented. The system analyzes the cluster characters for radio advertising by principal component analysis. It could be used to capture the radio ads’ time slots. This system shows a way to analyze audio data, and could be used to classify and identify different audio ads. Therefore, it has a wonderful application prospect.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.