Abstract
In our study, it is aimed to develop a system using an audio fingerprinting technique, which is used on through their smart phones to identify the commercials played on TV or radio. Thus, users can reach the information about the commercials faster than regular text searching. To achieve this goal, firstly an audio fingerprinting algorithm is developed to find the peaks in the spectrogram and generate the corresponding hashes. In addition to this, three parameters, 1) hash decrease coefficient, 2) matching rate and 3) power rate are introduced, their optimal values are presented and the proposed system is tested with music and commercial databases under various degradations. It is confirmed that hash count and matching duration are decreased, and recall and precision are improved.
Translated title of the contribution | Commercial identification using audio fingerprinting |
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Original language | Turkish |
Title of host publication | 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 427-430 |
Number of pages | 4 |
ISBN (Electronic) | 9781467373869 |
DOIs | |
Publication status | Published - 19 Jun 2015 |
Event | 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Malatya, Turkey Duration: 16 May 2015 → 19 May 2015 |
Publication series
Name | 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings |
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Conference
Conference | 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 |
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Country/Territory | Turkey |
City | Malatya |
Period | 16/05/15 → 19/05/15 |
Bibliographical note
Publisher Copyright:© 2015 IEEE.