For classical Philips audio retrieval, the short duration and the long silent period in inserted template audio make a major challenge to the robustness in actual environments. In this study, a novel audio retrieval method is proposed to handle the challenge by modifying both the fingerprinting stage and the matching stage. While extracting audio fingerprints, the silent segments are firstly detected. Then, a specific fingerprint is arranged to the silent segments for distinguishment. In the matching stage, a window-by-window search is performed to figure out the inserted audio templates. Moreover, the searching window is divided into several segments for precise comparison between the template audio and the test audio. A testing dataset is made by randomly arranging the duration of the inserted template audio to be from 3 to 5 s. Experiment results show that mean average precision and recall are significantly improved by the proposed method.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.