Abstract
Traditional audio retrieval systems deal principally with audio clips having text descriptions. To retrieve unannotated audio clips is cumbersome because of the immaturity of content-based analysis and retrieval techniques. In this paper, we propose a two-stage audio retrieval method, consisting of a first stage of text-based retrieval and a second stage of content-based retrieval. This new retrieval method can be employed to retrieve audio clips from an audio collection having only partial text annotations, which is true of many online audio datasets. We have developed a prototype audio retrieval system based on our algorithm and carefully evaluated its performance. The results demonstrate the effectiveness of our new audio retrieval method. Our method can be generalized and applied to other kinds of non-textual data such as images and videos.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
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.