Abstract
This paper proposes a novel two-step search strategy for an audio information retrieval system: a coarse search followed by an exact search. At the core of the proposed audio information retrieval system is an audio fingerprint (AF) extraction scheme based on modified discrete cosine transform (MDCT), which enables searching a large audio database with only limited computing resources and high robustness in the presence of noise. Experimental results show that the proposed AF extraction algorithm is more robust than the Philips' AF extraction algorithm, the bit error rate (BER) is decreased 35%; the search algorithm is precise even in a noisy environment, the recall rate and precision rate are both increased 5%, and the search time is only 70% of Philips' matching algorithm.
Sign-in/Register to access full text options 
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 callDisclaimer: 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.
