Title :
A ranking technique for fast audio identification
Author_Institution :
Dept. of Comput. Sci. III, Bonn Univ., Germany
Abstract :
We introduce a novel ranking technique for fast and robust audio identification. In this approach, identification is performed by evaluating certain parts of correlation sequences. Starting form a general framework for content-based audio identification, we show to integrate our new algorithm into a fast index-based search algorithm. We demonstrate the capabilities of our approach by considering the tasks of identifying highly distorted audio material and search fragments in large scale MP3 data bases.
Keywords :
audio databases; audio signal processing; feature extraction; query formulation; MP3 data base; content-based audio identification; correlation sequence; distorted audio material; fast audio identification; index-based search algorithm; ranking technique; Computer science; Content management; Digital audio players; Feature extraction; Large-scale systems; Performance evaluation; Robustness; Signal processing; Telephony; Testing;
Conference_Titel :
Multimedia Signal Processing, 2002 IEEE Workshop on
Print_ISBN :
0-7803-7713-3
DOI :
10.1109/MMSP.2002.1203278
