Title :
AMADEUS: a scalable HMM-based audio information retrieval system
Author :
Batlle, Eloi ; Masip, Jaume ; Guaus, Enric
Author_Institution :
Inst. of Audiovisual, Universitat Pompeu Fabra, Barcelona, Spain
Abstract :
The new transmission and storage technologies now available have put together a vast amount of digital audio. All this audio is ready and easy to transfer but it might be useless with a clear knowledge of its content as metadata attached to it. This knowledge can be manually added but this is not feasible for millions of on-line files. In this paper we present a method to automatically derive acoustic information about audio files and a technology to classify and retrieve audio examples.
Keywords :
acoustic signal processing; audio signal processing; feature extraction; hidden Markov models; information retrieval; meta data; signal classification; AMADEUS; HMM audio information retrieval system; acoustic information; audio files; digital audio; hidden Markov model; Content based retrieval; Content management; Fingerprint recognition; Hidden Markov models; Information retrieval; Music information retrieval; Pattern matching; Robustness; Technology management; Watermarking;
Conference_Titel :
Control, Communications and Signal Processing, 2004. First International Symposium on
Print_ISBN :
0-7803-8379-6
DOI :
10.1109/ISCCSP.2004.1296517
