Title :
Audio patterns searching and retrieval
Author :
Gubka, Róbert ; Kuba, Michal
Author_Institution :
Dept. of Telecommun. & Multimedia, Univ. of Zilina, Žilina, Slovakia
Abstract :
Pattern searching and retrieval plays important role in task of content-based audio analysis for requirements of media database management or in surveillance systems for detecting significant audio events and keywords. In the paper, we present algorithm for spotting audio patterns in record, using Hidden Markov Models and Viterbi decoder. Also, two types of probability normalization are presented and compared. Performance of proposed algorithm was evaluated on database of slovak spoken numbers.
Keywords :
Viterbi decoding; audio coding; content-based retrieval; hidden Markov models; probability; Viterbi decoder; audio pattern retrieval; audio pattern searching; hidden Markov model; media database management; surveillance system; Computational modeling; Data models; Decoding; Hidden Markov models; Mathematical model; Speech; Training; audio modeling; pattern retrieval; sequence decoding;
Conference_Titel :
Radioelektronika (RADIOELEKTRONIKA), 2011 21st International Conference
Conference_Location :
Brno
Print_ISBN :
978-1-61284-325-4
DOI :
10.1109/RADIOELEK.2011.5936407
