DocumentCode
1968461
Title
Audio patterns searching and retrieval
Author
Gubka, Róbert ; Kuba, Michal
Author_Institution
Dept. of Telecommun. & Multimedia, Univ. of Zilina, Žilina, Slovakia
fYear
2011
fDate
19-20 April 2011
Firstpage
1
Lastpage
3
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Radioelektronika (RADIOELEKTRONIKA), 2011 21st International Conference
Conference_Location
Brno
Print_ISBN
978-1-61284-325-4
Type
conf
DOI
10.1109/RADIOELEK.2011.5936407
Filename
5936407
Link To Document