DocumentCode :
3144920
Title :
Audio event detection from acoustic unit occurrence patterns
Author :
Kumar, Anurag ; Dighe, Pranay ; Singh, Rita ; Chaudhuri, Sourish ; Raj, Bhiksha
Author_Institution :
Indian Inst. of Technol., Kanpur, India
fYear :
2012
fDate :
25-30 March 2012
Firstpage :
489
Lastpage :
492
Abstract :
In most real-world audio recordings, we encounter several types of audio events. In this paper, we develop a technique for detecting signature audio events, that is based on identifying patterns of occurrences of automatically learned atomic units of sound, which we call Acoustic Unit Descriptors or AUDs. Experiments show that the methodology works as well for detection of individual events and their boundaries in complex recordings.
Keywords :
audio recording; audio signal processing; pattern recognition; AUD; acoustic unit descriptors; acoustic unit occurrence patterns; atomic units; audio event detection; audio recordings; pattern identification; Acoustics; Audio recording; Event detection; Hidden Markov models; Noise; Training; Vectors; AUDs; Acoustic event detection; Acoustic unit descriptors; Audio analysis; Audio retrieval;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
Conference_Location :
Kyoto
ISSN :
1520-6149
Print_ISBN :
978-1-4673-0045-2
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2012.6287923
Filename :
6287923
Link To Document :
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