Audio event detection based on layered symbolic sequence representations

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2012, Pages 1953-1956

  Lai Chin, Michele ^a   Burred, Juan José ^a  

^a Audionamix   (France)

Author keywords

Audio event detection; motif discovery; symbolic representations

Indexed keywords

AUDIO EVENT DETECTION; ENVIRONMENTAL SOUNDS; MOTIF DISCOVERY; NOVEL APPLICATIONS; ONSET DETECTION; SPECTRAL EVOLUTION; SPECTRAL SHAPES; SYMBOLIC REPRESENTATION; SYMBOLIC SEQUENCE; TEMPORAL MODELS;

SIGNAL PROCESSING;

AUDIO ACOUSTICS;

EID: 84867605240     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2012.6288288     Document Type: Conference Paper

References (4)

1. P. D'haeseleer, "How does DNA sequence motif discovery work?," Nature Biotechnology, vol. 24, pp. 959-961, 2006.
2. A. Ewert, S. Müller, and R.B. Dannenberg, "Towards reliable partial music alignments using multiple synchronization strategies," in Proc. Int. Conf. on Adaptive Multimedia Retrieval (AMR), Madrid, Spain, 2009.
3. J.J. Burred, "Genetic motif discovery applied to audio analysis," in Proc. IEEE Int. Conf. on Audio, Speech and Signal Processing (ICASSP), Kyoto, Japan, March 2012.
4. T.L. Bailey and C. Elkan, "Fitting a mixture model by expectation maximization to discover motifs in biopolymers," in Proc. Int. Conf. on Intelligent Systems for Molecular Biology, 1994.