@article{1155,
  author = {Larbi Guezouli, Lahcene Guezouli, Hassane Essafi, Med Amine Ouddan},
  title = {Audio Search in a Large Audio Database},
  journal = {Progress in Computing Applications},
  year = {2013},
  volume = {2},
  number = {1},
  doi = {},
  url = {http://www.dline.info/pca/fulltext/v2n1/5.pdf},
  abstract = {This paper proposes a new method of audio indexing and identification. This new method called CASIA (Calculation of Similarity Audio) is composed by two steps: indexing and identification. In the indexing step, each audio document is pre-processed before the extraction of a set of basic audio descriptors, which characterize the temporal and the spectral information. In the identification step, a query subsequence is pre-processed also and a set of audio descriptors is extracted. The comparison between query descriptors and descriptors of the database allows to generating the interference wave. This wave is used to calculate the similarity rate between the query and documents of database.},
}