As the use of sounds for computer interfaces, electronic equipment and
multimedia contents, has increased, the role of sound design tools has become
more important. In sound retrieval, picking one sound out from huge data is
troublesome for users because of the difficulty of simultaneously listening to plural
sounds and sometimes there are difficulties with speech and sound recognition.
Consequently, an efficient retrieval method is required for sound databases.
This research proposes a system aim to deal with sound retrieval in both two
cases: authenticity and normal. In the first case, authenticity, two algorithms has
been develop one for building the authentication database and the second deal with
user sound sample to retrieve the matched authenticated samples. In the second
case normal we develop algorithm to deal with user sound sample to retrieve all the
matched samples. Many techniques used in this proposed system such as Artificial
Neural Network (ANN), Data Encryption Standard (DES), Multi Agent System
(MAS) and Fourier transformation (FT). Using these combinations of advanced
and adaptive techniques supports the system to be reliable, secure and parallel.