Retrieval of phonemes and Kohonen algorithm
Brunello Tirozzi Orchidea Maria Lecian
A phoneme-retrieval technique is proposed, which is due to the particular way
of the construction of the network. An initial set of neurons is given. The
number of these neurons is approximately equal to the number of typical
structures of the data. For example if the network is built for voice retrieval
then the number of neurons must be equal to the number of characteristic
phonemes of the alphabet of the language spoken by the social group to which
the particular person belongs. Usually this task is very complicated and the
network can depend critically on the samples used for the learning. If the
network is built for image retrieval then it works only if the data to be
retrieved belong to a particular set of images. If the network is built for
voice recognition it works only for some particular set of words. A typical
example is the words used for the flight of airplanes. For example a command
like the "airplane should make a turn of 120 degrees towards the east" can be
easily recognized by the network if a suitable learning procedure is used.