Voice recognition includes two basic parts: speech and speaker recognition. These
recognition processes consider as the most important processes of modern technologies,
many systems has been developed that differ in the methods used to extract feat
ures and
classification ways to support recognition systems of this type.
The study was conducted in this research on the previous subject, where the system
is designed to recognize the speaker and his voice orders and focus on several
complementary algorithms to carry out the research. we conducted an analytical study on
MFCC algorithm used in the extraction of features, and it has been studying two
parameters the number of filters in the filters bank and the number of features that taken
from each frame and the impact of these two parameters in the recognition rate and the
relationship of these two parameters on each other. It was the use of feed forwarding back
propagation neural networks performance analysis as characteristics and we analyze the
performance of the network to gain access to the best features and components to the
process of achieving recognition. And it has been studying Endpoint algorithm that used
to remove periods of silence and its impact on voice recognition rates.
The leadership traits is one of the distinguished characteristics of the personality of
the soccer referee that help him perform his duties in the game under the multiple pressures
circumstances, so it was to identify the relation between the these
features and the referee's
performance may help to raise the level of performance which is the main objective of this
study that applied to 24 international and federal Syrian soccer referees, the descriptive
method of correlation study style is used.
The study concludes that the degree of leadership traits of the referees is a high
degree. The study also found that socialization feature is the most successful one, and that
the performance of the referees' degree is very good the study also concludes that there is a
positive insignificant correlation between the degrees of leadership traits and the degree of
performance.