التعرف على جنس المتكلم بالاعتماد على إشارة الصوت

الملخص

In this paper algorithm has been proposed to identify the speaker's
gender based on the signal of her sound. This algorithm relied on
deriving the features of speaker's signal in order to gain a representation
of this signal and to get benefit from those features in establishing data
base that includes the identity of the speaker as well as the drawn
features and her gender.
This paper present an algorithm confirm the speaker’s gender. The
Fourier transformation is adopted here in order to derive some of the
factors that depend upon the Fourier transformation factors where those
factors have been adjusted to gain an equality of the 15th degree that is
too close to the speaker's signal after transforming it to Fourier
transformation.
The practical application reveals that the amount of the approach
of the derived equality is not affected by the equality degree of the
polynomial after the 15th degree. This algorithm has been applied on a
sample of more than 50 speakers of different groups of age of the two
genders where three words of each speaker have been gained then those
words are transformed to Fourier transformation where the rate is
calculated after adjusting the signal into polynomial of 15th degree.
The derived values will be stored after arranging them in
decreasing way to be features by which the speaker's gender can be
recognized. The practical application of the proposed algorithm resulted
in getting on distinction ratio approaches to 72% out of 20 samples. The
approaching factor is employed to determine has to do with the
distinction ratio.