Speaker recognition for wire wireless communication systems

الملخص EN

Recently data communication spread to the mobile wireless world.

The complexity of medium and large speech & speaker recognition systems are beyond the memory and computational resources of the small portable devices.

Moreover, the most common approach to speaker recognition today is the use of global Gaussian Mixture Models (GMM) which ignores knowledge of the underlying phonetic content of the speech, so it does not take advantage of all available information.

In this paper we address the solution of these two problems by investigating the phoneme effect on speaker recognition system.

We used YOHO database for speaker identification task.

We found that some phonemes have strong effect on speaker identification.

Segmenting the most effective phoneme for speaker recognition task from a speaker utterance and send this phoneme only through the wireless communication system will decrease the complexity of medium and speed up the authentication process though mobile communication system.

We have applied different approaches on YOHO corpus, several of these approaches were able outperform previously published results on the speaker ID task.

One of our approaches could achieve 0.7% error rate by using only an average segment of 4.45% of the testing utterance for recognition.