Study for Speaker Identification Under Reverberation Effect | ||||
| Menoufia Journal of Electronic Engineering Research | ||||
| Article 1, Volume 28, ICEEM2019-Special Issue, 2019, Page 1-7 | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/mjeer.2019.64932 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| Mohamad Monir* ; M. M. Nassar; Adel El-Fishawy; Mohamad Zein El-Din; Moawad Dessouky; El-sayed El-Rabaie; Fathi El-Samie | ||||
| Communications and Electronics Department Faculty of Electronic Engineering,Manoufia University: Menouf, Egypt | ||||
| Abstract | ||||
| Speech is the way people interact with each other. With the development of computer technology, some researchers have sought to find techniques that allow the computer to understand natural speech. Smart systems are now trying to imitate the functions of the human brain by using neural networks. Reverberation represents interference noise on the original speech signal. The aim of the research is investigate of reverberation effect on speech signal and whether it affects the identification of the speaker or not to determine the best scenario for identifying the speaker in the presence of reverberation. This study is done using feature extraction with Mel-Frequency Capstral coefficients (MFCCs) and neural networks. | ||||
| Keywords | ||||
| speaker recognition system; Mel Frequency Cepstral Coefficients; Registration Mode; Identification Mode; reverberation; artificial neural network | ||||
| References | ||||
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