Automatic Speaker Identification by Voice Based on Vector Quantization Method
Mamatov Narzillo1, Samijonov Abdurashid2, Nurimov Parakhat3, Niyozmatova Nilufar4
1Mamatov Narzillo*, Scientific and Innovation Center of Information and Communication Technologies at TUIT named after Al-Kharezmi, Tashkent, Uzbekistan,
2Samijonov Abdurashid, Bauman Moscow State Technical University, Russia Federation
3Nurimov Parakhat, Scientific and Innovation Center of Information and Communication Technologies at TUIT named after Al-Kharezmi, Tashkent, Uzbekistan
3Niyozmatova Nilufar, Scientific and Innovation Center of Information and Communication Technologies at TUIT named after Al-Kharezmi, Tashkent, Uzbekistan
Manuscript received on 02 July 2019 | Revised Manuscript received on 09 July 2019 | Manuscript published on 30 August 2019 | PP: 2443-2445 | Volume-8 Issue-10, August 2019 | Retrieval Number: J95230881019/2019©BEIESP | DOI: 10.35940/ijitee.J9523.0881019
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: NIn this paper, the systems of speaker identification of a text-dependent and independent nature were considered. Feature extraction was performed using chalk-frequency cepstral coefficients (MFCC). The vector quantization method for the automatic identification of a person by voice has been investigated. Using the extracted features, the code book from each speaker was built by clustering the feature vectors. Speakers were modeled using vector quantization (VQ). Using the extracted features, the code book from each speaker was built by clustering the feature vectors. Codebooks of all announcers were collected in the database. From the results, it can be said that vector quantization using cepstral features produces good results for creating a voice recognition system.
Keywords: cepstral coefficient, criteria, feature, identification, method, model, phoneme, probability, signal, speech.
Scope of the Article: Multimedia Communications