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Abstract
Ushbu maqolada nutq signallari va ularning qayta ishlash bosqichlari, qayta ishlash bosqichlarida yuzaga kelishi mumkin bo‘lgan holatlar hamda nutq signali xususiyatlarida foydalangan holda mashinali o‘qitish algoritmlari asosida identifikatsiya qilishdan iborat ishlar keltirilgan. Ishdan shuningdek signal xususiyatlarining ko‘rsatgichlari, ularning qo‘llanilishi ham aks etgan. Natijalar jadval ko‘rinishida ifodalangan.
References
Абдуллаева М.И., Очилов М.М., Ибрагимова С.Н.Усовершенствованный метод извлечение признаков для идентификации диктора
с использованием алгоритма классификации. TATU xabarlari
K.E. Shukurov, "Analysis of algorithms and implementation of real time speaker identification system", Bulletin of TUIT: Management and Communication Technologies, vol. 4, April 2021.
Shukurov K.E.,Xasanov U.K., To‘rayev B.SH., “Shaxsni nutqi orqali identifikatsiyalash algortimlarini amalga oshirish”, TATU ilmiy-texnika va axborottahliliy jurnali, №1(57),2021
M S, Sinith & Salim, Anoop & Sankar, K. & Narayanan, K. & Soman, Vishnu. (2010). A novel method for Text-Independent speaker identification using MFCC and GMM. 292 - 296. 10.1109/ICALIP.2010.5684389.
Archana Shende, Subhash Mishra and Shiv Kumar, “Comparison of different parameters used in GMM based automatic voice recognition”, International Journal of Soft Computing and Engineering (IJSCE), July 2011.
Gaikwad, Santosh & Bharti, W.Gawali & Yannawar, Pravin. (2010). A Review on Speech Recognition Technique. International Journal of Computer Applications. 10. 10.5120/1462-1976.
Hasan, Md & Jamil, Mustafa & Rabbani, Golam & Rahman, Md. Saifur. (2004). Speaker Identification Using Mel Frequency Cepstral Coefficients. Proceedings of the 3rd International Conference on Electrical and Computer Engineering (ICECE 2004).
Aronowitz, Hagai & Burshtein, David. (2005). Efficient speaker identification and retrieval. 2433-2436. 10.21437/Interspeech.2005-649.
Mamyrbayev, O., Mekebayev, N., Turdalyuly, M., Oshanova, N., Ihsan Medeni, T., & Yessentay, A. (2020). Voice Identification Using Classification Algorithms. Intelligent System and Computing. doi:10.5772/intechopen.88239
Hossan, M. A., Memon, S., & Gregory, M. A. (2010). A novel approach for MFCC feature extraction. 2010 4th International Conference on Signal Processing and Communication Systems. doi:10.1109/icspcs.2010.5709752
Md. Sahidullah and Goutam Saha, "On the use of distributed dct in speaker identification," 2009 Annual IEEE India Conference (INDICON),2009,pp.1-4.
Wang Chen, Miao Zhenjiang and Meng Xiao, "Comparison of different implementations of mfcc," J. Computer Science & Technology, 2001, pp. 16(16): 582-589
Haipeng Wang, Xiang Zhang, Hongbin Suo, Qingwei Zhao and Y. Yan, "A novel fuzzy-based automatic speaker clustering algorithm," ISNN, 2009, pp. 639–646.
Sheeraz Memon, Margaret Lech and Namunu Maddage, "Speaker verification based on different vector quantization techniques with gaussian mixture models," Third International Conference on Network and System Security, 2009, pp. 403 - 40
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