SHAXSNI OVOZI ORQALI IDENTIFIKATSIYALASH SAMARADORLIGINI OSHIRISH UCHUN O‘LCHAMNI QISQARTIRISH USULLARI
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Abstrak:
Ushbu maqolada cheklangan hisoblash resurslariga ega qurilmalarda shaxsni ovozi orqali tanib olish tizimini samarali tashkil etish masalalari ko‘rib chiqiladi. Asosiy e’tibor xotira va hisoblash resurslarini kamaytirish, shu bilan birga belgilar to’plamlarining farqlash qobiliyatini saqlab qolishga qaratilgan. Shu maqsadda o‘lchamni qisqartirish usullari – Asosiy komponentlar tahlili (PCA), Mustaqil komponentlar tahlili (ICA), Chiziqli diskriminant tahlil (LDA) va Genetik algoritm (GA) qo‘llanilgan. Tadqiqot natijalari ushbu yondashuvlar yordamida xotira sarfi va hisoblash murakkabligi sezilarli darajada kamayishi, shu bilan birga aniqlik ko‘rsatkichlari yuqori darajada saqlanishi mumkinligini ko‘rsatadi. Ushbu yondashuv resurslari cheklangan mobil qurilmalar va real vaqt tizimlari uchun mos yechim sifatida qaralishi mumkin.
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Reynolds, D. A., Quatieri, T. F., & Dunn, R. B. (2000). Speaker verification using adapted Gaussian mixture models. Digital Signal Processing, 10(1–3), 19–41. https://doi.org/10.1006/dspr.1999.0361
Davis, S., & Mermelstein, P. (1980). Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentences. IEEE Transactions on Acoustics, Speech, and Signal Processing, 28(4), 357–366. https://doi.org/10.1109/TASSP.1980.1163420
Young, S., Evermann, G., Gales, M., Kershaw, D., Liu, X., Moore, G., ... & Woodland, P. (2006). The HTK Book (for HTK Version 3.4). Cambridge University Engineering Department.
Jolliffe, I. T., & Cadima, J. (2016). Principal component analysis: A review and recent developments. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 374(2065), 20150202. https://doi.org/10.1098/rsta.2015.0202
Hyvärinen, A., & Oja, E. (2000). Independent component analysis: Algorithms and applications. Neural Networks, 13(4–5), 411–430. https://doi.org/10.1016/S0893-6080(00)00026-5
Fisher, R. A. (1936). The use of multiple measurements in taxonomic problems. Annals of Eugenics, 7(2), 179–188. https://doi.org/10.1111/j.1469-1809.1936.tb02137.x
Goldberg, D. E. (1989). Genetic Algorithms in Search, Optimization and Machine Learning. Addison-Wesley.
Kinnunen, T., & Li, H. (2010). An overview of text-independent speaker recognition: From features to supervectors. Speech Communication, 52(1), 12–40. https://doi.org/10.1016/j.specom.2009.08.009
Rabiner, L., & Juang, B. H. (1993). Fundamentals of Speech Recognition. Prentice-Hall.
Bishop, C. M. (2006). Pattern Recognition and Machine Learning. Springer.