Analysis of methods and algorithms for Uzbek speech recognition using artificial intelligence
Iqtisodiyot tarmoqlarining innovatsion rivojlanishida axborot-kommunikatsiya texnologiyalarining ahamiyati
Pages: 126-128
Views: 145 times
Abstract
This article analyzes methods and algorithms for Uzbek speech recognition using artificial intelligence techniques. It discusses speech signal processing, feature extraction, and neural network-based recognition approaches. The study also examines Hidden Markov Models, Gaussian Mixture Models, and deep learning methods, highlighting their advantages, limitations, and challenges in improving recognition accuracy
Keywords
artificial intelligence
speech recognition
ASR systems
neural networks
hidden Markov models
Gaussian mixture models
signal processing
feature extraction
Uzbek language