Paper Title
NEURAL NETWORK-DRIVEN ASR FOR KAZAKH LANGUAGE USING DEEPSPEECH

Abstract
This paper presents a study on the creation of a Kazakh speech recognition system based on neural networks. Due to the lack of such technologies for the Kazakh language, this study is relevant and in demand. The developed system is able to effectively process Kazakh speech, opening up new opportunities for implementation in various fields of application. Interaction with the neural network begins with natural language processing (NLP), which allows the system to understand and answer questions, contributing to more effective communication. Keywords - Speech recognition, Kazakh language, NLP(Natural language processing), Machine Learning, CNN (Convolutional neural networks), RNN(Recurrent neural networks).