title: ÐÐ´ÐµÐ½ÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ñ Ð»ÑÐ´ÐµÐ¹ Ð¿Ð¾ Ð³Ð¾Ð»Ð¾ÑÑ Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð¾Ð¹ ÑÐµÑÐ¸
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Identification of people by voice based on a neural network
Creators: name: ÐÐ¸ÑÑÐ³Ð¸Ð½Ð°, ÐÑÐ¸ÑÑÐ¸Ð½Ð°
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2021
Subjects: Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÐµ ÑÐµÑÐ¸
Ð¼ÐµÐ»-ÑÐ°ÑÑÐ¾ÑÐ½ÑÐµ ÐºÐµÐ¿ÑÑÑÐ°Ð»ÑÐ½ÑÐµ ÐºÐ¾ÑÑÑÐ¸ÑÐ¸ÐµÐ½ÑÑ
Ð¸Ð´ÐµÐ½ÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ñ Ð¿Ð¾ Ð³Ð¾Ð»Ð¾ÑÑ
neural networks
mel - frequency cepstral rates
voice id

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description: The subject of the graduate qualification work is: " Identification of people by voice based on a neural network ". The final qualifying work is devoted to the creation of a new algorithm for recognizing people by voice based on a neural network. Tasks solved in the course of work: 1. Review of existing algorithms for voice identification; 2. Finding the optimal number of parameters required to describe the human voice; 3. Finding the minimum number of sound fragments required for the recognition algorithm; 4. Study of human identification systems based on a neural network; 5. Processing of sound fragments at the stage of training the neural network and at the stage of recognition; 6. Development of an algorithm for identifying a person by voice using a set of stencil sound fragments. The result of the work is an algorithm for recognizing a person by voice, which can be used to create new architectural solutions.