title: Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° Ð¼ÐµÑÐ¾Ð´Ð° Ð¸Ð´ÐµÐ½ÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸ Ð»Ð¸ÑÐ½Ð¾ÑÑÐ¸ Ð¿Ð¾ Ð³Ð¾Ð»Ð¾ÑÑ Ñ Ð¿Ð¾Ð¼Ð¾ÑÑÑ Ð³Ð»ÑÐ±Ð¾ÐºÐ¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ
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: Development of a method for identifying a person by voice using deep learning
Creators: name: ÐÐ»Ð¸Ð½Ð¾Ð², ÐÐ°Ð²ÐµÐ»
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: 2023
Subjects: Ð¸Ð´ÐµÐ½ÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ñ Ð»Ð¸ÑÐ½Ð¾ÑÑÐ¸
Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð°Ñ ÑÐµÑÑ
Ð³Ð»ÑÐ±Ð¾ÐºÐ¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ
Ð¿ÑÐ¸Ð·Ð½Ð°ÐºÐ¸ ÑÐ¸Ð³Ð½Ð°Ð»Ð°
ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ñ
ÑÐ¾ÑÐ½Ð¾ÑÑÑ Ð¸Ð´ÐµÐ½ÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸
OpenL3
VGGish
EER
personality identification
neural network
deep learning
signal signs
classification
identification accuracy

description: ÐÐ±ÑÐµÐºÑ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ âÂ  Ð³Ð¾Ð»Ð¾Ñ ÑÐµÐ»Ð¾Ð²ÐµÐºÐ°. Ð¦ÐµÐ»Ñ ÑÐ°Ð±Ð¾ÑÑ âÂ  ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°ÑÑ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼ Ð¸Ð´ÐµÐ½ÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸ Ð»Ð¸ÑÐ½Ð¾ÑÑÐ¸ Ð¿Ð¾ Ð³Ð¾Ð»Ð¾ÑÑ Ñ Ð¿ÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸ÐµÐ¼ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² Ð³Ð»ÑÐ±Ð¾ÐºÐ¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ. Ð ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐµ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸ÑÂ  Ð±ÑÐ»Ð¸ ÑÐ°ÑÑÐ¼Ð¾ÑÑÐµÐ½Ñ Ð¾ÑÐ½Ð¾Ð²Ð½ÑÐµ ÑÑÐ°Ð¿Ñ Ð¸Ð´ÐµÐ½ÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸ Ð»Ð¸ÑÐ½Ð¾ÑÑÐ¸ Ð¿Ð¾ Ð³Ð¾Ð»Ð¾ÑÑ, Ð° ÑÐ°ÐºÐ¶Ðµ Ð¿ÑÐµÐ´ÑÑÐ°Ð²Ð»ÐµÐ½Ð° ÑÐµÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ñ Ð½ÐµÐ¹ÑÐ¾ÑÐµÑÐµÐ²Ð¾Ð³Ð¾ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð°, Ñ Ð¿Ð¾Ð¼Ð¾ÑÑÑ ÐºÐ¾ÑÐ¾ÑÐ¾Ð³Ð¾ Ð²Ð¾Ð·Ð¼Ð¾Ð¶Ð½Ð¾ Ð¸Ð´ÐµÐ½ÑÐ¸ÑÐ¸ÑÐ¸ÑÐ¾Ð²Ð°ÑÑ Ð³Ð¾Ð²Ð¾ÑÑÑÐµÐ³Ð¾, Ð°Ð½Ð°Ð»Ð¸Ð·Ð¸ÑÑÑ ÐµÐ³Ð¾ ÑÐµÑÐµÐ²ÑÐµ ÑÐ¸Ð³Ð½Ð°Ð»Ñ Ð¸ Ð¿ÑÐ¸Ð·Ð½Ð°ÐºÐ¸, Ð¸Ð·Ð²Ð»ÐµÑÐµÐ½Ð½ÑÐµ Ð¸Ð· Ð³Ð¾Ð»Ð¾ÑÐ°. ÐÑÐ¾Ð²ÐµÐ´ÐµÐ½ Ð°Ð½Ð°Ð»Ð¸Ð· ÑÐ°Ð±Ð¾ÑÑ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð°, Ð¾ÑÐµÐ½ÐºÐ° ÐµÐ³Ð¾ ÐºÐ°ÑÐµÑÑÐ²Ð° Ñ Ð¿Ð¾Ð¼Ð¾ÑÑÑ Ð¼ÐµÑÑÐ¸ÐºÐ¸ EER. Ð¢Ð¾ÑÐ½Ð¾ÑÑÑ Ð¿Ð¾Ð»ÑÑÐµÐ½Ð½Ð¾Ð³Ð¾ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð° ÑÐ¾ÑÑÐ°Ð²Ð¸Ð»Ð° Ð²ÑÑÐµ 93%. ÐÐ°Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð¾Ð¶ÐµÑ Ð±ÑÑÑ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð° Ð´Ð»Ñ ÑÐ¾Ð²ÐµÑÑÐµÐ½ÑÑÐ²Ð¾Ð²Ð°Ð½Ð¸Ñ ÑÐ¸ÑÑÐµÐ¼ Ð±ÐµÐ·Ð¾Ð¿Ð°ÑÐ½Ð¾ÑÑÐ¸ Ð¸ Ð°ÑÑÐµÐ½ÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸, Ð´Ð»Ñ Ð·Ð°ÑÐ¸ÑÑ Ð¾Ñ Ð¼Ð¾ÑÐµÐ½Ð½Ð¸ÑÐµÑÑÐ²Ð°, Ð° ÑÐ°ÐºÐ¶Ðµ Ð¼Ð½Ð¾Ð³Ð¸Ñ Ð´ÑÑÐ³Ð¸Ñ ÑÑÐµÑÐ°Ñ ÑÐµÐ»Ð¾Ð²ÐµÑÐµÑÐºÐ¾Ð¹ Ð¶Ð¸Ð·Ð½ÐµÐ´ÐµÑÑÐµÐ»ÑÐ½Ð¾ÑÑÐ¸. ÐÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð»Ð¸ÑÑ Ð¾ÑÐºÑÑÑÑÐµ Ð¾Ð±ÑÐ°Ð·Ð¾Ð²Ð°ÑÐµÐ»ÑÐ½ÑÐµ ÑÐµÑÑÑÑÑ Ð¸ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ñ Ð¿Ð¾Ð¸ÑÐºÐ° Ð¸ Ð°Ð½Ð°Ð»Ð¸Ð·Ð° Ð¸Ð½ÑÐ¾ÑÐ¼Ð°ÑÐ¸Ð¸. ÐÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð»Ð¸ÑÑ ÑÑÐµÐ´ÑÑÐ²Ð° Ð°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð½Ð¾Ð¹ ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ¸ python. ÐÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¾ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð½Ð¾Ðµ Ð¾Ð±ÐµÑÐ¿ÐµÑÐµÐ½Ð¸Ðµ python.
description: The given work is devoted to develop an algorithm for identifying a person by voice using deep learning methods. As a result of the study, the main stages of personality identification by voice were considered, and the implementation of a neural network algorithm was presented, with the help of which it is possible to identify the speaker by analyzing his speech signals and signs extracted from the voice. The analysis of the algorithm operation, its quality assessment using the EER metric is carried out. The accuracy of the obtained algorithm was above 93%. This work can be used to improve security and authentication systems, to protect against fraud, as well as many other areas of human activity. Open educational resources and information search and analysis programs were used. Python automated development tools were used. Python software is used.