title: Ð Ð°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ðµ Ð³Ð¾ÑÐ¾Ð´ÑÐºÐ¸Ñ Ð·Ð²ÑÐºÐ¾Ð² Ñ Ð¿Ð¾Ð¼Ð¾ÑÑÑ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÑ ÑÐµÑÐµÐ¹
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: Urban sound recognition with neural networks
Creators: name: Ð ÐµÐ¹Ð¼ÐµÑ, Ð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: 2023
Subjects: ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ñ Ð·Ð²ÑÐºÐ¾Ð² Ð¾ÐºÑÑÐ¶Ð°ÑÑÐµÐ¹ ÑÑÐµÐ´Ñ
Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÐµ ÑÐµÑÐ¸
ÑÑÐ°Ð½ÑÑÐ¾ÑÐ¼ÐµÑ
environmental sound classification
neural networks
transformer

description: ÐÐ°Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¿Ð¾ÑÐ²ÑÑÐµÐ½Ð° Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ Ð·Ð°Ð´Ð°ÑÐ¸ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸ Ð³Ð¾ÑÐ¾Ð´ÑÐºÐ¸Ñ Ð·Ð²ÑÐºÐ¾Ð². ÐÐ°Ð´Ð°ÑÐ¸, ÐºÐ¾ÑÐ¾ÑÑÐµ ÑÐµÑÐ°Ð»Ð¸ÑÑ Ð² ÑÐ¾Ð´Ðµ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ: 1. ÐÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ðµ Ð¿ÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸Ñ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÑ ÑÐµÑÐµÐ¹ Ð² ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸ Ð³Ð¾ÑÐ¾Ð´ÑÐºÐ¸Ñ Ð·Ð²ÑÐºÐ¾Ð² Ð¸ ÑÑÐ°Ð²Ð½ÐµÐ½Ð¸Ðµ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐ¾Ð² ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸. 2. ÐÐ·ÑÑÐµÐ½Ð¸Ðµ Ð¸Ð½ÑÑÑÑÐ¼ÐµÐ½ÑÐ¾Ð² Ð¸ Ð½Ð°Ð±Ð¾ÑÐ¾Ð² Ð´Ð°Ð½Ð½ÑÑ Ð¿ÑÐ¸Ð¼ÐµÐ½Ð¸Ð¼ÑÑ Ð´Ð»Ñ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸ Ð³Ð¾ÑÐ¾Ð´ÑÐºÐ¸Ñ Ð·Ð²ÑÐºÐ¾Ð². 3. ÐÐ·ÑÑÐµÐ½Ð¸Ðµ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð½Ð¾Ð¹ ÑÐµÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ð¸ Ð»Ð¸Ð´Ð¸ÑÑÑÑÐµÐ¹ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð¾Ð¹ ÑÐµÑÐ¸ Ð² ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸ Ð³Ð¾ÑÐ¾Ð´ÑÐºÐ¸Ñ Ð·Ð²ÑÐºÐ¾Ð². 4. ÐÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ðµ ÑÐ°Ð±Ð¾ÑÑ Ð»Ð¸Ð´Ð¸ÑÑÑÑÐµÐ¹ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð¾Ð¹ ÑÐµÑÐ¸ Ð½Ð° Ð´ÑÑÐ³Ð¸Ñ Ð½Ð°Ð±Ð¾ÑÐ°Ñ Ð´Ð°Ð½Ð½ÑÑ. ÐÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¾ Ð¿ÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸Ðµ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÑ ÑÐµÑÐµÐ¹ Ð² ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸ Ð³Ð¾ÑÐ¾Ð´ÑÐºÐ¸Ñ Ð·Ð²ÑÐºÐ¾Ð². ÐÑÐ¾Ð²ÐµÐ´ÑÐ½ ÑÑÐ°Ð²Ð½Ð¸ÑÐµÐ»ÑÐ½ÑÐ¹ Ð°Ð½Ð°Ð»Ð¸Ð· Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÑ ÑÐµÑÐµÐ¹, Ð² ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐµ ÑÐµÐ³Ð¾ Ð²ÑÑÐ²Ð»ÐµÐ½Ð° Ð»Ð¸Ð´Ð¸ÑÑÑÑÐ°Ñ ÑÐµÑÑ Ð´Ð»Ñ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸ Ð³Ð¾ÑÐ¾Ð´ÑÐºÐ¸Ñ Ð·Ð²ÑÐºÐ¾Ð². ÐÐ·ÑÑÐµÐ½Ñ Ð¸Ð½ÑÑÑÑÐ¼ÐµÐ½ÑÑ Ð¸ Ð½Ð°Ð±Ð¾ÑÑ Ð´Ð°Ð½Ð½ÑÑ, Ð¸ÑÐ¿Ð¾Ð»ÑÐ·ÑÐµÐ¼ÑÐµ Ð´Ð»Ñ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸ Ð³Ð¾ÑÐ¾Ð´ÑÐºÐ¸Ñ Ð·Ð²ÑÐºÐ¾Ð². ÐÐ·ÑÑÐµÐ½Ð° ÑÑÑÑÐºÑÑÑÐ° Ð»Ð¸Ð´Ð¸ÑÑÑÑÐµÐ¹ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð¾Ð¹ ÑÐµÑÐ¸, Ð¿ÑÐ¾Ð¸Ð·Ð²ÐµÐ´ÐµÐ½Ð° Ð½Ð°ÑÑÑÐ¾Ð¹ÐºÐ° ÑÐµÑÐ¸ Ð´Ð»Ñ Ð²Ð¾ÑÐ¿ÑÐ¾Ð¸Ð·Ð²ÐµÐ´ÐµÐ½Ð¸Ñ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐ¾Ð² ÑÐ°Ð±Ð¾ÑÑ Ð½Ð° Ð½Ð°Ð±Ð¾ÑÐµ Ð´Ð°Ð½Ð½ÑÑ ESC-50. ÐÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð° ÑÐ°Ð±Ð¾ÑÐ° Ð²ÐµÐ´ÑÑÐµÐ¹ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð¾Ð¹ ÑÐµÑÐ¸ Ð½Ð° Ð½Ð°Ð±Ð¾ÑÐµ Ð´Ð°Ð½Ð½ÑÑ UrbanSound8K.
description: The given work is devoted to the research of urban sound classification task. The research set the following goals: 1. Research on the application of neural networks in urban sound classification and comparison of classification results. 2. Study of tools and datasets applicable for urban sound classification. 3. Study of the software implementation of the leading neural network in urban sound classification. 4. Exploration of the performance of the leading neural network on other datasets. The application of neural networks in the classification of urban sounds has been investigated. A comparative analysis of neural networks was conducted, leading to the identification of a leading network for urban sound classification. Tools and datasets used for urban sound classification were examined. The structure of the leading neural network was studied, and adjustments were made to replicate the results on the ESC-50 dataset. The performance of the dominant neural network was investigated on the UrbanSound8K dataset.