title: ÐÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ðµ Ñ Ð°ÑÐ°ÐºÑÐµÑÐ¸ÑÑÐ¸Ðº ÑÐ¸Ð³Ð½Ð°Ð»Ð¾Ð² Ð² Ð¼ÐµÑÐ¾Ð´Ð°Ñ ÑÐ°Ð·Ð´ÐµÐ»ÐµÐ½Ð¸Ñ ÑÐµÑÐµÐ²ÑÑ Ð¸ÑÑÐ¾ÑÐ½Ð¸ÐºÐ¾Ð²
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: Investigation of signal characteristics in methods of separation of speech sources
Creators: name: ÐÐ°Ð½ Ð§Ð¶Ñ
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: Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ° ÑÐµÑÐ¸
Ð´Ð¸ÑÐºÑÐµÑÐ¸Ð·Ð°ÑÐ¸Ñ ÐºÐ²Ð°Ð½ÑÐ¾Ð²Ð°Ð½Ð¸Ñ
ÐºÑÐ°ÑÐºÐ¾Ð²ÑÐµÐ¼ÐµÐ½Ð½Ð°Ñ ÑÐ½ÐµÑÐ³Ð¸Ñ
ÐºÑÐ°ÑÐºÐ¾Ð²ÑÐµÐ¼ÐµÐ½Ð½Ð°Ñ Ð°Ð²ÑÐ¾ÐºÐ¾ÑÑÐµÐ»ÑÑÐ¸Ñ
ÑÐ°Ð·Ð´ÐµÐ»ÐµÐ½Ð¸Ðµ ÑÐµÑÐ¸
speech processing
quantization sampling
transient energy
transient autocorrelation
speech separation

description: Ð¦ÐµÐ»ÑÑ ÑÐ°Ð·Ð´ÐµÐ»ÐµÐ½Ð¸Ñ ÑÐµÑÐ¸ ÑÐ²Ð»ÑÐµÑÑÑ Ð¾ÑÐ´ÐµÐ»ÐµÐ½Ð¸Ðµ ÑÐµÐ»ÐµÐ²Ð¾Ð¹ ÑÐµÑÐ¸ Ð¾Ñ ÑÐ¾Ð½Ð¾Ð²Ð¾Ð³Ð¾ ÑÑÐ¼Ð°. Ð Ð°Ð·Ð´ÐµÐ»ÐµÐ½Ð¸Ðµ ÑÐµÑÐ¸ Ð´ÐµÑÑÑÐ¸Ð»ÐµÑÐ¸ÑÐ¼Ð¸ Ð¸Ð·ÑÑÐ°ÐµÑÑÑ Ð² ÑÑÐµÑÐµ Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ¸ ÑÐ¸Ð³Ð½Ð°Ð»Ð¾Ð². ÐÑÐ¿Ð¾Ð»ÑÐ·ÑÐµÑÑÑ Ð² Ð¼Ð¾Ð±Ð¸Ð»ÑÐ½Ð¾Ð¹ ÑÐ²ÑÐ·Ð¸, ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ð¸ ÑÐµÑÐ¸ Ð¸ Ñ.Ð´. ÐÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð½Ð¾Ðµ Ð¾Ð±ÐµÑÐ¿ÐµÑÐµÐ½Ð¸Ðµ MATLAB Ð¼Ð¾Ð¶ÐµÑ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°ÑÑ ÑÐ²Ð¾Ð¸ Ð¼Ð¾ÑÐ½ÑÐµ Ð²ÑÑÐ¸ÑÐ»Ð¸ÑÐµÐ»ÑÐ½ÑÐµ Ð¼Ð¾ÑÐ½Ð¾ÑÑÐ¸ Ð´Ð»Ñ Ð·Ð°Ð²ÐµÑÑÐµÐ½Ð¸Ñ Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ¸ ÑÐµÑÐµÐ²ÑÑ ÑÐ¸Ð³Ð½Ð°Ð»Ð¾Ð². Ð¡ Ð¿Ð¾Ð¼Ð¾ÑÑÑ MATLAB Ð¼Ð¾Ð¶ÐµÑ Ð±ÑÑÑ Ð²ÑÐ¿Ð¾Ð»Ð½ÐµÐ½ Ð°Ð½Ð°Ð»Ð¸Ð· Ð¾ÑÐ¸ÑÑÐ¾Ð²Ð°Ð½Ð½ÑÑ ÑÐµÑÐµÐ²ÑÑ ÑÐ¸Ð³Ð½Ð°Ð»Ð¾Ð² Ð²Ð¾ Ð²ÑÐµÐ¼ÐµÐ½Ð½Ð¾Ð¹ Ð¸ ÑÐ°ÑÑÐ¾ÑÐ½Ð¾Ð¹ Ð¾Ð±Ð»Ð°ÑÑÑÑ, Ð° ÐºÑÐ¸Ð²ÑÐµ ÑÐµÑÐµÐ²ÑÑ ÑÐ¸Ð³Ð½Ð°Ð»Ð¾Ð² Ð²Ð¾ Ð²ÑÐµÐ¼ÐµÐ½Ð½Ð¾Ð¹ Ð¸ ÑÐ°ÑÑÐ¾ÑÐ½Ð¾Ð¹ Ð¾Ð±Ð»Ð°ÑÑÑÑ Ð¼Ð¾Ð³ÑÑ Ð±ÑÑÑ ÑÐ´Ð¾Ð±Ð½Ð¾ Ð¾ÑÐ¾Ð±ÑÐ°Ð¶ÐµÐ½Ñ, Ð° ÑÐµÑÑ Ð¼Ð¾Ð¶ÐµÑ Ð±ÑÑÑ Ð¿ÑÐ¾Ð°Ð½Ð°Ð»Ð¸Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð° Ð² ÑÐ¾Ð¾ÑÐ²ÐµÑÑÑÐ²Ð¸Ð¸ Ñ ÑÐ°ÑÐ°ÐºÑÐµÑÐ¸ÑÑÐ¸ÐºÐ°Ð¼Ð¸ ÑÐµÑÐµÐ²Ð¾Ð³Ð¾ ÑÐ¸Ð³Ð½Ð°Ð»Ð°. ÑÐµÑÑ. Ð ÑÐ°Ð±Ð¾ÑÐµ Ð¾Ð±ÑÑÐ¶Ð´Ð°ÐµÑÑÑ ÑÑÐ´ ÑÑÐ½ÐºÑÐ¸Ð¹ Ð°Ð½Ð°Ð»Ð¸Ð·Ð° Ð¸ ÑÐ°Ð·Ð´ÐµÐ»ÐµÐ½Ð¸Ñ ÑÐµÑÐ¸ ÑÐµÑÐµÐ²ÑÑ ÑÐ¸Ð³Ð½Ð°Ð»Ð¾Ð² Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÐµÑÐ¿ÐµÑÐµÐ½Ð¸Ñ MATLAB, Ð²ÐºÐ»ÑÑÐ°Ñ Ð¼Ð¾Ð´ÐµÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ¸ ÑÐµÑÐ¸, Ð°Ð½Ð°Ð»Ð¸Ð· Ð²ÑÐ±Ð¾ÑÐºÐ¸ ÑÐµÑÐ¸, ÐºÑÐ°ÑÐºÐ¾ÑÑÐ¾ÑÐ½ÑÐ¹ Ð°Ð½Ð°Ð»Ð¸Ð· ÑÐ½ÐµÑÐ³Ð¸Ð¸, ÐºÑÐ°ÑÐºÐ¾ÑÑÐ¾ÑÐ½ÑÐ¹ Ð°Ð²ÑÐ¾ÐºÐ¾ÑÑÐµÐ»ÑÑÐ¸Ð¾Ð½Ð½ÑÐ¹ Ð°Ð½Ð°Ð»Ð¸Ð· Ð¸ ÑÐ°Ð·Ð´ÐµÐ»ÐµÐ½Ð¸Ðµ ÑÐµÑÐ¸.
description: The purpose of speech separation is to separate target speech from background noise. Speech separation has been studied in signal processing for decades. Used in mobile communications, speech recognition, etc. MATLAB software can use its powerful processing power to complete speech processing. With MATLAB, the analysis of digitized speech signals in the time and frequency domains can be performed, and the curves of the speech signals in the time and frequency domains can be conveniently displayed, and speech can be analyzed according to the characteristics of the speech signal. speech. This paper discusses a number of speech analysis and speech separation functions based on MATLAB software, including speech processing simulation, speech sampling analysis, short-term energy analysis, short-term autocorrelation analysis, and speech separation.