title: Ð Ð°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ðµ Ð¸ ÑÑÐ°Ð²Ð½ÐµÐ½Ð¸Ðµ ÑÐ¿ÐµÐºÑÑÐ¾Ð² Ð°ÑÐ´Ð¸Ð¾ÑÐ¸Ð³Ð½Ð°Ð»Ð¾Ð², Ð¿Ð¾Ð»ÑÑÐµÐ½Ð½ÑÑ Ð¿ÑÐ¸ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸Ð¸ Ð¼Ð¸ÐºÑÐ¾ÐºÐ¾Ð½ÑÑÐ¾Ð»Ð»ÐµÑÐ¾Ð² Ð½Ð° Ð±Ð°Ð·Ðµ STM32
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: Recognition and comparison of audio signal spectra obtained using STM32-based microcontrollers
Creators: name: ÐÐµÐ±ÐµÐ´Ð¸ÐºÐ¾Ð²Ð°, ÐÐ°Ð»ÐµÑ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: 2022
Subjects: Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ° Ð·Ð²ÑÐºÐ¾Ð²Ð¾Ð³Ð¾ ÑÐ¸Ð³Ð½Ð°Ð»Ð°
ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ðµ Ð´Ð¸ÐºÑÐ¾ÑÐ°
mfcc
ÑÐ¿ÐµÐºÑÑÐ°Ð»ÑÐ½ÑÐ¹ Ð°Ð½Ð°Ð»Ð¸Ð·
Ð¼Ð¸ÐºÑÐ¾ÐºÐ¾Ð½ÑÑÐ¾Ð»Ð»ÐµÑÑ stm32
audio signal processing
sound recognition
speaker recognition
matlab
signal processing
spectral analysis
stm32 microcontrollers
keil

description: ÐÐ°Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¿Ð¾ÑÐ²ÑÑÐµÐ½Ð° Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ Ð¿ÑÐ¾ÑÐµÑÑÐ° ÑÑÐ¸ÑÑÐ²Ð°Ð½Ð¸Ñ Ð·Ð²ÑÐºÐ° Ð¼Ð¸ÐºÑÐ¾ÑÐ¾Ð½Ð¾Ð¼ Ð¼Ð¸ÐºÑÐ¾ÐºÐ¾Ð½ÑÑÐ¾Ð»Ð»ÐµÑÐ° STM32, ÑÐ¿ÐµÐºÑÑÐ°Ð»ÑÐ½Ð¾Ð³Ð¾ Ð°Ð½Ð°Ð»Ð¸Ð·Ð° Ð¸ Ð¿Ð¾ÑÑÑÐ¾ÐµÐ½Ð½Ð¾Ð³Ð¾ Ð½Ð° Ð±Ð°Ð·Ðµ Ð½ÐµÐ³Ð¾ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð° ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ Ð´Ð¸ÐºÑÐ¾ÑÐ°. Ð ÑÐ¾Ð´Ðµ ÑÐ°Ð±Ð¾ÑÑ Ð±ÑÐ»Ð¸ ÑÐµÑÐµÐ½Ñ ÑÐ»ÐµÐ´ÑÑÑÐ¸Ðµ Ð·Ð°Ð´Ð°ÑÐ¸. ÐÑÐ»Ð° Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð° Ð¸ÑÐ¿Ð¾Ð»ÑÐ·ÑÐµÐ¼Ð°Ñ Ð¿Ð»Ð°ÑÐ° MCBSTM32F200, Ð¿ÑÐ¸Ð½ÑÐ¸Ð¿ ÑÑÐ¸ÑÑÐ²Ð°Ð½Ð¸Ñ Ð·Ð²ÑÐºÐ° Ð¸ ÐµÐ³Ð¾ Ð¿ÑÐµÐ¾Ð±ÑÐ°Ð·Ð¾Ð²Ð°Ð½Ð¸Ñ. Ð ÐµÐ°Ð»Ð¸Ð·Ð¾Ð²Ð°Ð½ ÐºÐ¾Ð´ Ð½Ð° ÑÐ·ÑÐºÐµ Ð¡Ð¸ Ð² ÑÑÐµÐ´Ðµ Keil Ð´Ð»Ñ ÑÑÐ¸ÑÑÐ²Ð°Ð½Ð¸Ñ Ð·Ð²ÑÐºÐ° Ð¼Ð¸ÐºÑÐ¾ÑÐ¾Ð½Ð¾Ð¼ Ð½Ð° Ð¿Ð»Ð°ÑÐµ. ÐÑÐ»Ð¸ ÑÑÐ¸ÑÐ°Ð½Ñ Ð³Ð¾Ð»Ð¾ÑÐ° ÑÐ°Ð·Ð½ÑÑ Ð´Ð¸ÐºÑÐ¾ÑÐ¾Ð² Ð´Ð»Ñ Ð´Ð°Ð»ÑÐ½ÐµÐ¹ÑÐµÐ³Ð¾ ÑÐ¿ÐµÐºÑÑÐ°Ð»ÑÐ½Ð¾Ð³Ð¾ Ð°Ð½Ð°Ð»Ð¸Ð·Ð° Ð² ÑÑÐµÐ´Ðµ ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ¸ MATLAB. ÐÑÐ»Ð¸ Ð¿Ð¾Ð»ÑÑÐµÐ½Ñ ÑÐ¿ÐµÐºÑÑÐ°Ð»ÑÐ½ÑÐµ Ð´Ð°Ð½Ð½ÑÐµ, Ð¿Ð¾ ÐºÐ¾ÑÐ¾ÑÑÐ¼ Ð¿Ð¾ÑÑÑÐ¾ÐµÐ½ ÑÐ¿ÐµÐºÑÑ ÑÐ¿ÐµÐºÑÑÐ° â ÐºÐµÐ¿ÑÑÑ Ð¸ Ð¿ÑÐ¾Ð²ÐµÐ´ÐµÐ½ Ð¼ÐµÐ»-ÐºÐµÐ¿ÑÑÑÐ°Ð»ÑÐ½ÑÐ¹ Ð°Ð½Ð°Ð»Ð¸Ð· (MFCC). ÐÑÐ» Ð¸Ð·ÑÑÐµÐ½ Ð¿ÑÐ¸Ð½ÑÐ¸Ð¿ Ð²ÐµÐºÑÐ¾ÑÐ½Ð¾Ð³Ð¾ ÐºÐ²Ð°Ð½ÑÐ¾Ð²Ð°Ð½Ð¸Ñ, Ð° Ð´Ð°Ð»ÐµÐµ ÑÐµÐ°Ð»Ð¸Ð·Ð¾Ð²Ð°Ð½ Ñ Ð¿Ð¾Ð¼Ð¾ÑÑÑ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð° Ð-ÑÑÐµÐ´Ð½Ð¸Ñ. ÐÑÐ»Ð¸ ÑÐ¾ÑÑÐ°Ð²Ð»ÐµÐ½Ñ ÐºÐ¾Ð´Ð¾Ð²ÑÐµ ÐºÐ½Ð¸Ð³Ð¸ Ð½Ð° ÑÑÐ°Ð¿Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ ÑÐ¸ÑÑÐµÐ¼Ñ ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ Ð´Ð¸ÐºÑÐ¾ÑÐ¾Ð².Ð ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐµ Ð¿Ð¾ Ð¸Ð·ÑÑÐµÐ½Ð½Ð¾Ð¼Ñ Ð¼Ð°ÑÐµÐ¼Ð°ÑÐ¸ÑÐµÑÐºÐ¾Ð¼Ñ Ð°Ð¿Ð¿Ð°ÑÐ°ÑÑ Ð±ÑÐ» ÑÐµÐ°Ð»Ð¸Ð·Ð¾Ð²Ð°Ð½ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼ ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ Ð¸ Ð¸Ð´ÐµÐ½ÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸ Ð´Ð¸ÐºÑÐ¾ÑÐ° Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ Ð¼Ð¸ÐºÑÐ¾ÑÐ¾Ð½Ð° Ð½Ð° Ð¿Ð»Ð°ÑÐµ MCBSTM32F200. ÐÐ»Ñ Ð¿Ð¾Ð»ÑÑÐµÐ½Ð½Ð¾Ð³Ð¾ ÑÐµÑÐµÐ½Ð¸Ñ Ð±ÑÐ»Ð¾ Ð¿ÑÐ¾Ð²ÐµÐ´ÐµÐ½Ð¾ ÑÐµÑÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ, ÑÐºÑÐ¿ÐµÑÐ¸Ð¼ÐµÐ½ÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ Ð¸ Ð°Ð½Ð°Ð»Ð¸Ð· ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐ¾Ð².
description: This work is devoted to the study of the sound reading process by the microphone of the STM32 microcontroller, spectral analysis and the speaker recognition algorithm based on it.In the course of the work, the following tasks were solved. The MCBSTM32F200 board used, the principle of sound reading and its conversion were investigated. Implemented a C code in Keil for reading sound by a microphone on the board. The voices of different speakers were read for further spectral analysis in MATLAB. Spectral data were obtained, from which the spectrum of the spectrum â kepstr was constructed and the mel-kepstral analysis (MFCC) was carried out. The principle of vector quantization was studied, and then implemented using the K-means algorithm. Codebooks were compiled at the training stage of the speaker recognition system.As a result, an algorithm for recognizing and identifying the speaker using a microphone on the MCBSTM32F200 board was implemented using the studied mathematical apparatus. For the obtained solution, testing, experimentation and analysis of the results were carried out.