title: Ð¡ÑÐ°Ð²Ð½Ð¸ÑÐµÐ»ÑÐ½ÑÐ¹ Ð°Ð½Ð°Ð»Ð¸Ð· Ð¸ ÑÐµÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ñ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ 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° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
title: Comparative analysis and implementation of speech recognition methods
Creators: name: ÐÐ¾Ð¶ÐµÐ½ÐºÐ¾, ÐÐ¸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: 2022
Subjects: ÐÐµÐ¹ÑÐ¾Ð½Ð½ÑÐµ ÑÐµÑÐ¸
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ÑÐµÑÐµÐ²Ð¾Ð¹ ÑÐ¸Ð³Ð½Ð°Ð»
ÑÐºÑÑÑÑÐµ Ð¼Ð°ÑÐºÐ¾Ð²ÑÐºÐ¸Ðµ Ð¼Ð¾Ð´ÐµÐ»Ð¸
speech signal
hidden markov models

description: Ð¢ÐµÐ¼Ð° Ð²ÑÐ¿ÑÑÐºÐ½Ð¾Ð¹ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÑ: Â«Ð¡ÑÐ°Ð²Ð½Ð¸ÑÐµÐ»ÑÐ½ÑÐ¹ Ð°Ð½Ð°Ð»Ð¸Ð· Ð¸ ÑÐµÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ñ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ ÑÐµÑÐ¸Â». ÐÐ°Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¿Ð¾ÑÐ²ÑÑÐµÐ½Ð° Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ Ð¸ÑÑÐ¾ÑÐ¸Ð¸ ÑÐ°Ð·Ð²Ð¸ÑÐ¸Ñ ÑÐ¸ÑÑÐµÐ¼ ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ ÑÐµÑÐ¸, ÑÑÑÐµÑÑÐ²ÑÑÑÐ¸Ñ Ð¼ÐµÑÐ¾Ð´Ð¸Ðº Ð´Ð»Ñ ÑÐ¸ÑÑÐµÐ¼ ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ, ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐºÐµ ÑÐ¸ÑÑÐµÐ¼Ñ Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÑ ÑÐµÑÐµÐ¹ Ð¸ Ð¾ÑÐµÐ½ÐºÐ¸ ÐµÐµ ÐºÐ°ÑÐµÑÑÐ²Ð°. Ð¦ÐµÐ»ÑÑ ÑÐ°Ð±Ð¾ÑÑ ÑÐ²Ð»ÑÐµÑÑÑ Ð²ÑÑÐ²Ð»ÐµÐ½Ð¸Ðµ Ð½Ð°Ð¸Ð»ÑÑÑÐµÐ³Ð¾ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð°. 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: ÐÐ·ÑÑÐµÐ½Ð¸Ðµ ÑÐµÑÐµÐ²Ð¾Ð³Ð¾ ÑÐ¸Ð³Ð½Ð°Ð»Ð°.ÐÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ðµ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² ÑÐµÑÐµÐ½Ð¸Ñ ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ ÑÐµÑÐ¸. Ð ÐµÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ñ ÑÐ¸ÑÑÐµÐ¼Ñ ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ ÑÐµÑÐ¸. Ð¢ÐµÑÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð¸ Ð¾ÑÐµÐ½ÐºÐ° ÐºÐ°ÑÐµÑÑÐ²Ð° ÑÐµÐ°Ð»Ð¸Ð·Ð¾Ð²Ð°Ð½Ð½Ð¾Ð¹ ÑÐ¸ÑÑÐµÐ¼Ñ. Ð Ð°Ð±Ð¾ÑÐ° Ð¿ÑÐ¾Ð²ÐµÐ´ÐµÐ½Ð° Ð² ÑÑÐµÐ´Ðµ ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ¸ PyCharmÂ Ð½Ð° ÑÐ·ÑÐºÐµ Python, Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ Ð±Ð¸Ð±Ð»Ð¸Ð¾ÑÐµÐºÐ¸ SpeechRecognition Ð¸ Google API (Ð±Ð¸Ð±Ð»Ð¸Ð¾ÑÐµÐºÐ° Ð²Ð¸ÑÑÑÐ°Ð»ÑÐ½Ð¾Ð¹ ÑÐµÑÐ¸). Ð ÑÐ¾Ð´Ðµ ÑÐ°Ð±Ð¾ÑÑ Ð±ÑÐ»Ð° Ð¾Ð±ÑÑÐµÐ½Ð° Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð°Ñ ÑÐµÑÑ Ð¸ Ð¿ÑÐ¾ÑÐµÑÑÐ¸ÑÐ¾Ð²Ð°Ð½Ñ ÑÐµÐ°Ð»Ð¸Ð·Ð¾Ð²Ð°Ð½Ð½ÑÐµ ÑÐµÑÐµÐ½Ð¸Ñ. ÐÐ°Ð½Ð½Ð°Ñ ÑÐµÐ¼Ð° ÑÐ²Ð»ÑÐµÑÑÑ Ð¾ÑÐµÐ½Ñ Ð°ÐºÑÑÐ°Ð»ÑÐ½Ð¾Ð¹ Ð² Ð½Ð°ÑÐµ Ð²ÑÐµÐ¼Ñ. Ð ÐµÐ°Ð»Ð¸Ð·Ð¾Ð²Ð°Ð½Ð½Ð°Ñ ÑÐ¸ÑÑÐµÐ¼Ð° Ð¼Ð¾Ð¶ÐµÑ Ð±ÑÑÑ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð° Ð´Ð»Ñ Ð´Ð°Ð»ÑÐ½ÐµÐ¹ÑÐµÐ³Ð¾ Ð²Ð½ÐµÐ´ÑÐµÐ½Ð¸Ñ Ð² ÑÐµÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ñ ÑÐ¸ÑÑÐµÐ¼Ñ Â«Ð£Ð¼Ð½ÑÐ¹ Ð´Ð¾Ð¼Â» Ð¸Ð»Ð¸, Ðº Ð¿ÑÐ¸Ð¼ÐµÑÑ, Ð¼Ð¾Ð¶ÐµÑ Ð¿Ð¾ÑÐ»ÑÐ¶Ð¸ÑÑ Ð¾ÑÐ»Ð¸ÑÐ½ÑÐ¼ Ð¿Ð¾Ð¼Ð¾ÑÐ½Ð¸ÐºÐ¾Ð¼ Ð´Ð»Ñ Ð»ÑÐ´ÐµÐ¹ Ñ Ð¾Ð³ÑÐ°Ð½Ð¸ÑÐµÐ½Ð½ÑÐ¼Ð¸ Ð²Ð¾Ð·Ð¼Ð¾Ð¶Ð½Ð¾ÑÑÑÐ¼Ð¸.
description: The theme of the final qualification work: "Comparative analysis and implementation of speech recognition methods". This work is devoted to the study of the history of the development of speech recognition systems, existing methods for recognition systems, the development of a system based on neural networks and the assessment of its quality. The purpose of the work is to identify the best algorithm. Tasks that were solved in the course of the study: 1. Studying the speech signal. 2. Study of methods for solving speech recognition. 3. Implementation of a speech recognition system. 4. Testing and evaluation of the quality of the implemented system. The work was carried out in the PyCharm development environment in Python, using the SpeechRecognition library and the Google API (virtual speech library). During the work, a neural network was trained and the implemented solutions were tested. This topic is very relevant in our time. The implemented system can be used for further implementation of the Smart Home system or, for example, can serve as an excellent assistant for people with disabilities.