title: ÐÐ½ÑÐ¾ÑÐ¼Ð°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ¸ÑÑÐµÐ¼Ð° ÑÑÐ°Ð½ÑÐºÑÐ¸Ð±Ð°ÑÐ¸Ð¸ 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: Speech transcribation information system
Creators: name: Ð¨ÐºÐ°Ð»ÐµÐ², ÐÐ²Ð³ÐµÐ½Ð¸Ð¹
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¸
Ð ÐµÑÑ
ÑÑÐ°Ð½ÑÐºÑÐ¸Ð±Ð°ÑÐ¸Ñ ÑÐµÑÐ¸
ÑÐµÐºÑÑÐµÐ½ÑÐ½ÑÐµ ÑÐµÑÐ¸
speech transcribation
recurrent networks

description: ÐÐ±ÑÐµÐºÑÐ¾Ð¼ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ Ð²ÑÑÑÑÐ¿Ð°ÐµÑ Ð¸Ð½ÑÐ¾ÑÐ¼Ð°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ¸ÑÑÐµÐ¼Ð° ÑÑÐ°Ð½ÑÐºÑÐ¸Ð±Ð°ÑÐ¸Ð¸ ÑÐµÑÐ¸. Ð¦ÐµÐ»ÑÑ ÑÐ°Ð±Ð¾ÑÑ ÑÐ²Ð»ÑÐµÑÑÑ ÑÐ¾Ð·Ð´Ð°Ð½Ð¸Ðµ Ð¿ÑÐ¾ÑÐ¾ÑÐ¸Ð¿Ð° Ð¸Ð½ÑÐ¾ÑÐ¼Ð°ÑÐ¸Ð¾Ð½Ð½Ð¾Ð¹ ÑÐ¸ÑÑÐµÐ¼Ñ ÑÑÐ°Ð½ÑÐºÑÐ¸Ð±Ð°ÑÐ¸Ð¸ ÑÐµÑÐ¸, ÐºÐ¾ÑÐ¾ÑÐ°Ñ Ð¿ÑÐµÐ´Ð¾ÑÑÐ°Ð²Ð»ÑÐµÑ Ð²Ð¾Ð·Ð¼Ð¾Ð¶Ð½Ð¾ÑÑÑ Ð²ÑÐ¿Ð¾Ð»Ð½Ð¸ÑÑ ÑÑÐ°Ð½ÑÐºÑÐ¸Ð±Ð°ÑÐ¸Ñ Ð·Ð°Ð¿Ð¸ÑÐ¸ ÑÐµÑÐ¸ Ð¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°ÑÐµÐ»ÐµÐ¹ Ð¸Ð»Ð¸ Ð·Ð°Ð³ÑÑÐ¶ÐµÐ½Ð½ÑÑ Ð°ÑÐ´Ð¸Ð¾ ÑÐ°Ð¹Ð»Ð¾Ð². Ð ÐµÐ·ÑÐ»ÑÑÐ°ÑÐ¾Ð¼ ÑÐ°Ð±Ð¾ÑÑ ÑÐ²Ð»ÑÐµÑÑÑ: 1)Â Ð¾Ð±ÑÑÐµÐ½Ð½Ð°Ñ Ð¼Ð¾Ð´ÐµÐ»Ñ Ð´Ð»Ñ ÑÑÐ°Ð½ÑÐºÑÐ¸Ð±Ð°ÑÐ¸Ð¸ ÑÐµÑÐ¸, ÐºÐ¾ÑÐ¾ÑÐ°Ñ ÑÐµÐ°Ð»Ð¸Ð·Ð¾Ð²Ð°Ð½Ð° ÐºÐ°Ðº Ð¼Ð¾Ð´ÐµÐ»Ñ ÑÐµÐºÑÑÑÐµÐ½ÑÐ½ÑÑ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÑ ÑÐµÑÐµÐ¹ Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ Ð±Ð¸Ð±Ð»Ð¸Ð¾ÑÐµÐºÐ¸Â Tensorflow. 2)Â RESTfulÂ ÑÐµÑÐ²Ð¸Ñ Ð½Ð°Â PythonÂ Ð´Ð»Ñ ÑÑÐ°Ð½ÑÐºÑÐ¸Ð±Ð°ÑÐ¸Ð¸ Ð²ÑÐ¾Ð´Ð½Ð¾Ð³Ð¾ Ð°ÑÐ´Ð¸Ð¾ ÑÐ°Ð¹Ð»Ð°. 3)Â RESTfulÐÐµÐ± Ð¿ÑÐ¸Ð»Ð¾Ð¶ÐµÐ½Ð¸Ðµ,Â ÐºÐ¾ÑÐ¾ÑÐ¾Ðµ Ð¿ÑÐµÐ´Ð¾ÑÑÐ°Ð²Ð»ÑÐµÑ Ð¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°ÑÐµÐ»ÑÑÐºÐ¸Ð¹ Ð²ÐµÐ± Ð¸Ð½ÑÐµÑÑÐµÐ¹Ñ Ð² Ð²Ð¸Ð´Ðµ Ð¾Ð´Ð½Ð¾ÑÑÑÐ°Ð½Ð¸ÑÐ½Ð¾Ð³Ð¾ Ð¿ÑÐ¸Ð»Ð¾Ð¶ÐµÐ½Ð¸Ñ, Ð° ÑÐ°Ðº Ð¶Ðµ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð½ÑÐ¹ Ð¸Ð½ÑÐµÑÑÐµÐ¹Ñ Ð¿ÑÐ¸Ð»Ð¾Ð¶ÐµÐ½Ð¸Ñ Ð½Ð° Ð¾ÑÐ½Ð¾Ð²ÐµÂ httpÂ Ð´Ð»Ñ ÑÑÐ°Ð½ÑÐºÑÐ¸Ð±Ð°ÑÐ¸Ð¸ ÑÐµÑÐ¸ Ð¸Ð»Ð¸ Ð°ÑÐ´Ð¸Ð¾ ÑÐ°Ð¹Ð»Ð¾Ð².Â ÐÐ¾ÑÐ¾ÑÑÐ¹ Ð½Ð°Ð¿Ð¸ÑÐ°Ð½ Ð½Ð° ÑÐ·ÑÐºÐµ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸ÑÂ JavaÂ Ð¸Â JavascriptÂ Ð¸ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·ÑÐµÑ Ð±Ð°Ð·Ñ Ð´Ð°Ð½Ð½ÑÑÂ MongoDB.Â Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½Ð½ÑÐ¹ Ð¿ÑÐ¾ÑÐ¾ÑÐ¸Ð¿ Ð¼Ð¾Ð¶ÐµÑ ÑÐ°Ð·Ð²Ð¸Ð²Ð°ÑÑÑÑ Ð² ÑÐ»ÐµÐ´ÑÑÑÐ¸Ñ Ð½Ð°Ð¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸ÑÑ: 1)Â ÐÐ¾Ð±Ð°Ð²Ð»ÐµÐ½Ð¸Ðµ Ð°Ð²ÑÐ¾ÑÐ¸Ð·Ð°ÑÐ¸Ð¸ Ð² Ð²ÐµÐ± Ð¿ÑÐ¸Ð»Ð¾Ð¶ÐµÐ½Ð¸Ðµ. 2)Â ÐÐ¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ ÑÐµÐºÑÑÑÐµÐ½ÑÐ½Ð¾Ð¹ Ð¼Ð¾Ð´ÐµÐ»Ð¸ Ð½Ð° Ð½Ð¾Ð²ÑÑ Ð´Ð°Ð½Ð½ÑÑ. 3)Â ÐÑÐµÐ´Ð¾ÑÑÐ°Ð²Ð»ÐµÐ½Ð¸Ðµ Ð¾Ð±ÑÐµÐ³Ð¾Â APIÂ Ð´Ð»Ñ ÑÑÐ°Ð½ÑÐºÑÐ¸Ð¿ÑÐ¸Ð¸ ÑÐµÑÐ¸. 4)Â Ð¡Ð¾Ð²ÐµÑÑÐµÐ½ÑÑÐ²Ð¾Ð²Ð°Ð½Ð¸Ðµ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² ÑÑÐ°Ð½ÑÐºÑÐ¸Ð±Ð°ÑÐ¸Ð¸ ÑÐµÑÐ¸.
description: The object of the research is the information system of speech transcription. The aim of the work is to create a prototype information system for speech transcription, which provides the ability to perform transcription of a recording of users' speech or downloaded audio files. The result of the work is: 1.Â a trained model for speech transcription, which is implemented as a recurrent neural network model using the Tensorflow library. 2.Â RESTful service in Python for transcribing the input audio file. 3.Â RESTful Web application that provides a web user interface in the form of a single page application, as well as an http-based application API for transcribing speech or audio files. Which is written in the Java and Javascript programming language and uses the MongoDB database. The developed prototype can be developed in the following directions: 1.Â Adding authorization to the web application. 2.Â Before training the recurrent model on new data. 3.Â Providing a common API for speech transcription. 4.Â Improvement of speech transcription methods.