title: ÐÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸Ðµ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð¾Ð² ÑÑÐ°Ð½ÑÐºÑÐ¸Ð±Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð¸ Ð°ÐºÑÐµÐ½ÑÑÐ°ÑÐ¸Ð¸ ÑÑÑÑÐºÐ¾Ð³Ð¾ ÑÐµÐºÑÑÐ° Ð² ÑÐ¸ÑÑÐµÐ¼Ðµ Ð³Ð¾Ð»Ð¾ÑÐ¾Ð²Ð¾Ð³Ð¾ ÑÐ¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ñ
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: Using algorithms for transcribing and accentuation of Russian text in a voice control system
Creators: name: ÐÐ¾Ð»ÐµÐ², ÐÐ½Ð´ÑÐµÐ¹
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Ð°ÑÐ¸Ð½Ð½Ð¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ
Ð ÐµÑÑ
Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ° ÐµÑÑÐµÑÑÐ²ÐµÐ½Ð½Ð¾Ð³Ð¾ ÑÐ·ÑÐºÐ°
Ð³Ð¾Ð»Ð¾ÑÐ¾Ð²Ð¾Ðµ ÑÐ¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ðµ
natural language processing
voice control

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description: Graduate qualification work on the topic: "Using algorithms for transcribing and accentuation of Russian text in a voice control system". This work is concerned with the creation of a more accurate phonetic transcription, using for this purpose transcribing and accentuation algorithms, as well as a developed neural network. Creating an acoustic model based on this transcription and applying it in an application with implemented voice control, namely a Telegram bot that receives and stores links to Yandex.Maps with a specific address or a constructed route. Tasks to be solved in the EKR: Research of the subject area and open-source speech recognition libraries. Study Existing methods to improve the accentuation algorithm. Develop a neural network and train it to improve the accentuation algorithm. Obtain a transcription and train an acoustic model based on it. Create a test data collection algorithm and collect test data by topic. Conduct a Comparison of the acoustic model with the competitors. Develop a Telegram bot in java using modern libraries. Apply the acoustic model and transcriptions for voice control.