title: ÐÐµÐ½ÐµÑÐ°ÑÐ¸Ñ Ð¼ÑÐ·ÑÐºÐ°Ð»ÑÐ½Ð¾Ð³Ð¾ Ð°ÐºÐºÐ¾Ð¼Ð¿Ð°Ð½ÐµÐ¼ÐµÐ½ÑÐ° Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ Ð²Ð¾ÐºÐ°Ð»ÑÐ½Ð¾Ð¹ Ð¿Ð°ÑÑÐ¸Ð¸
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: Accompanimentgeneration on the basis of the vocal part
Creators: name: Ð§ÐµÐ¼ÑÑÐ¾Ð², ÐÐ°ÐºÑÐ¸Ð¼
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: 2023
Subjects: Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼ Ð¿Ð¾Ð¸ÑÐºÐ° ÑÐ¾Ð½Ð°Ð»ÑÐ½Ð¾ÑÑÐ¸
Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÐµ ÑÐµÑÐ¸
Ð°ÐºÐºÐ¾Ð¼Ð¿Ð°Ð½ÐµÐ¼ÐµÐ½Ñ
Ð³ÐµÐ½ÐµÑÐ°ÑÐ¸Ñ Ð¼ÑÐ·ÑÐºÐ¸
Ð°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸ÑÐµÑÐºÐ°Ñ ÐºÐ¾ÑÑÐµÐºÑÐ¸Ñ Ð½Ð¾Ñ
key-finding algorithm
neural networks
accompaniment
music generation
automatic note correction

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description: The subject of the graduate qualification work is Â«Accompaniment generation on the basis of the vocal partÂ». This work is devoted to the study of the problem of generation of musical sequences with the help of electronic computing devices. Tasks that were solved during the research: 1. Studying of current methods of generating musical compositions. 2. Studying modern types of audio data representation and tools for their processing. 3. Implementation of the necessary algorithms for audio data processing and a model for accompaniment generation. 4. Studying and evaluation of the results of the developed modules. This paper analyzes and reviews existing methods of music generation. A model based on neural networks with long short-term memory is implemented. To process the input data the tone search algorithm and automatic correction of notes are used, allowing the model to generate melodious musical parts. Tests and analysis of the effectiveness of the developed modules have been performed.