Development of Methods of Intellectual Analysis of Audio Data

This paper focuses on the ANN approach for Note recognition by frequency and amplitude involves extracting relevant acoustic features. Precedent data is used to design a solution for recognizing melody using a neural network model with custom architecture and metrics assess the quality of the result.

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Publication Details

Published
2024-11-13
DOI
https://doi.org/10.1109/summa64428.2024.10803699
Primary Topic
Music and Audio Processing
Type
article
Field-Weighted Citation Impact
0.00
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article

Development of Methods of Intellectual Analysis of Audio Data

Maxim Likhachev
Music and Audio Processing
article

Development of Methods of Intellectual Analysis of Audio Data

Maxim Likhachev
article en

Abstract

This paper focuses on the ANN approach for Note recognition by frequency and amplitude involves extracting relevant acoustic features. Precedent data is used to design a solution for recognizing melody using a neural network model with custom architecture and metrics assess the quality of the result.

Voronezh State University (RU)
Openalex Percentile: Top 73%
Music and Audio Processing
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Development of Methods of Intellectual Analysis of Audio Data — Maxim Likhachev · (2024) | TGRS Research Map | TGRS