Year: 2024
Type: conference-paper
Abstract: This paper investigates how audio augmentation techniques improve the classification accuracy of guitar chords. By applying methods such as noise addition, speed modification, and time shifting, a CNN trained on an augmented dataset achieved better results compared to non-augmented data. The findings highlight the importance of task-specific augmentation techniques in enhancing audio analysis
Authors: A. I. Pirko, I. B. Boretska
Institution: Ukrainian National Forestry University
Language: English
Topic: Music and Audio Processing
Subfield: Signal Processing
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4404716024