Automatic detection of pitch correction in singing using deep learning image classification
Year: 2025
Type: dissertation
Abstract: This thesis investigates the capability of convolutional neural networks (CNN) to detect automated pitch correction in vocal performances, comparing multiple visual audio representations, classification tasks, and CNN architectures.
Author: Pichler, David
Language: English
Topic: Music and Audio Processing
Subfield: Signal Processing
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7092203188
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