Automatic detection of pitch correction in singing using deep learning image classification

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.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-16
DOI
https://doi.org/10.5281/zenodo.17371328
Primary Topic
Music and Audio Processing
Type
article
Field-Weighted Citation Impact
0.00
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article

Automatic detection of pitch correction in singing using deep learning image classification

Zenodo (CERN European Organization for Nuclear Research)
Music and Audio Processing
article

Automatic detection of pitch correction in singing using deep learning image classification

article en

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.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 42%
Music and Audio Processing
DOIOpen Access PDFOpenAlex
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Automatic detection of pitch correction in singing using deep learning image classification · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS