| _version_ | 1866902315443683328 |
|---|---|
| author | Pichler, David |
| author_facet | Pichler, David |
| contents | <p>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.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17371329 |
| institution | Zenodo |
| language | eng |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Automatic detection of pitch correction in singing using deep learning image classification Pichler, David <p>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.</p> |
| title | Automatic detection of pitch correction in singing using deep learning image classification |
| url | https://doi.org/10.5281/zenodo.17371329 |