Analysis of Audio Data and Prediction of the Genre using Nov…
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- DOI 10.1109/icirca54612.2022.9985019
- OpenAlex ID W4313289487
- Type Conference-paper
- Language EN
- Published 21 Sep 2022
- Pages 1773–1777
- Source International Conference on Inventive Re…
- FWCI 0.39
- Countries 1
- Institutions 1
- Added 10 Oct 2025
- Updated 05 Oct 2026
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Analysis of Audio Data and Prediction of the Genre using Novel Random Forest and Decision Tree
Conference-paper 2022 EN
The main objective of the study is to classify the music genre using the features that are extracted from audio files. The classification is done using Novel Random Forest and Decision Tree and corresponding results are compared in terms of accuracy. Materials and Methods: The GTZAN dataset used in this study is obtained from the MARSYAS website, which is used for Music Information Retrieval, cons…
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2 authors| # | Author | Institutions | ORCID |
|---|---|---|---|
| 1 | Vaddi Nikhilesh Pavan | Saveetha University (IN) | — |
| 2 | R. Dhanalakshmi | Saveetha University (IN) |
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