YMIR: A new Benchmark Dataset and Model for Arabic Yemeni Music Genre Classification Using Convolutional Neural Networks

1. 1Collect and preprocess a large dataset of traditional Yemeni music audio clips
2. 2Develop and train convolutional neural networks for music genre classification
3. 3Evaluate the performance of the model on the YMIR dataset
4. 4Compare the results with existing models and datasets to highlight the importance of culturally specific music classification

Data scientists and machine learning engineers on a team can benefit from this research to improve music genre classification models, while music enthusiasts and researchers can utilize the YMIR dataset for further studies

💡 The YMIR dataset and model provide a significant contribution to the field of music information retrieval by addressing the underrepresentation of culturally specific music traditions

🎵 Introducing YMIR: a new benchmark dataset and model for Arabic Yemeni music genre classification using CNNs #musicinformationretrieval #arabicmusic