Bonang Barung Instrument
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Bonang Barung Sound Classification Dataset Overview This dataset contains audio recordings of Bonang Barung, a traditional Javanese gamelan instrument. The data is structured into different noise types and sound classes, making it suitable for machine learning applications such as sound classification, denoising, and AI-driven music analysis. Folder Structure and Labels The dataset is organized into three major noise types: noise grey (ng) → Background noise with grey noise characteristics. noise instrumen (ni) → Noise from other musical instruments. noise speech (ns) → Noise from human speech. Each noise type contains multiple sound classes, representing different playing techniques of Bonang Barung: gembyang mbalung mipil lamba mipil rangkep nduduk gembyang Potential Applications This dataset can be useful for various audio and machine learning tasks, including: 🎵 Machine learning models for sound classification 🎧 Audio signal processing and denoising research 📊 Music information retrieval (MIR) 🎼 Gamelan music analysis and preservation



