Bonang Barung Instrument

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邦朗巴龙（Bonang Barung）声音分类数据集 ## 概述 本数据集收录了爪哇传统佳美兰乐器邦朗巴龙的音频录音。数据按不同噪声类型与声音类别进行结构化组织，可适用于声音分类、降噪、AI驱动音乐分析等机器学习相关应用场景。 ## 文件夹结构与标签 本数据集划分为三大噪声类型： - 灰色噪声（noise grey, ng）：具备灰色噪声特性的背景噪声 - 乐器噪声（noise instrumen, ni）：源自其他乐器的噪声 - 语音噪声（noise speech, ns）：源自人类语音的噪声 每类噪声下包含多个声音类别，对应邦朗巴龙的不同演奏技法： gembyang、mbalung、mipil lamba、mipil rangkep、nduduk gembyang ## 潜在应用场景 本数据集可应用于多类音频与机器学习任务，包括： 🎵 面向声音分类的机器学习模型研发 🎧 音频信号处理与降噪研究 📊 音乐信息检索（MIR） 🎼 佳美兰音乐分析与保护