Harmonic Frontier Audio - Kalimba (Preview Pack, v0.9)

Harmonic Frontier Audio – Kalimba (Preview, v0.9) A high-fidelity world instrument dataset designed for AI training, music research, and creative sound development. Kalimba (Preview), created by Harmonic Frontier Audio, provides a compact reference set demonstrating the quality, formatting, and metadata conventions used in the World Resonance Gallery in the Harmonic Frontier Audio catalogue. 🔎 Summary This dataset offers high-quality, rights-cleared recordings of the Kalimba — a plucked idiophone of African origin, also known as the thumb piano or Mbira.The recordings capture the unique metallic resonance of the instrument’s tines and the warm body tone that follows each strike, making it valuable for AI music modeling, acoustic analysis, and cross-cultural sound synthesis research. Developed by Harmonic Frontier Audio, this collection follows The Proteus Standard™ for dataset provenance, transparency, and ethical AI use.It provides researchers, developers, and sound designers with clean, consistent audio files that demonstrate the Kalimba’s percussive clarity, sustained decay, and expressive dyadic and arpeggiated gestures. If you find this dataset useful, please consider giving it a 🤍 on Hugging Face to help others discover it. 🎶 About the Kalimba The Kalimba is a lamellaphone from the Mbira family of instruments, originating in sub-Saharan Africa.It consists of metal tines attached to a resonating wooden body, played by plucking the tines with the thumbs.The sound is at once percussive and melodic — metallic transients followed by rich resonant decay. Kalimbas are often tuned to diatonic or pentatonic scales, though alternate tunings exist across African regions.This preview dataset was recorded on a 17-key C major Kalimba, offering single-note, dyadic, and arpeggiated gestures across the full playable range.The goal was to capture the instrument’s core articulations neutrally — not tied to any specific cultural or stylistic context — providing universal training material for AI and creative sound development. 📂 Contents Audio Files (.wav) Recorded at 96 kHz / 24-bit WAV format Exported as mono Fade-ins and fade-outs of 3–5 ms for transient consistency DC offset minimized No EQ, compression, or post-processing applied High-pass filtered at ~40 Hz to remove subsonic rumble Categories in this Preview Sustain Single tines plucked and allowed to decay naturally Dyad Two tines plucked simultaneously to form harmonic dyads Arpeggio Sequential plucks outlining triadic shapes Chord Three-note simultaneous strikes forming simple triads Rhythm Repeated tine plucks at moderate tempo, emphasizing percussive character Metadata (.csv)Includes structured fields for file name, category, content, note pitch, Kalimba tab number (where applicable), microphone, channel configuration, sample rate, bit depth, recording chain, and dataset version. 🎤 Recording Notes Recorded in a treated studio environment using a dual-mic setup blended to mono: Front Mic (transients): Oktava MK-012 (small-diaphragm condenser), 8″ above the tines Rear Mic (resonance): RØDE NT1-A (large-diaphragm condenser), 6″ behind the sound holes Recording chain: Oktava MK-012 + RØDE NT1-A → Zoom F8n Pro Captured at 96 kHz / 32-bit float, rendered as 96 kHz / 24-bit mono WAV for release. Transient integrity preserved; minor ambient noise retained for natural realism. ⚡ Usage This preview dataset is designed for: Evaluation of Harmonic Frontier Audio dataset structure and fidelity Testing AI and DSP systems that model or classify acoustic instruments Creative sound design, instrument synthesis, and timbre modeling research 👉 Note: This is not a full dataset.The complete Harmonic Frontier Audio dataset for Kalimba will include: Full dynamic range and velocity layers Expanded tuning systems and gesture types Additional playing styles (rolls, damping, harmonics) 💡 Full Dataset Availability This is a preview pack of the Kalimba Dataset.The complete dataset — with extended articulations and dynamic layers — will be available for licensing. For licensing inquiries:📩 [e-mail] 🔗 Explore More from Harmonic Frontier Audio Scottish Smallpipes (Preview) Highland Bagpipes (Preview) Irish Tin Whistle in D (Preview) Subharmonic Phonation / Vocal Fry (Preview) (All datasets follow The Proteus Standard™ for ethical dataset provenance and licensing.) 📜 License Released under CC BY-NC 4.0. Free for non-commercial use, testing, and research. Commercial licensing available via Harmonic Frontier Audio. A formal rights declaration is included in this dataset bundle. 📧 Contact Harmonic Frontier Audio📩 [e-mail]🌐 https://harmonicfrontieraudio.com/ 🔮 Future Roadmap This preview release is part of the Harmonic Frontier Audio – World Resonance Gallery.Upcoming planned datasets include: Kalimba (Full Dataset) Didgeridoo Shakuhachi Over time, Harmonic Frontier Audio will expand the World Resonance Gallery alongside its Extended Vocal Techniques Series and Celtic Constellations Series — creating the first unified library of ethical, rights-cleared world and human sound datasets for AI training, synthesis, and sound design. 🗒️ Release Notes Version 0.9 (Nov. 2025) – Initial Preview Pack release for Kalimba.See CHANGELOG.md for detailed version history. Citation If you use this dataset in your research, please cite: Pullen, B. (2025). Kalimba Dataset (Preview) [Data set]. Harmonic Frontier Audio. Zenodo.https://doi.org/10.5281/zenodo.17588097 ORCID: https://orcid.org/0009-0003-4527-0178 BibTeX @dataset{pullen_2025_kalimba_preview, author = {Blake Pullen}, title = {Kalimba Dataset (Preview)}, year = {2025}, publisher = {Harmonic Frontier Audio}, version = {0.9}, doi = {10.5281/zenodo.17588097}, url = {https://doi.org/10.5281/zenodo.17588097} }# 和声前沿音频（Harmonic Frontier Audio）——拇指琴（Kalimba）（预览版v0.9） 本数据集为高保真世界乐器数据集，专为人工智能（AI）训练、音乐研究及创意音效开发打造。 本次发布的拇指琴（Kalimba）预览数据集由和声前沿音频打造，作为精简参考集，展示了和声前沿音频产品库中「世界共振画廊（World Resonance Gallery）」系列所采用的音频质量标准、文件格式规范与元数据约定。 🔎 摘要 本数据集收录了高质量且已完成版权合规处理的拇指琴（Kalimba）录音。拇指琴是源自非洲的弹拨体鸣乐器，亦称拇指钢琴或姆比拉（Mbira）。录音完整捕捉了琴键独特的金属共振质感，以及每次拨奏后产生的温润腔体共鸣，可广泛应用于AI音乐建模、声学分析及跨文化音效合成研究。 本数据集由和声前沿音频开发，遵循《普罗透斯标准（The Proteus Standard™）》，确保数据集溯源透明、符合人工智能伦理使用规范。其提供的音频文件纯净统一，可清晰展现拇指琴的打击乐清晰度、持续衰减特性，以及富有表现力的双音与琶音演奏技法。 若您认为本数据集具备实用价值，欢迎在Hugging Face平台为其点赞，助力更多用户发现该资源。 🎶 关于拇指琴 拇指琴属于姆比拉家族的簧片琴（lamellaphone），起源于撒哈拉以南非洲地区。其结构为将金属琴键附着于共鸣木质腔体之上，通过拇指拨弹琴键发声。音色兼具打击乐质感与旋律性——先呈现金属瞬态音色，随后伴随饱满的共振衰减音尾。 全球非洲地区的拇指琴常采用自然大调或五声音阶定弦，亦存在其他地域性定弦方式。本次预览数据集使用17键C大调拇指琴录制，覆盖全演奏音域，包含单音、双音及琶音演奏样本。本数据集旨在中性还原该乐器的核心演奏技法，不绑定特定文化或风格语境，可为AI训练与创意音效开发提供通用化训练素材。 📂 内容说明 音频文件（.wav） 录制格式为96kHz/24位WAV，导出为单声道。为保证瞬态一致性，添加3–5毫秒的淡入淡出处理，最小化直流偏移，未进行均衡、压缩或其他后期处理，并采用约40Hz高通滤波以去除亚低频杂音。 预览数据集分类： - 持续音（Sustain）：单键拨奏并自然衰减 - 双音（Dyad）：同时拨奏两键以构成和声双音 - 琶音（Arpeggio）：按序拨奏以构成三和弦音型 - 和弦（Chord）：同时拨奏三键以构成简易三和弦 - 节奏型（Rhythm）：以适中速度重复拨奏琴键，突出打击乐特性 元数据（.csv）包含结构化字段，涵盖文件名、分类、内容说明、音符音高、拇指琴琴键编号（如适用）、麦克风型号、声道配置、采样率、位深度、录制链路及数据集版本等信息。 📤 录制说明 本次录制于经过声学处理的专业工作室，采用双麦克风拾音并混合为单声道： 前置麦克风（捕捉瞬态）：Oktava MK-012 小振膜电容麦克风，安装于琴键上方8英寸处 后置麦克风（捕捉共振）：RØDE NT1-A 大振膜电容麦克风，安装于音孔后方6英寸处 录制链路：Oktava MK-012 + RØDE NT1-A → Zoom F8n Pro 原始录制参数为96kHz/32位浮点，最终导出为96kHz/24位单声道WAV格式以供发布。完整保留瞬态音色，保留少量环境杂音以增强自然真实感。 ⚡ 使用场景 本预览数据集适用于： 1. 评估和声前沿音频的数据集结构与音质保真度 2. 测试用于声学乐器建模或分类的人工智能（AI）与数字信号处理（DSP）系统 3. 创意音效设计、乐器合成及音色建模研究 👉 注意：本数据集并非完整版。和声前沿音频的完整拇指琴数据集将包含： - 完整动态范围与力度分层 - 拓展定弦系统与演奏技法类型 - 新增演奏风格（轮奏、制音、泛音演奏等） 💡 完整数据集获取 本数据集为拇指琴数据集的预览包。完整数据集包含拓展演奏技法与动态分层，将通过授权方式开放获取。如需咨询授权事宜，请联系：📩 [e-mail] 🔗 更多和声前沿音频作品 - 苏格兰小风笛（预览版） - 高地风笛（预览版） - D调爱尔兰锡哨（预览版） - 次谐波发声/人声沙音（预览版） （所有数据集均遵循《普罗透斯标准（The Proteus Standard™）》，确保数据集溯源合规与授权规范。） 📜 许可协议 本数据集采用CC BY-NC 4.0协议发布。可免费用于非商业用途、测试及研究。商业授权需通过和声前沿音频办理。数据集包中包含正式的权利声明文件。 📧 联系方式 和声前沿音频 📩 [e-mail] 🌐 https://harmonicfrontieraudio.com/ 🔮 未来规划 本次预览发布属于和声前沿音频「世界共振画廊（World Resonance Gallery）」系列的一部分。未来计划推出的数据集包括： - 拇指琴（完整版） - 迪吉里杜管 - 尺八 未来，和声前沿音频将持续拓展「世界共振画廊」系列，并同步推出「扩展人声技法系列」与「凯尔特星群系列」，打造首个合规且已完成版权确权的世界乐器与人类声音数据集统一库，服务于AI训练、音效合成及创意音效开发。 🗒️ 发布说明 版本0.9（2025年11月）——拇指琴预览版初始发布。详细版本历史请参阅CHANGELOG.md文件。 📝 引用方式 若您在研究中使用本数据集，请按照以下方式引用： Pullen, B. (2025). Kalimba Dataset (Preview) [Data set]. Harmonic Frontier Audio. Zenodo. https://doi.org/10.5281/zenodo.17588097 ORCID: https://orcid.org/0009-0003-4527-0178 BibTeX引用格式： @dataset{pullen_2025_kalimba_preview, author = {Blake Pullen}, title = {Kalimba Dataset (Preview)}, year = {2025}, publisher = {Harmonic Frontier Audio}, version = {0.9}, doi = {10.5281/zenodo.17588097}, url = {https://doi.org/10.5281/zenodo.17588097} }