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CHANGELOG.md ADDED
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+ # Changelog – Harmonic Frontier Audio: Subharmonic Phonation / Vocal Fry (Preview Pack)
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+
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+ ## v0.9 – November 2025
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+ - Initial release of the **Overtone Singing Preview Pack**
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+ - Includes: sustained fundamental tones with harmonic intervals, arpeggios, scales, glissandi, and a short original melodic exercise demonstrating transitions between harmonics
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+ - Recorded in a treated studio environment using a Rode NT1-A microphone → Zoom F8n Pro signal chain
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+ - Captured at 96kHz / 32-bit float and exported as 96kHz / 24-bit mono WAV
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+ - 3–5 ms fade-ins and fade-outs applied for transient consistency; no normalization or post-processing used
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+ - Non-lexical, culturally neutral representation of the overtone singing technique, referencing traditions such as Tuvan and Mongolian throat singing and Tibetan Chant but not imitating any specific style
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+ - Metadata sheet, README documentation, and rights declaration included
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+ HFA_OvertoneSinging_Sustain_A3_Arpeggio_h4_h5_h6.wav,Human voice (overtone singing),Overtone singing — sustained fundamental A3; harmonics 4–5–6 arpeggio.,A3,Arpeggio,4-5-6,h4: 880.00 Hz; h5: 1100.00 Hz; h6: 1320.00 Hz,False,64.0,Rode NT1-A,1,96000,24,Zoom F8n Pro; Rode NT1-A,v0.9-preview,A3
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+ HFA_OvertoneSinging_Sustain_D4_Glissando_h3toh8.wav,Human voice (overtone singing),Overtone singing — sustained fundamental D4; harmonics 3–8 glissando.,D4,Glissando,3-8,h3: 880.99 Hz; h8: 2349.32 Hz,False,,Rode NT1-A,1,96000,24,Zoom F8n Pro; Rode NT1-A,v0.9-preview,D4
README.md ADDED
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+ pretty_name: Overtone Singing (Preview)
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+ license: cc-by-nc-4.0
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+ size_categories: [n<1K]
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+ tags:
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+ - audio
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+ - music
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+ - dataset
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+ - vocals
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+ - overtone_singing
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+ - harmonic_singing
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+ - khoomei
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+ - throat_singing
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+ - extended_vocal_techniques
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+ - world_music
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+ - folk_vocals
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+ - acoustic_voice
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+ - ethnomusicology
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+ - sound_design
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+ - expressive_voice
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+ - ai_training_data
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+ - sampling_96khz
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+ - bitdepth_24bit
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+ - mono
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+ task_categories: [other]
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+ language: [und]
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+ thumbnail: thumbnail.png
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+ description: "A high-fidelity vocal dataset demonstrating overtone singing — a complex extended vocal technique found in multiple world singing traditions — designed for AI training, music research, and creative sound development."
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+ ---
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+
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+ ![Dataset Thumbnail](./thumbnail.png)
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+
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+ # Harmonic Frontier Audio – Overtone Singing (Preview, v0.9)
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+
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+ **A high-fidelity vocal dataset designed for AI training, music research, and creative sound development.**
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+
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+ **Overtone Singing (Preview)**, created by **Harmonic Frontier Audio**, provides a compact reference set demonstrating the quality, formatting, and metadata conventions used in the Harmonic Frontier Audio *Extended Vocal Techniques Spectrum*.
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+
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+ ---
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+
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+ ### 🔎 Summary
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+
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+ This dataset provides high-quality, rights-cleared audio recordings for use in **AI training, music research, and sound design**, capturing the extraordinary vocal phenomenon known as **overtone singing** (also called *harmonic singing* or *Khoomei*).
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+ In overtone singing, the vocalist isolates and amplifies specific harmonics above a sustained fundamental pitch, producing the perception of two or more distinct tones simultaneously.
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+
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+ Developed by **Harmonic Frontier Audio**, this dataset follows *The Proteus Standard™* for dataset provenance and ethical AI use.
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+ It provides researchers, developers, and musicians with clean, controlled examples of overtone production for applications in **voice synthesis**, **spectral modeling**, and **cross-cultural timbre analysis**.
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+
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+ ---
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+
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+ ## 🎶 About Overtone Singing
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+
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+ **Overtone singing** is one of the world’s most striking and acoustically fascinating vocal arts.
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+ Practitioners manipulate the shape of the vocal tract to filter and emphasize individual harmonics, creating the illusion of multiple pitches from a single voice.
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+
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+ While it is best known from **Tuvan** and **Mongolian** traditions (such as *Khoomei*, *Sygyt*, and *Kargyraa*), variations of overtone singing appear across many cultures — including Tibetan chant, Sardinian *cantu a tenore*, and modern Western overtone choirs.
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+
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+ This dataset presents a **neutral, non-traditional representation** of overtone singing.
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+ It is designed not to imitate any specific cultural style but to serve as a **technical and expressive study** of harmonic isolation and control — useful for both acoustic analysis and generative modeling of the human voice.
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+
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+ If you find this dataset useful, please consider giving it a 🤍 on Hugging Face to help others discover it.
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+
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+ ---
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+
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+ ## 📂 Contents
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+
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+ **Audio Files (.wav)**
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+ - Recorded at **96 kHz / 24-bit** WAV format
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+ - Exported as **mono**
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+ - Fade-ins and fade-outs of **3–5 ms** applied for transient consistency
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+ - DC offset minimized and normalized to maintain consistent loudness
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+ - No compression, normalization, or external processing applied
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+ - High-pass filtered at ~40 Hz to remove subsonic rumble
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+
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+ ### Categories in this Preview
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+ 1. **Sustained Fundamentals**
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+ - Long tones on single fundamentals with isolated harmonics
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+ 2. **Harmonic Intervals**
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+ - Alternation between two harmonics within a sustained fundamental
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+ 3. **Arpeggio Gestures**
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+ - Sequential harmonic articulations forming triadic or scalar structures
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+ 4. **Glissando**
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+ - Continuous overtone sweeps across the harmonic series
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+ 5. **Short Melodic Exercise**
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+ - Simple original melody emphasizing controlled harmonic shifts and transitions
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+
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+ ---
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+
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+ **Metadata (.csv)**
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+ Includes structured fields for file name, category, content, fundamental pitch, harmonic numbers and pitches, microphone, channel configuration, sample rate, bit depth, recording chain, and dataset version.
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+
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+ ---
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+
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+ ## 🎤 Recording Notes
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+
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+ - Recorded in a treated studio environment using a **single-mic setup**:
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+ - **Microphone:** Rode NT1-A condenser microphone
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+ - **Recording chain:** Rode NT1-A → Zoom F8n Pro
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+ - Recorded at **96 kHz / 32-bit float**, rendered as **96 kHz / 24-bit** mono WAV for release.
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+ - Room tone and subtle breath noise were preserved to retain the natural acoustic realism of overtone production.
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+
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+ ---
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+
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+ ## 🌈 Spectrogram Preview
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+
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+ Below is a spectrogram showing the clear separation of harmonic peaks above the sustained fundamental pitch, characteristic of overtone singing:
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+
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+ ![Spectrogram Preview](Spectrogram_Preview.png)
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+
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+ ---
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+
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+ ## 🎧 Listen – Demonstration Track
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+
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+ Below is a short mixed and mastered music example featuring this dataset in context.
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+ It illustrates how **Overtone Singing (Preview)** can be integrated into a musical arrangement, highlighting both its resonant fundamentals and harmonic overtones.
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+
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+ <audio controls style="width:100%;">
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+ <source src="https://huggingface.co/datasets/Harmonic-Frontier-Audio/Overtone_Singing_Preview/resolve/main/Demos/OvertoneSinging_DemoTrack_Master.mp3" type="audio/mpeg">
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+ Your browser does not support the audio element.
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+ </audio>
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+
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+ 🎵 **Track:** “Overtone Example”
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+ 🎚️ **Composer / Producer:** Blake Pullen
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+ 📦 **Source:** Harmonic Frontier Audio – *Overtone Singing (Preview)*
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+
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+ 📜 *This track is provided for demonstration purposes only and is not part of the dataset.
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+ It may not be used for AI training, redistribution, or derivative works.*
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+
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+ 🪶 *The instrumental accompaniment was generated using Suno’s Pro plan under a commercial license.
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+ All vocal performances and featured dataset sounds were performed, recorded, and produced by Blake Pullen for Harmonic Frontier Audio.*
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+
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+ ---
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+
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+ ## ⚡ Usage
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+
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+ This preview pack is designed for:
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+ - **Evaluation** of Harmonic Frontier Audio dataset structure and fidelity
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+ - **Testing** AI and DSP systems that model or classify harmonic timbres
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+ - **Creative sound design** and **extended voice synthesis** research
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+
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+ 👉 Note: This is **not a full dataset**.
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+ The complete Harmonic Frontier Audio dataset for **Overtone Singing** will include:
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+ - Expanded harmonic and vowel variations
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+ - Dynamic overtone transitions and melodic gestures
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+ - Additional tuning modes and glissando articulations
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+
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+ ---
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+
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+ ## 💡 Full Dataset Availability
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+
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+ This is a **preview pack** of the *Overtone Singing Dataset*.
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+ The complete dataset — with extended harmonic content and melodic variation — will be available for **licensing**.
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+
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+ For licensing inquiries:
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+ 📩 info@harmonicfrontieraudio.com
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+
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+ ---
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+
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+ ## 📥 How to Use This Dataset in Python
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+
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+ You can load the Parquet-converted version of this dataset directly with the `datasets` library:
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ dataset = load_dataset(
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+ "Harmonic-Frontier-Audio/Overtone_Singing_Preview",
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+ split="train"
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+ )
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+
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+ print(dataset)
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+ ```
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+
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+ > ⚙️ *Note: Parquet conversion and `load_dataset()` support will be available within 2–3 days of publication.*
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+
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+ ---
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+
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+ ### 🔗 Explore More from Harmonic Frontier Audio
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+
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+ - [Subharmonic Phonation / Vocal Fry (Preview)](https://huggingface.co/datasets/Harmonic-Frontier-Audio/Subharmonic_Phonation_Vocal_Fry_Preview)
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+ - [Whisper Phonation (Preview)](https://huggingface.co/datasets/Harmonic-Frontier-Audio/Whisper_Phonation_Preview)
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+ - [Falsetto (Preview)](https://huggingface.co/datasets/Harmonic-Frontier-Audio/Falsetto_Preview)
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+ - [Vocal Percussion (Preview)](https://huggingface.co/datasets/Harmonic-Frontier-Audio/Vocal_Percussion_Preview)
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+
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+ *(All datasets follow The Proteus Standard™ for ethical dataset provenance and licensing.)*
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+
186
+ ---
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+
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+ ## 📜 License
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+
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+ Released under **[CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/)**.
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+ - Free for non-commercial use, testing, and research.
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+ - Commercial licensing available via Harmonic Frontier Audio.
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+ - A formal rights declaration is included in this dataset bundle.
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+
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+ ---
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+
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+ ## 📧 Contact
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+
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+ Harmonic Frontier Audio
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+ 📩 info@harmonicfrontieraudio.com
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+ 🌐 https://harmonicfrontieraudio.com/
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+
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+ ---
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+
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+ ## 🔮 Future Roadmap
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+
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+ This preview release is part of the **Harmonic Frontier Audio – Extended Vocal Techniques Spectrum**.
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+ Upcoming planned datasets include:
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+
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+ - **Whisper Phonation**
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+ - **Falsetto**
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+ - **Vocal Percussion**
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+ - **Growl / Metal Vocals**
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+ - **Subharmonic Phonation / Vocal Fry (Full Dataset)**
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+
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+ Over time, Harmonic Frontier Audio will expand the Extended Vocal Techniques Spectrum alongside its Folk & World Instrument catalogs — creating the first unified library of ethical, rights-cleared world and human vocal datasets for AI training, synthesis, and sound design.
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+
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+ ---
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+
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+ ## 🗒️ Release Notes
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+
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+ **Version 0.9 (Nov. 2025)** – Initial Preview Pack release for Overtone Singing.
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+ See `CHANGELOG.md` for detailed version history.
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+
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+ ---
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+
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+ ## Citation
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+
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+ If you use this dataset in your research, please cite:
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+
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+ Pullen, B. (2025). *Overtone Singing Dataset (Preview)* [Data set]. Harmonic Frontier Audio. Zenodo.
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+ https://doi.org/10.5281/zenodo.17812972
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+
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+ ORCID: [https://orcid.org/0009-0003-4527-0178](https://orcid.org/0009-0003-4527-0178)
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+
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+ ### BibTeX
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+ ```bibtex
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+ @dataset{pullen_2025_overtone_preview,
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+ author = {Blake Pullen},
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+ title = {Overtone Singing Dataset (Preview)},
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+ year = {2025},
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+ publisher = {Harmonic Frontier Audio},
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+ version = {0.9},
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+ doi = {10.5281/zenodo.17812972},
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+ url = {https://doi.org/10.5281/zenodo.17812972}
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+ }
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+ ```
RightsDeclaration.txt ADDED
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+ Harmonic Frontier Audio – Rights Declaration
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+ --------------------------------------------
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+
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+ All recordings contained in this dataset were created by Blake Pullen,
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+ performer and producer, in Nov. 2025 under the Harmonic Frontier Audio brand.
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+
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+ - Performer: Blake Pullen
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+ - Vocals: Overtone Singing
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+ - Recording Location: Private studio, Las Vegas, Nevada
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+ - Recording Dates: Nov. 2025
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+
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+ No third-party performers, copyrighted works, or external samples are included.
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+ All material consists of original vocal performances of public domain exercises,
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+ sustained tones, and a newly composed melody written by Blake Pullen.
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+
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+ All vocalizations are non-lexical and are not derived from or representative of any spoken language.
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+
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+ Harmonic Frontier Audio (HFA) is the sole copyright owner of these recordings and associated metadata. This dataset is free of encumbrances and may be licensed by Harmonic Frontier Audio
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+ under the terms stated in the accompanying README documentation.
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