Harmonic-Frontier-Audio/Modal_Phonation_Preview

Harmonic Frontier Audio – Modal Phonation (Preview, v0.9)

A high-fidelity human vocal dataset designed for AI training, speech research, and expressive voice modeling.

Modal Phonation (Preview), created by Harmonic Frontier Audio, provides a compact reference set demonstrating the quality, formatting, and metadata conventions used in the Harmonic Frontier Audio Human Vocality Primitives series.

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🔎 Summary

This dataset provides high-quality, rights-cleared recordings of neutral modal phonation — steady, naturally voiced vocal behaviors captured across systematic variations in register, vowel configuration, amplitude, and onset character.

The full dataset encompasses:

• sustained modal vowels across low, mid, and high register zones
• open, mid-front, high-front, mid-back rounded, and high-back rounded vowel configurations
• soft, neutral, and firm amplitude levels
• stable pitch centers with consistent harmonic structure
• gentle and clear modal onset controls across low, mid, and high registers
• neutral vocal production without stylistic coloration

These characteristics make the dataset valuable for AI speech and voice modeling, phonetics research, voice synthesis, phonation classification, vowel and register modeling, onset modeling, and human-aligned vocal control systems.

Developed by Harmonic Frontier Audio, this preview follows The Proteus Standard™ for dataset provenance, transparency, and ethical AI use.
Learn more about the Proteus Standard → https://harmonicfrontieraudio.com/proteus-standard

Full dataset details and licensing information are available at:
https://harmonicfrontieraudio.com/datasets/modal-phonation

If you find this dataset useful, please consider giving it a 🤍 on Hugging Face to help others discover it.

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🎙️ About Modal Phonation

Modal phonation is the ordinary, efficiently voiced register used as a primary baseline for human vocal production. It is characterized by regular vocal-fold vibration, stable harmonic structure, and a naturally balanced relationship between airflow and vocal-fold engagement.

In this dataset, modal phonation is systematically represented across low, mid, and high register zones, five broad vowel configurations, and three amplitude levels. Separate onset controls provide additional examples of gentle and clear initiation into otherwise steady modal voicing.

These phenomena are foundational to:

• baseline speech and voice synthesis
• phonation-type and vocal-register classification
• vowel and formant-aware modeling
• amplitude-conditioned voice generation
• onset and attack modeling
• comparative study of non-modal and extended vocal behaviors

This dataset presents a neutral, non-linguistic, non-performative representation of modal phonation.
It is not designed to encode semantic speech content or musical performance, but rather to isolate acoustic primitives underlying stable natural voicing, vowel resonance, amplitude variation, and onset behavior.

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📂 Contents

Audio Files (.wav)

• Recorded at 96 kHz / 24-bit WAV format
• Exported as mono
• Fade-ins and fade-outs of 3–5 ms applied for consistency
• No compression, normalization, or creative processing applied
• High-pass filtered at ~40 Hz to remove subsonic rumble

This preview includes 4 representative audio files, selected to demonstrate:

• low-register open-vowel modal phonation at soft amplitude
• mid-register mid-front-vowel modal phonation at firm amplitude
• high-register high-front-vowel modal phonation at neutral amplitude
• a low-register gentle modal onset followed by stable modal voicing

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Metadata (.csv)

Includes structured fields for:

• file name
• sound source type
• airflow type
• phonation type
• gesture and articulation descriptors
• microphone and recording chain
• sample rate, bit depth, and dataset version

Metadata follows the Harmonic Frontier Audio – Foundations schema.

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🎤 Recording Notes

• Recorded in a treated studio environment using a single-mic setup:
  • Microphone: Rode NT1-A condenser microphone
  • Recording chain: Rode NT1-A → Zoom F8n Pro
• Captured at 96 kHz / 32-bit float, rendered as 96 kHz / 24-bit mono WAV for release.
• Performer positioned approximately 3.5 inches from the microphone, with the microphone approximately 10–15 degrees off-axis.
• Sustained modal vowels were recorded at approximately 6–8 seconds, with onset controls approximately 4–6 seconds.
• Exact pitches were not prescribed; performances were organized by low, mid, and high register zones.
• Stable pitch centers, consistent harmonic structure, and neutral vocal quality were preserved without stylistic coloration.

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🌈 Spectrogram Preview

Below is a spectrogram illustrating the stable harmonic structure, vowel-dependent resonance patterns, and controlled onset behavior characteristic of neutral modal phonation across register and amplitude conditions:

⚡ Usage

This preview pack is designed for:

• Evaluation of Harmonic Frontier Audio dataset quality and structure
• Testing AI and DSP systems that model modal voicing, vowel resonance, amplitude, and onset behavior
• Research in phonetics, speech synthesis, phonation classification, and vocal-register modeling
• Creative and technical applications requiring clean, neutral sustained vocal primitives

👉 Note: This is not a full dataset.
The complete Modal Phonation dataset includes a substantially larger matrix of sustained vowel primitives spanning five vowel configurations, three register zones, and soft/neutral/firm amplitudes, together with gentle and clear onset controls across low, mid, and high registers, and is available for licensing.

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💡 Full Dataset Availability

This is a preview pack of the Modal Phonation Dataset.
The complete dataset is available for commercial licensing.

For licensing inquiries:
📩 info@harmonicfrontieraudio.com

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📥 How to Use This Dataset in Python

You can load the Parquet-converted version of this dataset directly with the datasets library:

from datasets import load_dataset

dataset = load_dataset(
    "Harmonic-Frontier-Audio/Modal_Phonation_Preview",
    split="train"
)

print(dataset)

⚙️ Note: Parquet conversion and load_dataset() support will be available within 2–3 days of publication.

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🔗 Explore More from Harmonic Frontier Audio

• Human Vocality Primitives Series (Previews)
• Celtic Constellation Series (Previews)
• Extended Vocal Techniques Spectrum (Previews)
• Novelty Gems Cabinet (Previews)

(All datasets follow The Proteus Standard™ for ethical dataset provenance and licensing.)

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📜 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

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📧 Contact

Harmonic Frontier Audio
📩 info@harmonicfrontieraudio.com
🌐 https://harmonicfrontieraudio.com/

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🗒️ Release Notes

Version 0.9 (March 2026) – Initial Preview Pack release for Modal Phonation.
See CHANGELOG.md for detailed version history.

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Citation

If you use this dataset in your research, please cite:

Pullen, B. (2026). Modal Phonation Dataset (Preview) [Data set]. Harmonic Frontier Audio. Zenodo. https://doi.org/10.5281/zenodo.21989299

ORCID: https://orcid.org/0009-0003-4527-0178

BibTeX

@dataset{pullen_2026_modalphonation_preview,
  author       = {Blake Pullen},
  title        = {Modal Phonation Dataset (Preview)},
  year         = {2026},
  publisher    = {Harmonic Frontier Audio},
  version      = {0.9},
  doi          = {10.5281/zenodo.21989299},
  url          = {https://doi.org/10.5281/zenodo.21989299}
}