Harmonic-Frontier-Audio/Breath_and_Noise_Airstreams_Preview

Harmonic Frontier Audio – Breath and Noise Airstreams (Preview, v0.9)

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

Breath and Noise Airstreams (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 non-phonated breath and noise airstreams — controlled inhaled and exhaled airflow behaviors captured as isolated acoustic primitives without vocal fold engagement.

The recordings emphasize:

• sustained exhale noise at varied intensities
• dynamic airflow crescendos, decrescendos, and swells
• steady and intensity-varied inhale noise
• interrupted and gated airflow
• pressurized non-phonated exhalation
• short, shaped breath bursts

These characteristics make the dataset valuable for AI speech modeling, breath-aware voice synthesis, airflow and noise modeling, expressive audio generation, 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/breath-noise-airstreams

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

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🌬️ About Breath and Noise Airstreams

Breath airstreams are non-phonated airflow events produced through inhalation or exhalation without sustained vocal fold vibration.
Noise airstreams include audible airflow textures whose intensity, pressure, continuity, and temporal shape can be deliberately controlled while remaining non-voiced.

These phenomena are foundational to:

• breath-aware speech and voice synthesis
• non-phonated airflow modeling
• expressive transitions surrounding vocal activity
• physiological and respiratory sound research
• controllable noise and airstream generation

This dataset presents a neutral, non-linguistic, non-performative representation of breath and noise airstream behavior.
It is not designed to encode semantic speech content, but rather to isolate acoustic primitives underlying sustained, dynamic, interrupted, and pressurized airflow.

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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 3 representative audio files, selected to demonstrate:

• controlled non-phonated airflow texture
• variation in airstream intensity and temporal shape
• distinct sustained or burst-like breath-noise behavior

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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 4 inches from the microphone, with the microphone approximately 10–15 degrees off-axis.
• Natural airflow dynamics and breath-noise texture were preserved to retain acoustic realism.

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🌈 Spectrogram Preview

Below is a spectrogram illustrating the broadband airflow energy, changing noise intensity, and transient or gated structures characteristic of controlled non-phonated breath and noise airstreams:

⚡ Usage

This preview pack is designed for:

• Evaluation of Harmonic Frontier Audio dataset quality and structure
• Testing AI and DSP systems that model non-phonated airflow and breath noise
• Research in speech synthesis, physiological audio, and expressive breath modeling
• Creative sound design involving sustained, dynamic, interrupted, and burst-like airstream textures

👉 Note: This is not a full dataset.
The complete Breath and Noise Airstreams dataset includes a substantially larger set of sustained, dynamic, inhaled, interrupted, pressurized, and burst-like airflow primitives and is available for licensing.

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💡 Full Dataset Availability

This is a preview pack of the Breath and Noise Airstreams 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/Breath_and_Noise_Airstreams_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 Breath and Noise Airstreams.
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). Breath and Noise Airstreams Dataset (Preview) [Data set]. Harmonic Frontier Audio. Zenodo. https://doi.org/10.5281/zenodo.21988771

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

BibTeX

@dataset{pullen_2026_breathandnoiseairstreams_preview,
  author       = {Blake Pullen},
  title        = {Breath and Noise Airstreams Dataset (Preview)},
  year         = {2026},
  publisher    = {Harmonic Frontier Audio},
  version      = {0.9},
  doi          = {10.5281/zenodo.21988771},
  url          = {https://doi.org/10.5281/zenodo.21988771}
}