Harmonic-Frontier-Audio/Breathing_Cycles_and_Physiological_Patterns_Preview

Harmonic Frontier Audio – Breathing Cycles and Physiological Patterns (Preview, v0.9)

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

Breathing Cycles and Physiological Patterns (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.

---

🔎 Summary

This dataset provides high-quality, rights-cleared recordings of natural breathing cycles and physiological airflow patterns — non-lexical respiratory behaviors captured as isolated human acoustic primitives for expressive audio modeling.

The recordings emphasize:

• relaxed and deeper inhale–exhale cycles
• slow, extended, and meditative breathing
• faster and shallow respiratory patterns
• brief inhale and exhale holds
• irregular breathing and reset breaths

These characteristics make the dataset valuable for AI speech modeling, expressive voice synthesis, breath-aware generative audio, physiological sound 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/breathing-cycles-physiological-patterns

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

---

🌬️ About Breathing Cycles and Physiological Patterns

Breathing cycles consist of naturally coordinated inhalation and exhalation events whose rate, depth, duration, and transitions vary with physical and expressive state.
Physiological breathing patterns include controlled variations such as extended breaths, shallow cycles, pauses, irregular timing, and reset breaths that occur independently of lexical speech.

These phenomena are foundational to:

• naturalistic speech and voice synthesis
• breath-aware expressive audio modeling
• physiological and respiratory sound research
• embodied and multimodal agent behavior
• realistic timing and transition modeling around vocal activity

This dataset presents a neutral, non-linguistic, non-performative representation of human respiratory behavior.
It is not designed to encode semantic speech content, but rather to isolate acoustic primitives that underlie natural breathing, respiratory timing, and physiological airflow variation.

---

📂 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:

• natural inhale–exhale cycle behavior
• variation in breath depth and pacing
• physiological airflow and respiratory timing characteristics

---

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.

---

🎤 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.
• Natural respiratory dynamics, airflow texture, and subtle breath noise were preserved to retain acoustic realism.

---

🌈 Spectrogram Preview

Below is a spectrogram illustrating the broadband airflow energy, inhale–exhale transitions, and changing intensity envelopes characteristic of natural breathing cycles and physiological respiratory patterns:

⚡ Usage

This preview pack is designed for:

• Evaluation of Harmonic Frontier Audio dataset quality and structure
• Testing AI and DSP systems that model breathing, respiratory timing, and physiological airflow
• Research in speech synthesis, expressive vocal modeling, and breath-aware audio systems
• Creative sound design involving natural human breath and respiratory texture

👉 Note: This is not a full dataset.
The complete Breathing Cycles and Physiological Patterns dataset includes a substantially larger set of neutral, extended, rapid, paused, irregular, and transitional breathing primitives and is available for licensing.

---

💡 Full Dataset Availability

This is a preview pack of the Breathing Cycles and Physiological Patterns Dataset.
The complete dataset is available for commercial licensing.

For licensing inquiries:
📩 info@harmonicfrontieraudio.com

---

📥 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/Breathing_Cycles_and_Physiological_Patterns_Preview",
    split="train"
)

print(dataset)

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

---

🔗 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.)

---

📜 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
📩 info@harmonicfrontieraudio.com
🌐 https://harmonicfrontieraudio.com/

---

🗒️ Release Notes

Version 0.9 (March 2026) – Initial Preview Pack release for Breathing Cycles and Physiological Patterns.
See CHANGELOG.md for detailed version history.

---

Citation

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

Pullen, B. (2026). Breathing Cycles and Physiological Patterns Dataset (Preview) [Data set]. Harmonic Frontier Audio. Zenodo. https://doi.org/10.5281/zenodo.21959766

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

BibTeX

@dataset{pullen_2026_breathingcyclesandphysiologicalpatterns_preview,
  author       = {Blake Pullen},
  title        = {Breathing Cycles and Physiological Patterns Dataset (Preview)},
  year         = {2026},
  publisher    = {Harmonic Frontier Audio},
  version      = {0.9},
  doi          = {10.5281/zenodo.21959766},
  url          = {https://doi.org/10.5281/zenodo.21959766}
}