README.md

---
pretty_name: Breathing Cycles and Physiological Patterns (Preview)
license: cc-by-nc-4.0
size_categories: [n<1K]
tags:
  - audio
  - dataset
  - vocals
  - breathing
  - breathing_cycles
  - physiological_patterns
  - breath_noise
  - human_voice
  - extended_vocal_techniques
  - speech_research
  - phonetics
  - sound_design
  - ai_training_data
  - sampling_96khz
  - bitdepth_24bit
  - mono
task_categories: [other]
language: [und]
thumbnail: thumbnail.png
description: "A comprehensive collection of natural inhale–exhale cycles, emotional breaths, and physiological airflow patterns captured with clinical clarity for expressive audio modeling."
---

![Dataset Thumbnail](./thumbnail.png)

# Harmonic Frontier Audio – Breathing Cycles and Physiological Patterns (Preview, v0.95)

**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:

![Spectrogram Preview](Spectrogram_Preview.png)

## ⚡ 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:

```python
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)](https://huggingface.co/collections/Harmonic-Frontier-Audio/human-vocality-primitives-previews)
- [Celtic Constellation Series (Previews)](https://huggingface.co/collections/Harmonic-Frontier-Audio/celtic-constellation-previews)
- [Extended Vocal Techniques Spectrum (Previews)](https://huggingface.co/collections/Harmonic-Frontier-Audio/extended-vocal-techniques-spectrum-previews)
- [Novelty Gems Cabinet (Previews)](https://huggingface.co/collections/Harmonic-Frontier-Audio/novelty-gems-cabinet-previews)


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

---

## 📜 License

Released under **[CC BY-NC 4.0](https://creativecommons.org/licenses/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

```bibtex
@dataset{pullen_2026_breathingcyclesandphysiologicalpatterns_preview,
  author       = {Blake Pullen},
  title        = {Breathing Cycles and Physiological Patterns Dataset (Preview)},
  year         = {2026},
  publisher    = {Harmonic Frontier Audio},
  version      = {0.95},
  doi          = {10.5281/zenodo.21959766},
  url          = {https://doi.org/10.5281/zenodo.21959766}
}
```