Datasets:
Upload 9 files
Browse files- CHANGELOG.md +10 -0
- HFA_BreathingCyclesandPhysiologicalPatternsPreview_Metadata.csv +4 -0
- README.md +228 -0
- RightsDeclaration.txt +23 -0
- Spectrogram_Preview.png +3 -0
- audio/HFA_HVP_BreathingCyclesPhysiology_Fast_Shallow_Take01.wav +3 -0
- audio/HFA_HVP_BreathingCyclesPhysiology_Hold_Inhale_Take01.wav +3 -0
- audio/HFA_HVP_BreathingCyclesPhysiology_Neutral_Relaxed_Take01.wav +3 -0
- thumbnail.png +3 -0
CHANGELOG.md
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# Changelog – Harmonic Frontier Audio: Breathing Cycles and Physiological Patterns (Preview Pack)
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## v0.9 – March 2026
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- Initial release of the **Breathing Cycles and Physiological Patterns Preview Pack**
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- Includes a curated subset of natural breathing cycles and physiological airflow patterns, including neutral, deeper, extended, rapid, paused, irregular, and transitional respiratory behaviors
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- Recorded in a treated private studio environment using a **Rode NT1-A microphone → Zoom F8n Pro** signal chain
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- Captured at **96 kHz / 32-bit float** and exported as **96 kHz / 24-bit mono WAV**
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- 3–5 ms fade-ins and fade-outs applied for consistency; no normalization, compression, or creative post-processing used
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- Non-lexical, non-semantic vocal material focused on acoustic primitives rather than linguistic content
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- Metadata sheet, README documentation, and rights declaration included
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HFA_BreathingCyclesandPhysiologicalPatternsPreview_Metadata.csv
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file_name,sound_source_type,instrument,airflow_type,phonation_type,content,note_pitch,articulation_type,gesture_type,vibrato,bpm,mic,channels,sample_rate_hz,bit_depth,record_chain,version
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HFA_HVP_BreathingCyclesPhysiology_Neutral_Relaxed_Take01.wav,human_voice,voice,pulmonic_bidirectional,breath,Calm natural breathing two cycles,unpitched,cyclical,cycle,none,,Rode NT1-A,1,96000,24,Rode NT1-A -> Zoom F8n Pro,v0.9
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HFA_HVP_BreathingCyclesPhysiology_Fast_Shallow_Take01.wav,human_voice,voice,pulmonic_bidirectional,breath,Increased rate reduced depth,unpitched,cyclical,cycle,none,,Rode NT1-A,1,96000,24,Rode NT1-A -> Zoom F8n Pro,v0.9
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HFA_HVP_BreathingCyclesPhysiology_Hold_Inhale_Take01.wav,human_voice,voice,pulmonic_bidirectional,breath,Inhale pause then exhale,unpitched,cyclical,cycle,none,,Rode NT1-A,1,96000,24,Rode NT1-A -> Zoom F8n Pro,v0.9
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README.md
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---
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pretty_name: Breathing Cycles and Physiological Patterns (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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- dataset
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- vocals
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- breathing
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- breathing_cycles
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- physiological_patterns
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- breath_noise
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- human_voice
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- extended_vocal_techniques
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- speech_research
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- phonetics
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- sound_design
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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 comprehensive collection of natural inhale–exhale cycles, emotional breaths, and physiological airflow patterns captured with clinical clarity for expressive audio modeling."
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---
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# Harmonic Frontier Audio – Breathing Cycles and Physiological Patterns (Preview, v0.95)
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**A high-fidelity human vocal dataset designed for AI training, speech research, and expressive voice modeling.**
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**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.
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---
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## 🔎 Summary
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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.
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The recordings emphasize:
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- relaxed and deeper inhale–exhale cycles
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- slow, extended, and meditative breathing
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- faster and shallow respiratory patterns
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- brief inhale and exhale holds
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- irregular breathing and reset breaths
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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**.
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Developed by **Harmonic Frontier Audio**, this preview follows *The Proteus Standard™* for dataset provenance, transparency, and ethical AI use.
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Learn more about the Proteus Standard → https://harmonicfrontieraudio.com/proteus-standard
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Full dataset details and licensing information are available at:
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https://harmonicfrontieraudio.com/datasets/breathing-cycles-physiological-patterns
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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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## 🌬️ About Breathing Cycles and Physiological Patterns
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**Breathing cycles** consist of naturally coordinated inhalation and exhalation events whose rate, depth, duration, and transitions vary with physical and expressive state.
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**Physiological breathing patterns** include controlled variations such as extended breaths, shallow cycles, pauses, irregular timing, and reset breaths that occur independently of lexical speech.
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These phenomena are foundational to:
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- naturalistic speech and voice synthesis
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- breath-aware expressive audio modeling
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- physiological and respiratory sound research
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- embodied and multimodal agent behavior
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- realistic timing and transition modeling around vocal activity
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This dataset presents a **neutral, non-linguistic, non-performative representation** of human respiratory behavior.
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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.
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---
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## 📂 Contents
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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 consistency
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- No compression, normalization, or creative processing applied
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- High-pass filtered at ~40 Hz to remove subsonic rumble
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This preview includes **3 representative audio files**, selected to demonstrate:
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- natural inhale–exhale cycle behavior
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- variation in breath depth and pacing
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- physiological airflow and respiratory timing characteristics
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---
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### Metadata (.csv)
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Includes structured fields for:
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- file name
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- sound source type
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- airflow type
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- phonation type
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- gesture and articulation descriptors
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- microphone and recording chain
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- sample rate, bit depth, and dataset version
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Metadata follows the **Harmonic Frontier Audio – Foundations** schema.
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---
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## 🎤 Recording Notes
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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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- Captured at **96 kHz / 32-bit float**, rendered as **96 kHz / 24-bit** mono WAV for release.
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- Performer positioned approximately **3.5 inches from the microphone**, with the microphone approximately **10–15 degrees off-axis**.
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- Natural respiratory dynamics, airflow texture, and subtle breath noise were preserved to retain acoustic realism.
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---
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## 🌈 Spectrogram Preview
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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:
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## ⚡ Usage
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This preview pack is designed for:
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- Evaluation of Harmonic Frontier Audio dataset quality and structure
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- Testing AI and DSP systems that model breathing, respiratory timing, and physiological airflow
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- Research in speech synthesis, expressive vocal modeling, and breath-aware audio systems
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- Creative sound design involving natural human breath and respiratory texture
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👉 **Note:** This is **not a full dataset**.
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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.
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---
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## 💡 Full Dataset Availability
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This is a **preview pack** of the *Breathing Cycles and Physiological Patterns Dataset*.
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The complete dataset is available for **commercial licensing**.
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For licensing inquiries:
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📩 info@harmonicfrontieraudio.com
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---
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## 📥 How to Use This Dataset in Python
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You can load the Parquet-converted version of this dataset directly with the `datasets` library:
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```python
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from datasets import load_dataset
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dataset = load_dataset(
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"Harmonic-Frontier-Audio/Breathing_Cycles_and_Physiological_Patterns_Preview",
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split="train"
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)
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print(dataset)
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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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## 🔗 Explore More from Harmonic Frontier Audio
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- [Human Vocality Primitives Series (Previews)](https://huggingface.co/collections/Harmonic-Frontier-Audio/human-vocality-primitives-previews)
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- [Celtic Constellation Series (Previews)](https://huggingface.co/collections/Harmonic-Frontier-Audio/celtic-constellation-previews)
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- [Extended Vocal Techniques Spectrum (Previews)](https://huggingface.co/collections/Harmonic-Frontier-Audio/extended-vocal-techniques-spectrum-previews)
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- [Novelty Gems Cabinet (Previews)](https://huggingface.co/collections/Harmonic-Frontier-Audio/novelty-gems-cabinet-previews)
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*(All datasets follow The Proteus Standard™ for ethical dataset provenance and licensing.)*
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---
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## 📜 License
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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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## 📧 Contact
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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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## 🗒️ Release Notes
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**Version 0.9 (March 2026)** – Initial Preview Pack release for Breathing Cycles and Physiological Patterns.
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See `CHANGELOG.md` for detailed version history.
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---
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Citation
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If you use this dataset in your research, please cite:
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Pullen, B. (2026). Breathing Cycles and Physiological Patterns Dataset (Preview) [Data set]. Harmonic Frontier Audio. Zenodo.
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https://doi.org/10.5281/zenodo.21959766
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ORCID: https://orcid.org/0009-0003-4527-0178
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### BibTeX
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```bibtex
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@dataset{pullen_2026_breathingcyclesandphysiologicalpatterns_preview,
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author = {Blake Pullen},
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title = {Breathing Cycles and Physiological Patterns Dataset (Preview)},
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year = {2026},
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publisher = {Harmonic Frontier Audio},
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version = {0.95},
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doi = {10.5281/zenodo.21959766},
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url = {https://doi.org/10.5281/zenodo.21959766}
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}
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```
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RightsDeclaration.txt
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Harmonic Frontier Audio – Rights Declaration
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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 March 2026 under the Harmonic Frontier Audio brand.
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- Performer: Blake Pullen
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- Vocal Technique: Breathing Cycles and Physiological Patterns
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- Recording Location: Private studio, Las Vegas, Nevada
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- Recording Dates: March 2026
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No third-party performers, copyrighted works, or external samples are included.
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All material consists of original, non-lexical vocal performances created
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specifically for this dataset.
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These recordings capture natural inhale–exhale cycles, varied breathing rates and depths, brief respiratory holds, irregular breathing, reset breaths, and related physiological airflow patterns.
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They do not contain semantic speech content and are not derived from, or
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representative of, any spoken language.
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Harmonic Frontier Audio (HFA) is the sole copyright owner of these recordings
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and associated metadata. This dataset is free of encumbrances and may be
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licensed by Harmonic Frontier Audio under the terms stated in the accompanying
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README documentation.
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Spectrogram_Preview.png
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Git LFS Details
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audio/HFA_HVP_BreathingCyclesPhysiology_Hold_Inhale_Take01.wav
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audio/HFA_HVP_BreathingCyclesPhysiology_Neutral_Relaxed_Take01.wav
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thumbnail.png
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Git LFS Details
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