Harmonic-Frontier-Audio/Irish_Tin_Whistle_in_D_Preview

Harmonic Frontier Audio – Irish Tin Whistle (Whistle in D), Preview (v0.9)

A high-quality Irish Tin Whistle dataset — designed for AI training, music research, and creative audio projects in folk and world music.

Irish Tin Whistle (Whistle in D), a preview dataset, created by Harmonic Frontier Audio.
It provides developers, researchers, and musicians with a compact reference set, demonstrating the quality and format of the full Harmonic Frontier Audio folk wind instrument dataset series.

For citation, see DOI link at bottom of this page

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🔎 Summary

This dataset provides high-quality, rights-cleared recordings of the Tin Whistle in D — a duct flute whose sound is produced by directed airflow interacting with a fixed fipple and cylindrical bore.
The recordings emphasize breath-driven articulation, register transitions, and characteristic ornamentation, making them valuable for AI music modeling, wind-instrument synthesis, ornamentation analysis, and folk tradition–aware sound generation research.

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/irish-tin-whistle

It offers clean, consistent audio files capturing the Tin Whistle across sustained tones, scale passages, register shifts, and traditional embellishment patterns representative of authentic performance practice.

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

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🎶 About the Irish Tin Whistle (Whistle in D)

The Irish Tin Whistle, also known simply as the Whistle or Penny Whistle, is a staple of Celtic traditional music.
Its bright, pure tone and expressive breath articulation make it a central voice in Irish folk performance and modern Celtic fusion styles.
This dataset captures high-fidelity recordings of a D whistle played by Blake Pullen, covering core techniques such as cuts, taps, tonguing, and scale exercises across lower and upper octaves.

Unlike reed instruments such as bagpipes, the whistle offers dynamic breath control, attack variation, and transient-rich articulations — all valuable data for training AI timbre models and expressive synthesis.

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📂 Contents

Audio Files (.wav)

• Recorded at 96 kHz / 24-bit WAV format
• Exported as mono
• Includes natural breath noise at note onsets (intentionally preserved)
• Linear-phase high-pass filtered at 100 Hz to remove subsonic rumble
• Fade-ins and fade-outs of 2–5 ms applied for transient consistency

Categories in this Preview

1. Scales & Exercises

   • D Major Scale – Lower and Upper Octaves
   • 5-Note Scale Exercise
   • Scale Exercise in D Major

2. Ornaments

   • Cuts (A, E, F#)
   • Taps (B, G)
   • Tonguing (D, E, G – Lower & Upper Octaves)

3. Short Tune Snippet

   • Short melodic phrase from "Scarborough Fair"

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Metadata (.csv)
Includes structured fields for file name, instrument, category, content, note pitch, vibrato (true/false), BPM, mic position, channels, sample rate, bit depth, recording chain, and dataset version.

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🎤 Recording Notes

• Recorded in a treated studio environment using a single-mic setup:
  • Main mic: Oktava MK-012 cardioid small-diaphragm condenser
  • Recording chain: Zoom F8n Pro → Oktava MK-012 → HPF 100 Hz (24 dB/oct, linear-phase)
• Recorded at 96 kHz / 32-bit float, rendered as 96 kHz / 24-bit mono WAV files for release.
• Levels and dynamics reflect the natural acoustic performance without compression or limiting.

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🌈 Spectrogram Preview

Below is a spectrogram of the included short tune snippet, showing the harmonic profile and transient character of the Irish Tin Whistle:

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🎧 Demonstration Audio

This repository includes three audio examples for listening and comparison:

1. Dataset in musical context (mixed & mastered)
A brief musical excerpt demonstrating the Irish Tin Whistle in D dataset integrated into a musical arrangement, highlighting expressive timbre and real-world usability.

Track: “Scarborough Fair”
Producer: Blake Pullen
Source Audio: Harmonic Frontier Audio – Irish Tin Whistle in D (Preview)

2. Raw dataset recording
An unprocessed audio excerpt taken directly from the dataset’s audio files, representing the actual licensed source material without musical context or processing.

3. Fully AI-generated reference (no dataset audio)
A comparison track generated entirely by an AI music model without using any Harmonic Frontier Audio recordings, included solely to illustrate current generative limitations.

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📜 Demo & Licensing Note

The Demos/ folder contains demonstration material only.
Only the raw recordings in the dataset audio files constitute the licensed dataset.
AI-generated reference tracks are not part of the dataset and are not licensed for training or reuse.

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🪶 Production Notes

• Instrumental accompaniment in the contextual demo was generated using Suno (Pro plan) under a commercial license.
• All tin whistle performances and all dataset recordings were performed, recorded, and produced by Blake Pullen for Harmonic Frontier Audio.

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⚡ Usage

This preview pack is designed for:

• Evaluation of Harmonic Frontier Audio format and quality
• Testing workflows in ML training, sample library creation, or DSP pipelines
• Demonstration for developers exploring expressive wind instrument timbres

👉 Note: This is not a full dataset. The complete Harmonic Frontier Audio dataset for Irish Tin Whistle (Whistle in D) will include:

• Full ornamentation library (rolls, slides, breath variants)
• Extended range and dynamics
• Additional exercises and musical phrases

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💡 Full Dataset Availability

This is a preview pack of the Irish Tin Whistle (Whistle in D) dataset.
The complete dataset — including additional articulations, longer takes, and expanded content — will be available for licensing.

For licensing inquiries, please contact:
📩 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/Irish_Tin_Whistle_in_D_Preview",
    split="train"
)

print(dataset)

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🔗 Explore More from Harmonic Frontier Audio

• Scottish Smallpipes (Preview)
• Highland Bagpipes (Preview)
• Irish Tin Whistle in D (Preview)
• Subharmonic Phonation / Vocal Fry (Preview)
• Kalimba (Preview)
• Kazoo (Preview)
• Overtone Singing (Preview)

(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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🔮 Future Roadmap

This preview release is part of the Harmonic Frontier Audio Celtic Instruments Series.
Upcoming planned datasets include:

• Full Irish Tin Whistle (Whistle in D) dataset (extended articulations and phrases)
• Scottish Smallpipes in A
• Bodhrán (Irish Frame Drum)
• Irish Low Whistle
• Irish Flute

Over time, Harmonic Frontier Audio will also expand into additional world folk instruments, building the first dedicated catalog of folk/ethnic datasets for AI training, synthesis, and sound design.

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🗒️ Release Notes

Version 0.9 (Oct. 2025) – Initial Preview Pack release for Irish Tin Whistle (Whistle in D).
See CHANGELOG.md for detailed version history.

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Citation

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

Pullen, B. (2025). Irish Tin Whistle (Whistle in D) Dataset (Preview) [Data set]. Harmonic Frontier Audio. Zenodo. https://doi.org/10.5281/zenodo.17299039

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

BibTeX

@dataset{pullen_2025_tinwhistle_preview,
  author       = {Blake Pullen},
  title        = {Irish Tin Whistle (Whistle in D) Dataset (Preview)},
  year         = {2025},
  publisher    = {Harmonic Frontier Audio},
  version      = {0.9},
  doi          = {10.5281/zenodo.17299039},
  url          = {https://doi.org/10.5281/zenodo.17299039}
}