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clarinet-ai-datasets/solo-clarinet-classical-recordings

Solo Clarinet AI Training Dataset – Isolated Monophonic Recordings (Sample) High-quality isolated clarinet recordings for AI audio modeling and research. This dataset is part of a larger collection of solo clarinet recordings designed for AI and audio machine learning applications. It provides clean, high-quality monophonic recordings of a real acoustic instrument, suitable for tasks such as timbre modeling, music generation, and sound synthesis. Dataset Overview… See the full description on the dataset page: https://huggingface.co/datasets/clarinet-ai-datasets/solo-clarinet-classical-recordings.

sourceHugging Facecc-by-4.0updated 6mo agoView on Hugging Face
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Dataset Card

Solo Clarinet AI Training Dataset – Isolated Monophonic Recordings (Sample)

High-quality isolated clarinet recordings for AI audio modeling and research.

This dataset is part of a larger collection of solo clarinet recordings designed for AI and audio machine learning applications.

It provides clean, high-quality monophonic recordings of a real acoustic instrument, suitable for tasks such as timbre modeling, music generation, and sound synthesis.

Dataset Overview

  • —Instrument: Solo Clarinet  
  • —Format: WAV  
  • —Resolution: 44.1 kHz / 24-bit  
  • —Recording type: Studio-quality  
  • —Tracks (full dataset): 114 recordings (~5–6 hours)  

Current Version

This repository contains a sample recording representing the full dataset quality and structure.

Potential Use Cases

  • —Audio generation models  
  • —Instrument timbre modeling  
  • —Music Information Retrieval (MIR)  
  • —Sound synthesis  
  • —Transcription systems  

Key Features

  • —Fully isolated instrument (no accompaniment)  
  • —Real acoustic performance (no MIDI or synthesis)  
  • —Wide dynamic and expressive range  
  • —Consistent recording conditions  

Full Dataset Access

The complete dataset (14 albums / 114 recordings) is available for licensing:   Ko-fi Shop

Additional Resources

Contact

For access to the full dataset or collaboration:   Romualdo Barone   filmusic15@gmail.com