Datasets:
RoyalCities
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README.md
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---
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license: other
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license_name: custom
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license_link: LICENSE
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---
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# Vocal Textures Dataset
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## Introduction
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The **Vocal Textures Dataset** is a curated collection of vocal choir audio samples designed to facilitate the fine-tuning of machine learning models, particularly in the domain of audio generation. This dataset is especially useful for hobbyists and researchers who are working on projects related to music production, AI-generated audio, and similar fields.
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This dataset can be used to train non-commercial models and is structured to make it easy to navigate different types of vocals based on gender, musical key, and tempo. It features standardized file names and can be used out of the box for
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<center>
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<h2 style="font-size: 19px;">Dataset Breakdown</h2>
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</table>
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## Dataset Structure
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The dataset is organized into the following folder structure:
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---
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license: other
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license_name: custom
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license_link: https://huggingface.co/datasets/RoyalCities/Vocal_Textures_Dataset/blob/main/LICENSE.md
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language: en
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tags:
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- audio
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- music-generation
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- sample-generation
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- vocals
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- choir
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- fine-tuning
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- stable-audio
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pretty_name: Vocal Textures Dataset
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---
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# Vocal Textures Dataset
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## Introduction
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The **Vocal Textures Dataset** is a curated collection of vocal choir audio samples designed to facilitate the fine-tuning of machine learning models, particularly in the domain of audio generation. This dataset is especially useful for hobbyists and researchers who are working on projects related to music production, AI-generated audio, and similar fields.
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This dataset can be used to train non-commercial models and is structured to make it easy to navigate different types of vocals based on gender, musical key, and tempo. It features standardized file names and can be used out of the box for fine-tuning with [Stable Audio Open](https://huggingface.co/stabilityai/stable-audio-open-1.0).
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<center>
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<h2 style="font-size: 19px;">Dataset Breakdown</h2>
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</tbody>
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</table>
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<div style="text-align: center;">
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**Total .wav files**: 5040
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**Total duration**: 980.64 minutes
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**Average Length**: 11.67 seconds
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**Total Size**: 14.50 GB
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**Sample Rate**: 44100 Hz
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</div>
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## Dataset Structure
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The dataset is organized into the following folder structure:
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