Datasets:
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license: cc-by-nc-nd-4.0
task_categories:
- automatic-speech-recognition
language:
- nl
tags:
- speech
- speech recognition
- audio
- machine
- machine learning
- dutch
size_categories:
- n<1K
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# 🎧 Dutch Speech Dataset
The **Dutch Speech Dataset** is a high-quality **speech audio dataset** designed to provide structured and diverse **audio data** for modern AI and machine learning applications. It includes **179 hours of audio data** across **548 files**, delivered in **MP3 and WAV formats**, with a total size of **190 MB**. This well-organized **audio dataset** ensures balanced and representative **voice data**, with **51% female and 49% male speakers**, and a wide age distribution from **18 to 50+ years**. The **dataset language** is Dutch, covering speakers from the Netherlands, Belgium (Flanders), Suriname, Aruba, and Curaçao, making it a comprehensive **language speech dataset** with strong regional and phonetic diversity.
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🔗 **Learn more:**
https://speech-data.ai/datasets/dutch/
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## 🚀 Use Cases
This **Dutch speech dataset** supports a wide range of AI applications, including **speech recognition**, voice assistant development, and natural language processing. The structured **speech data** enables efficient acoustic modeling, speaker identification, and scalable AI training workflows. It serves as a reliable **speech recognition dataset** for both research and production environments, ensuring consistent performance across dialects and recording conditions.
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## 📊 Dataset Metadata
| Field | Value |
|------------------|-----------------------------------------------------------------------|
| 📜 License | CC BY-NC-ND 4.0 |
| 🎯 Task Categories | Automatic Speech Recognition |
| 🌍 Language | Dutch (nl) |
| 🏷️ Tags | Speech, Speech Recognition, Audio, Machine, Machine Learning, Dutch |
| 📦 Size Category | n < 1K |
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## ⭐ Key Value
The key value of this **speech dataset** lies in its geographic coverage, balanced speaker distribution, and production-ready structure. It delivers high-quality **audio data** that enhances the accuracy and robustness of AI systems in real-world multilingual environments. This **voice dataset** is ideal for building scalable and high-performance voice-enabled applications.
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