Datasets:
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README.md
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license: cc-by-nc-nd-4.0
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---
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license: cc-by-nc-nd-4.0
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task_categories:
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- automatic-speech-recognition
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language:
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- da
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tags:
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- audio
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- speech
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- speech recognition
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- machine
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- machine learning
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size_categories:
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- n<1K
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---
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# 🎧 Danish Speech Dataset
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The **Danish Speech Dataset** is a high-quality **speech audio dataset** designed to provide structured and diverse **audio data** for AI-driven voice technologies. It includes **168 hours of audio data** across **804 files**, delivered in **MP3 and WAV formats**, with a total size of **369 MB**. This well-balanced **audio dataset** ensures consistent and representative **voice data**, with **52% female and 48% male speakers**, and a broad age distribution from **18 to 50+ years**. The **dataset language** is Danish, with speakers from Denmark, Greenland, the Faroe Islands, and Germany, making it a comprehensive **language speech dataset** for Scandinavian linguistic variation.
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---
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🔗 **Learn more:**
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https://speech-data.ai/datasets/danish/
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---
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## 🚀 Use Cases
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This **Danish speech dataset** is suitable for a wide range of AI applications, including **speech recognition**, voice assistant development, and Scandinavian language processing. The structured **speech data** supports efficient acoustic modeling, accent detection, and translation systems. It functions as a reliable **speech recognition dataset** for both research and production environments, enabling robust performance across diverse speech conditions.
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---
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## 📊 Dataset Metadata
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| Field | Value |
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|------------------|-----------------------------------------------------------------------|
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| 📜 License | CC BY-NC-ND 4.0 |
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| 🎯 Task Categories | Automatic Speech Recognition |
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| 🌍 Language | Danish (da) |
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| 🏷️ Tags | Audio, Speech, Speech Recognition, Machine, Machine Learning |
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| 📦 Size Category | n < 1K |
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---
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## ⭐ Key Value
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The key value of this **speech dataset** lies in its regional diversity, balanced demographics, and production-ready format. It provides high-quality **audio data** that enhances model accuracy and scalability in real-world AI applications. This **voice dataset** is ideal for building advanced voice-enabled systems tailored to Scandinavian languages.
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