Datasets:
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README.md
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license: cc-by-nc-nd-4.0
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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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tags:
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- audio
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- machine
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- machine learning
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- speech
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- dataset
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- speech recognition
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size_categories:
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- n<1K
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---
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# 🎧 Cebuano Speech Dataset
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The **Cebuano Speech Dataset** is a high-quality **speech audio dataset** designed to deliver structured and diverse **audio data** for AI-powered voice applications. It includes **108 hours of audio data** distributed across **807 files**, provided in **MP3 and WAV formats**, with a total size of **135 MB**. This well-organized **audio dataset** ensures balanced **voice data**, with **49% female and 51% male speakers**, and a broad age range from **18 to 50+ years**. The **dataset language** is Cebuano, with speakers from the Philippines, including Cebu, Mindanao, Bohol, and Leyte, making it a representative **language speech dataset** for regional linguistic diversity.
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---
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🔗 **Learn more:**
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https://speech-data.ai/datasets/cebuano/
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---
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## 🚀 Use Cases
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This **Cebuano speech dataset** supports a wide range of AI applications, including **speech recognition**, voice assistant development, and natural language processing systems. The structured **speech data** enables efficient acoustic modeling, speaker identification, and scalable AI training workflows. It functions as a reliable **speech recognition dataset** for both research and production environments, particularly in multilingual and low-resource language scenarios.
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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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| 🏷️ Tags | Audio, Machine, Machine Learning, Speech, Dataset, Speech Recognition |
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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 authenticity, balanced speaker distribution, and production-ready structure. It provides high-quality **audio data** that enhances model performance in real-world applications. This **voice dataset** is particularly valuable for building scalable, accurate, and inclusive voice-enabled AI systems.
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