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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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language:
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- tl
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tags:
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- audio
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- speech
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- speech recogniton
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- Tagalog
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- Filipino
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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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# 🎧 Filipino Speech Dataset
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The **Filipino Speech Dataset** is a high-quality **speech audio dataset** designed to provide structured and diverse **audio data** for AI-driven voice technologies. It includes **75 hours of audio data** across **639 files**, delivered in **MP3 and WAV formats**, with a total size of **212 MB**. This well-prepared **audio dataset** ensures reliable and representative **voice data**, with **55% male and 45% female speakers**, and a wide age distribution from **18 to 50+ years**. The **dataset language** is Filipino (Tagalog), with speakers from the Philippines as well as diaspora communities in the USA, Saudi Arabia, UAE, and Canada, making it a robust **language speech dataset** with real-world linguistic diversity.
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---
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🔗 **Learn more:**
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https://speech-data.ai/datasets/filipino-tagalog/
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---
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## 🚀 Use Cases
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This **Filipino 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 pipelines. It serves as a reliable **speech recognition dataset** for both research and production environments, ensuring stable performance across different accents and recording 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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| 🌍 Language | Filipino / Tagalog (tl) |
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| 🏷️ Tags | Audio, Speech, Speech Recognition, Tagalog, Filipino, 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 geographic diversity, balanced speaker distribution, and production-ready structure. It provides high-quality **audio data** that enhances the performance and scalability of AI systems in multilingual environments. This **voice dataset** is ideal for building accurate and inclusive voice-enabled applications.
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