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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- jv
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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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- Javanese
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size_categories:
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- n<1K
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---
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# ๐ง Javanese Speech Dataset
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The **Javanese Speech Dataset** is a structured and scalable **speech audio dataset** designed to provide high-quality **audio data** for training modern AI and machine learning models. It includes **85 hours of audio data** across **585 files**, delivered in **MP3 and WAV formats**, with a total size of **104 MB**. This well-balanced **audio dataset** offers diverse and representative **voice data**, with **51% female and 49% male speakers**, and an age range spanning from **18 to 50+ years**. The **dataset language** is Javanese, covering speakers from Java and Bali, making it a reliable **language speech dataset** for modeling regional linguistic patterns and dialectal variation.
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---
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๐ **Learn more:**
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https://speech-data.ai/datasets/javanese/
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---
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## ๐ Use Cases
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This **Javanese 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 training pipelines for acoustic modeling and speaker identification, making it a practical **speech recognition dataset** for both research and production use. It is particularly valuable for low-resource language modeling, where high-quality **speech audio dataset** resources are limited but critical for building inclusive AI systems.
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---
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## ๐ Dataset Metadata
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| Field | Value |
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|------------------|-----------------------------------------------------------------------|
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| ๐ License | CC BY-NC-ND 4.0 |
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| ๐ฏ Task Categories | Automatic Speech Recognition |
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| ๐ Language | Javanese (jv) |
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| ๐ท๏ธ Tags | Audio, Speech, Speech Recognition, Machine, Machine Learning, Javanese |
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| ๐ฆ Size Category | n < 1K |
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---
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## โญ Key Value
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The key value of this **voice dataset** lies in its regional specificity, balanced speaker distribution, and production-ready format. It provides reliable **audio data** that enhances model performance and generalization. This **speech dataset** is a strong foundation for developing robust, real-world voice-enabled AI solutions.
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