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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- mk
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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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- Macedonian
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size_categories:
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- n<1K
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---
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# π§ Macedonian Speech Dataset
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The **Macedonian Speech Dataset** is a high-quality **speech audio dataset** designed to provide structured and reliable **audio data** for AI and machine learning systems. It includes **128 hours of audio data** distributed across **654 files**, delivered in **MP3 and WAV formats**, with a total size of **279 MB**. This carefully curated **audio dataset** ensures diverse and representative **voice data**, with **55% female and 45% male speakers**, and an age range spanning from **18 to 50+ years**. The **dataset language** is Macedonian, with recordings collected across North Macedonia and neighboring regions, making it a valuable **language speech dataset** for modeling regional linguistic nuances.
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---
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π **Learn more:**
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https://speech-data.ai/datasets/macedonian/
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---
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## π Use Cases
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This **Macedonian speech dataset** supports a wide spectrum of AI applications, including **speech recognition**, voice assistant development, and natural language processing. The structured **speech data** enables efficient acoustic modeling and speaker identification, making it a dependable **speech recognition dataset** for both research and production environments. It is particularly useful for multilingual AI systems that require consistent and high-quality **speech audio dataset** resources to improve performance across diverse accents and contexts.
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---
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## π Dataset Metadata
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| Field | Value |
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|------------------|-----------------------------------------------------------------------|
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| π License | CC BY-NC-ND 4.0 |
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| π― Task Categories | Automatic Speech Recognition |
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| π Language | Macedonian (mk) |
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| π·οΈ Tags | Audio, Speech, Speech Recognition, Machine, Machine Learning, Macedonian |
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| π¦ Size Category | n < 1K |
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---
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## β Key Value
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The key value of this **voice dataset** lies in its balanced demographic composition, regional diversity, and production-ready structure. It provides high-quality **audio data** that enhances model accuracy and generalization. This **speech dataset** is a strong foundation for building scalable, robust, and high-performance voice-enabled AI solutions.
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