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натуральны рытм і стабільную якасць гуку для прыкладанняў машыннага навучання. Сістэмы штучнага інтэлекту залежаць ад вялікіх аб’ёмаў высакаякасных галасавых дадзеных для паляпшэння сваёй прадукцыйнасці. Запісваючы гэтыя сказы выразна і натуральна | вы ўносіце ўклад у развіццё лепшых тэхналогій распазнавання маўлення. | male | 0:35 | Mp3 | Belarusian | Гэта галасавы аўдыянабор дадзеных | які можна выкарыстоўваць для навучання сістэм штучнага інтэлекту. Кожны запіс быў старанна падрыхтаваны | каб забяспечыць выразнае вымаўленне |
🎧 Belarusian Speech Dataset
The Belarusian Speech Dataset is a high-quality speech audio dataset designed to provide structured and diverse audio data for AI systems focused on speech technologies and language preservation. It includes 118 hours of audio data across 571 files, delivered in MP3 and WAV formats, with a total size of 192 MB. This well-balanced audio dataset ensures reliable voice data, with 55% female and 45% male speakers, and an age distribution spanning from 18 to 50+ years. The dataset language is Belarusian, making this language speech dataset particularly valuable for underrepresented language modeling and regional speech analysis.
🔗 Learn more:
https://speech-data.ai/datasets/belarusian/
🚀 Use Cases
This Belarusian speech dataset supports a wide range of AI applications, including speech recognition, voice assistant development, and text-to-speech systems. The structured speech data enables efficient acoustic modeling, accent analysis, and linguistic research. It is a reliable speech recognition dataset for both academic and production environments, especially in projects focused on heritage language preservation and multilingual AI systems.
📊 Dataset Metadata
| Field | Value |
|---|---|
| 📜 License | CC BY-NC-ND 4.0 |
| 🎯 Task Categories | Automatic Speech Recognition |
| 🌍 Language | Belarusian (be) |
| 🏷️ Tags | Audio, Speech, Speech Recognition, Belarusian, Machine, Machine Learning |
| 📦 Size Category | n < 1K |
⭐ Key Value
The primary value of this speech dataset lies in its linguistic relevance, balanced speaker representation, and production-ready structure. It delivers high-quality audio data that supports the development of accurate and scalable voice-enabled AI systems while contributing to the preservation and advancement of Belarusian language technologies.
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