--- license: cc-by-nc-nd-4.0 task_categories: - automatic-speech-recognition language: - hu tags: - audio - speech - speech recognition - machine - machine learning - Hungarian size_categories: - n<1K --- # 🎧 Hungarian Speech Dataset The **Hungarian Speech Dataset** is a high-quality **speech audio dataset** designed to support advanced AI systems that depend on diverse **audio data** and reliable **voice data** for multilingual model training. It comprises **169 hours of recordings** across **743 files**, provided in **MP3 and WAV formats**, with a total size of **134 MB**. This structured **audio dataset** ensures balanced speaker representation, featuring **46% female and 54% male speakers**, and an age distribution spanning **18 to 50+ years**. The **dataset language** is Hungarian, with contributions from speakers across Hungary, Romania, Slovakia, Serbia, Ukraine, and Austria, making it a geographically diverse **language speech dataset** suitable for real-world AI applications. --- 🔗 **Learn more:** https://speech-data.ai/datasets/hungarian/ --- ## 🚀 Use Cases This **Hungarian speech dataset** is designed for building robust AI solutions, including **speech recognition**, voice assistant development, and natural language processing systems. The structured **speech data** supports acoustic modeling, speaker identification, and scalable machine learning workflows. It is especially useful for developing multilingual applications that require high-quality **speech audio dataset** resources. As a reliable **speech recognition dataset**, it can be applied in both research environments and production-level deployment of voice-driven technologies. --- ## 📊 Dataset Metadata | Field | Value | |------------------|-----------------------------------------------------------------------| | 📜 License | CC BY-NC-ND 4.0 | | 🎯 Task Categories | Automatic Speech Recognition | | 🌍 Language | Hungarian (hu) | | 🏷️ Tags | Audio, Speech, Hungarian, Speech Recognition, Machine, Machine Learning | | 📦 Size Category | n < 1K | --- ## ⭐ Key Value The key value of this **voice dataset** lies in its structured composition, demographic balance, and high-quality **audio data** optimized for real-world AI training scenarios. It improves model robustness across accents and regional variations, making it a strong foundation for scalable **speech dataset** development and multilingual speech technology systems. ---