Update README.md

README.md

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----
-license: cc-by-nc-nd-4.0
----
+---
+license: cc-by-nc-nd-4.0
+task_categories:
+- automatic-speech-recognition
+language:
+- bs
+tags:
+- audio
+- speech
+- machine
+- machine learning
+- speech recognition
+- data
+size_categories:
+- n<1K
+---
+# 🎧 Bosnian Speech Dataset
+
+The **Bosnian Speech Dataset** is a high-quality **speech audio dataset** developed to provide reliable and scalable **audio data** for modern AI and machine learning applications. It includes **169 hours of audio data** across **798 files**, delivered in **MP3 and WAV formats**, with a total size of **371 MB**. This well-structured **audio dataset** ensures balanced and diverse **voice data**, with **51% female and 49% male speakers**, and a wide age distribution from **18 to 50+ years**. The **dataset language** is Bosnian, with speakers from Bosnia and Herzegovina, Serbia, Montenegro, and Croatia, making it a representative **language speech dataset** for regional linguistic variation.
+
+---
+
+🔗 **Learn more:**  
+https://speech-data.ai/datasets/bosnian/
+
+---
+
+## 📊 Dataset Metadata
+
+| Field            | Value                                                                 |
+|------------------|-----------------------------------------------------------------------|
+| 📜 License        | CC BY-NC-ND 4.0                                                      |
+| 🎯 Task Categories | Automatic Speech Recognition                                         |
+| 🌍 Language       | Bosnian (bs)                                                         |
+| 🏷️ Tags          | Audio, Speech, Machine, Machine Learning, Speech Recognition, Data   |
+| 📦 Size Category  | n < 1K                                                               |
+
+---
+
+## 🚀 Use Cases
+
+This **Bosnian speech dataset** supports a wide range of AI applications, including **speech recognition**, voice assistant development, language identification, and translation systems. The structured **speech data** enables efficient training of acoustic and language models, making it a reliable **speech recognition dataset** for both research and production use. It is also suitable for accent recognition and multilingual AI workflows requiring high-quality **voice data**.
+
+---
+
+## ⭐ Key Value
+
+The core value of this **speech dataset** lies in its regional diversity, balanced demographics, and production-ready format. It delivers consistent and high-quality **audio data**, enabling the development of robust and scalable voice-enabled systems. This **voice dataset** helps improve model performance in real-world multilingual and cross-accent environments.