--- license: cc-by-nc-nd-4.0 task_categories: - automatic-speech-recognition language: - as tags: - speech - assamese - audio - machine - machine learning - speech recognition size_categories: - n<1K --- # 📊 Dataset Metadata | Field | Value | |------------------|-----------------------------------------------------------------------| | 📜 License | CC BY-NC-ND 4.0 | | 🎯 Task Categories | Automatic Speech Recognition | | 🌍 Language | Assamese (as) | | 🏷️ Tags | Speech, Assamese, Audio, Machine, Machine Learning, Speech Recognition | | 📦 Size Category | n < 1K | # 🎧 Assamese Speech Dataset The **Assamese Speech Dataset** is a high-quality **speech audio dataset** designed to support advanced AI systems with structured and diverse **audio data** for multilingual speech processing. It provides **183 hours of audio data** across **630 files**, delivered in **MP3 and WAV formats**, with a total size of **328 MB**. This scalable **audio dataset** is optimized for machine learning pipelines requiring clean, well-distributed **voice data** for robust model training and evaluation. The dataset language is Assamese, collected from speakers in **India (Assam)**, ensuring authentic regional coverage and natural pronunciation patterns. It includes a balanced speaker distribution with **48% female and 52% male participants**, and a diverse age range from **18 to 50+ years**. This makes it a reliable **voice dataset** for building high-performance speech technologies. The structured **speech data** supports consistent preprocessing and is suitable for large-scale AI training workflows, making it a strong **speech recognition dataset** for research and production use. --- 🔗 **Learn more:** https://speech-data.ai/datasets/assamese/ --- ## 🚀 Use Cases This **Assamese speech dataset** is widely used in **speech recognition**, natural language processing, voice assistant development, acoustic modeling, and speaker identification systems. It also supports multilingual AI training pipelines and can be adapted for comparative linguistic studies alongside datasets such as a **Bengali speech dataset**. --- ## ⭐ Key Value The key value of this **speech dataset** lies in its regional authenticity, balanced demographic representation, and production-ready structure. It delivers high-quality **audio data** that enhances the performance of AI models in real-world speech applications, enabling accurate and scalable voice-enabled systems. ---