Speech-data/armenian-speech-dataset

---
license: cc-by-nc-nd-4.0
task_categories:
- automatic-speech-recognition
language:
- hy
tags:
- armenian
- audio
- speech
- speech recognition
- machine
- machine learning
size_categories:
- 1K<n<10K
---
# 🎧 Armenian Speech Dataset

## 📘 Overview

The **Armenian Speech Dataset** is a high-quality **speech audio dataset** designed for building, training, and evaluating modern AI voice technologies. It provides structured **audio data** optimized for deep learning workflows in speech processing. The dataset includes **76 hours of audio data** distributed across **558 files**, delivered in **MP3 and WAV formats**, with a total size of **189 MB**.

This carefully curated **audio dataset** ensures balanced and diverse **voice data**, featuring **52% female and 48% male speakers**, and a broad age distribution from **18 to 50+ years**. The **dataset language** is Armenian, covering speakers from Armenia and diaspora communities, which introduces natural variability in pronunciation, accent, and speaking style. This makes it a reliable **language speech dataset** for real-world applications.

🔗 **Learn more:**
https://speech-data.ai

## 🚀 Use Cases

This **voice dataset** is suitable for a wide range of AI applications, including **speech recognition**, voice assistant development, transcription systems, and natural language processing. The structured **speech data** supports acoustic modeling, language modeling, and speaker identification tasks with high efficiency.

It is widely used as a **speech recognition dataset** for both research and production-grade systems, enabling robust model training across different acoustic environments. The dataset also supports multilingual and cross-domain adaptation scenarios, similar in scope to an **audio dataset** used in other regional languages.

## ⭐ Key Value

The key value of this **speech dataset** lies in its linguistic consistency, balanced speaker distribution, and clean production-ready structure. It delivers high-quality **audio data** that enables the development of accurate and scalable AI voice systems capable of handling natural Armenian speech variability.