---
gated: manual

language:
  - hy

tags:
  - speech
  - audio
  - asr
  - ssl
  - hubert
  - wav2vec2
  - wavlm
  - whisper
  - armenian

pretty_name: Armenian 7,500-Hour Speech Dataset (VAD)
---
# Armenian 7,500-Hour Raw Speech Dataset (Public Gated)

A large-scale collection of approximately **7,500 hours** of Armenian speech, prepared for modern speech AI research and large-scale model training.

The audio has been processed using **Voice Activity Detection (VAD)**, converted to **16 kHz mono PCM**, and packaged into **Snappy-compressed Parquet shards (~500 MB each)** for efficient streaming and seamless integration with the Hugging Face `datasets` library.

Designed for training and pre-training state-of-the-art speech models, including **HuBERT**, **Wav2Vec 2.0**, **WavLM**, **Whisper**, and other ASR, speech representation, and speech foundation models.

## Features

* ~7,500 hours of Armenian speech
* Voice Activity Detection (VAD) applied
* 16 kHz mono PCM audio
* Snappy-compressed Parquet shards (~500 MB each)
* Optimized for high-performance data loading
* Fully compatible with the Hugging Face `datasets` library

## Access

**Public Gated Dataset.** Access requires manual approval from the dataset owner.