Armenian_audio

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.